The ‘df‘ command stands for “disk filesystem“, it is used to get a full summary of available and used disk space usage of the file system on the Linux system.

Using ‘-h‘ parameter with (df -h) will show the file system disk space statistics in “human-readable” format, which means it gives the details in bytes, megabytes, and gigabytes.

In this guide, we’ll go beyond the basic flags and show you how to actually read df output, combine options for more useful results, and catch disk space problems before they cause downtime.

What Does the df Command Show?

When you run df, it reports six columns for each mounted filesystem:

Note: The Available column is not simply “Total minus Used.” Linux reserves a portion of each filesystem (typically 5%) for the root user to prevent system crashes when disk space runs low. This is why Used + Available often doesn’t equal the total size.

df Command Syntax

If no filesystem is specified, df reports on all currently mounted filesystems.

df [OPTIONS] [FILESYSTEM]

1. Check Overall Disk Space Usage

The “df” command displays the information of device name, total blocks, total disk space, used disk space, available disk space, and mount points on a file system.

sudo df

This is useful for scripting – raw block numbers are easier to parse programmatically. For daily sysadmin work, you’ll almost always want to add -h.

2. Show Disk Space in Human-Readable Format (The One You’ll Use Most)

The -h flag converts bytes into KB, MB, GB, or TB automatically – whichever unit makes the most sense for the size involved.

df -h

Sample output:

Filesystem      Size  Used Avail Use% Mounted on
tmpfs           3.2G  2.6M  3.2G   1% /run
/dev/sda1       696G  321G  339G  49% /
tmpfs            16G  861M   15G   6% /dev/shm
tmpfs           5.0M   12K  5.0M   1% /run/lock
efivarfs        256K   49K  203K  20% /sys/firmware/efi/efivars
tmpfs            16G     0   16G   0% /run/qemu
/dev/sda2       286M  6.2M  280M   3% /boot/efi
tmpfs           3.2G  156K  3.2G   1% /run/user/1000
/dev/sdb3       274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1       229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2       458G   74G  361G  17% /media/ravi/Linux_VM

Pro Tip: Any time Use% is above 85%, treat it as a warning sign and investigate. At 95%+, you may start seeing application errors, failed writes, and corrupted log files.

3. Show All Filesystems Including Pseudo Filesystems

The command "df -a" is used to display information about all the mounted filesystems disk space usage, which includes total space, used space, available space, memory utilization, and the percentage of space used for each filesystem.

It also shows pseudo filesystems like tmpfs, sysfs, proc, and devtmpfs – which normally show 0 blocks and are hidden by default.

You’ll typically use this when debugging container environments, chroot setups, or systemd mount unit issues where a pseudo-filesystem mount isn’t behaving as expected.

df -a

4. Show Filesystem Type Alongside Disk Usage

Combining -T (type) and -h (human-readable) in one shot gives you a much more useful overview than running either alone, which is particularly helpful when you’re managing servers with a mix of ext4, xfs, and btrfs filesystems and need to know which tools to use for resizing or repair.

df -Th

Sample output:

Filesystem     Type      Size  Used Avail Use% Mounted on
tmpfs          tmpfs     3.2G  2.6M  3.2G   1% /run
/dev/sda1      ext4      696G  321G  339G  49% /
tmpfs          tmpfs      16G  869M   15G   6% /dev/shm
tmpfs          tmpfs     5.0M   12K  5.0M   1% /run/lock
efivarfs       efivarfs  256K   49K  203K  20% /sys/firmware/efi/efivars
tmpfs          tmpfs      16G     0   16G   0% /run/qemu
/dev/sda2      vfat      286M  6.2M  280M   3% /boot/efi
tmpfs          tmpfs     3.2G  160K  3.2G   1% /run/user/1000
/dev/sdb3      ext4      274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1      ext4      229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2      ext4      458G   74G  361G  17% /media/ravi/Linux_VM

5. Check Disk Space for a Specific Directory or Partition

The command "df -hT /home" is used to display disk space utilization of /home directory or partition in a human-readable format. The -T option shows the filesystem type (ext4) along with other information.

df -hT /home

Or check multiple at once:

df -h / /home /var

6. Check Disk Space Usage in Kilobytes

To display all mounted filesystem information and usage in 1024-byte blocks, use the option ‘-k‘ (e.g. --block-size=1K), which provides information about each filesystem on your system, presenting sizes in kilobytes (kb).

sudo df -k

7. Check Disk Space Usage in Megabytes

To display information on all file system usage in MB (MegaByte) use the option ‘-m‘, which presents sizes in megabytes (MB).

sudo df -m

8. Check Disk Space Usage in Gigabyte

The -B flag lets you specify an explicit block size. -BG forces gigabyte units, -BM forces megabytes, and -BK forces kilobytes – giving you predictable, fixed-unit output for scripts and reports rather than the auto-scaling behavior of -h.

sudo df -BG

Sample output:

Filesystem     1G-blocks  Used Available Use% Mounted on
tmpfs                 4G    1G        4G   1% /run
/dev/sda1           696G  321G      339G  49% /
tmpfs                16G    1G       15G   6% /dev/shm
tmpfs                 1G    1G        1G   1% /run/lock
efivarfs              1G    1G        1G  20% /sys/firmware/efi/efivars
tmpfs                16G    0G       16G   0% /run/qemu
/dev/sda2             1G    1G        1G   3% /boot/efi
tmpfs                 4G    1G        4G   1% /run/user/1000
/dev/sdb3           274G    3G      258G   2% /media/ravi/Personal_Sites
/dev/sdb1           229G  211G        6G  98% /media/ravi/Personal_Data
/dev/sdb2           458G   74G      361G  17% /media/ravi/Linux_VM

Note: df -h and df -BG are not the same. -h auto-selects the most readable unit per filesystem (so a 500MB partition shows in MB, not GB). -BG forces GB across the board, which means small filesystems show as 0G.

9. Check Inode Usage in Linux

Inodes are what Linux uses to track files and directories – not file contents, but the metadata (permissions, ownership, timestamps, pointers to data blocks). A filesystem can run out of inodes while still having plenty of disk space, which will cause No space left on device errors even though df -h shows free space available.

df -ih

Sample output:

Filesystem     Inodes IUsed IFree IUse% Mounted on
tmpfs            4.0M  1.3K  4.0M    1% /run
/dev/sda1         45M  1.6M   43M    4% /
tmpfs            4.0M  2.2K  4.0M    1% /dev/shm
tmpfs            4.0M     8  4.0M    1% /run/lock
efivarfs            0     0     0     - /sys/firmware/efi/efivars
tmpfs            4.0M     1  4.0M    1% /run/qemu
/dev/sda2           0     0     0     - /boot/efi
tmpfs            801K   152  801K    1% /run/user/1000
/dev/sdb3         18M  9.5K   18M    1% /media/ravi/Personal_Sites
/dev/sdb1         15M   21K   15M    1% /media/ravi/Personal_Data
/dev/sdb2         30M  2.2K   30M    1% /media/ravi/Linux_VM

Warning: If IUse% is above 90%, you have an inode exhaustion problem, which is commonly happens on mail servers, web servers with many small cache files, or systems where a runaway process has created thousands of temp files.

10. Filter df Output to Show Only a Specific Filesystem Type

This shows disk usage only for ext4 filesystems, which is useful on systems with a mix of filesystem types when you want to focus on just one kind.

df -t ext4 -h

Sample Output:

Filesystem      Size  Used Avail Use% Mounted on
/dev/sda1       696G  321G  339G  49% /
/dev/sdb3       274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1       229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2       458G   74G  361G  17% /media/ravi/Linux_VM

Similarly, to check only xfs filesystems:

df -t xfs -h

11. Check Linux File System Type

The -x option excludes the specified filesystem type from the output, which is handy for cleaning up df -h output on systems where tmpfs mounts (for /dev/shm, /run, etc.) clutter the display and aren’t relevant to what you’re checking.

df -x tmpfs -h

Sample Output:

Filesystem      Size  Used Avail Use% Mounted on
/dev/sda1       696G  321G  339G  49% /
efivarfs        256K   49K  203K  20% /sys/firmware/efi/efivars
/dev/sda2       286M  6.2M  280M   3% /boot/efi
/dev/sdb3       274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1       229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2       458G   74G  361G  17% /media/ravi/Linux_VM

12. Show Custom Output Columns

The --output option lets you specify exactly which columns appear and in what order, which is particularly useful in scripts and monitoring tools where you need a specific column layout. Available fields include: source, fstype, itotal, iused, iavail, ipcent, size, used, avail, pcent, file, and target.

df -h --output=source,fstype,size,used,avail,pcent,target

Sample Output:

Filesystem     Type      Size  Used Avail Use% Mounted on
tmpfs          tmpfs     3.2G  2.9M  3.2G   1% /run
/dev/sda1      ext4      696G  321G  339G  49% /
tmpfs          tmpfs      16G  859M   15G   6% /dev/shm
tmpfs          tmpfs     5.0M   12K  5.0M   1% /run/lock
efivarfs       efivarfs  256K   49K  203K  20% /sys/firmware/efi/efivars
tmpfs          tmpfs      16G     0   16G   0% /run/qemu
/dev/sda2      vfat      286M  6.2M  280M   3% /boot/efi
tmpfs          tmpfs     3.2G  164K  3.2G   1% /run/user/1000
/dev/sdb3      ext4      274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1      ext4      229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2      ext4      458G   74G  361G  17% /media/ravi/Linux_VM

13. Monitor Disk Space in Real Time

The watch command re-runs df -h every 5 seconds and highlights changes. Use this when you’re running a large file copy, database dump, or log-generating operation and want to see disk space change in real time without manually re-running the command.

watch -n 5 df -h

Sample Output:

Every 5.0s: df -h                                                                                                                                                                   tecmint: Tue Mar 31 12:04:11 2026

Filesystem      Size  Used Avail Use% Mounted on
tmpfs           3.2G  2.9M  3.2G   1% /run
/dev/sda1       696G  321G  339G  49% /
tmpfs            16G  872M   15G   6% /dev/shm
tmpfs           5.0M   12K  5.0M   1% /run/lock
efivarfs        256K   49K  203K  20% /sys/firmware/efi/efivars
tmpfs            16G     0   16G   0% /run/qemu
/dev/sda2       286M  6.2M  280M   3% /boot/efi
tmpfs           3.2G  164K  3.2G   1% /run/user/1000
/dev/sdb3       274G  2.9G  258G   2% /media/ravi/Personal_Sites
/dev/sdb1       229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sdb2       458G   74G  361G  17% /media/ravi/Linux_VM

14. Sort df Output by Usage Percentage

This pipes df -h output through sort, ordering results by the Use% column (field 5) in reverse numeric order – so the most full filesystems appear at the top. This is the quickest way to spot which partition needs attention on a server with many mounts.

df -h | sort -k5 -rn

Sample Output:

/dev/sdb1       229G  211G  6.0G  98% /media/ravi/Personal_Data
/dev/sda1       696G  321G  339G  49% /
efivarfs        256K   49K  203K  20% /sys/firmware/efi/efivars
/dev/sdb2       458G   74G  361G  17% /media/ravi/Linux_VM
tmpfs            16G  862M   15G   6% /dev/shm
/dev/sda2       286M  6.2M  280M   3% /boot/efi
/dev/sdb3       274G  2.9G  258G   2% /media/ravi/Personal_Sites
tmpfs           5.0M   12K  5.0M   1% /run/lock
tmpfs           3.2G  2.9M  3.2G   1% /run
tmpfs           3.2G  164K  3.2G   1% /run/user/1000
tmpfs            16G     0   16G   0% /run/qemu
Filesystem      Size  Used Avail Use% Mounted on

Pro Tip: Add this as an alias in your ~/.bashrc for quick daily checks:

alias dfs='df -h | sort -k5 -rn'

15. Check df Command Options

Prints all available options with brief descriptions. Use man df for the full manual.

df --help

Sample Output:

Usage: df [OPTION]... [FILE]...
Show information about the file system on which each FILE resides,
or all file systems by default.

Mandatory arguments to long options are mandatory for short options too.
  -a, --all             include pseudo, duplicate, inaccessible file systems
  -B, --block-size=SIZE  scale sizes by SIZE before printing them; e.g.,
                           '-BM' prints sizes in units of 1,048,576 bytes;
                           see SIZE format below
  -h, --human-readable  print sizes in powers of 1024 (e.g., 1023M)
  -H, --si              print sizes in powers of 1000 (e.g., 1.1G)
  -i, --inodes          list inode information instead of block usage
  -k                    like --block-size=1K
  -l, --local           limit listing to local file systems
...

Reading df Output: Practical Scenarios

Here are the scenarios that actually happen in production.

Scenario 1: Disk full but you can’t find what’s filling it

df -h shows /var at 99%, but du -sh /var/* shows only 10GB used. This classic mismatch usually means a deleted file is still held open by a running process — the space won’t be freed until that process closes or restarts.

# Find processes holding deleted files open
lsof +L1 | grep /var

Restart the relevant service and the space will free up immediately.

Scenario 2: Application throwing “No space left on device” but df shows free space

Check inodes first:

df -ih /var

If IUse% is at or near 100%, you’ve hit inode exhaustion. Common culprits: mail queues, PHP session files, or container overlay layers.

Scenario 3: Monitoring disk usage in a cron job

This script checks all mounted filesystems and sends an alert email when any partition crosses 85% usage.

#!/bin/bash
THRESHOLD=85
df -h --output=pcent,target | tail -n +2 | while read PCT MNT; do
    NUM=${PCT%%%}
    if [ "$NUM" -ge "$THRESHOLD" ]; then
        echo "WARNING: $MNT is at $PCT" | mail -s "Disk Alert: $MNT" [email protected]
    fi
done

df vs du – Which One Should You Use?

A common point of confusion:

Use df first to identify which partition is the problem, then use du command to drill down into what is causing it.

Quick Reference: Most Useful df Commands

Conclusion

The df command is straightforward, but most guides stop at the basic flags. In practice, knowing how to combine options, interpret edge cases like inode exhaustion, and automate alerts is what separates reactive disk management from proactive server administration.

If your immediate problem is a full disk and you need to find what’s eating space, pair df -h with du -sh /* | sort -rh | head -20 to quickly identify the largest directories.

For related disk management tools, see:

You might also like:

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Server performance metrics are measurements that show how a server uses resources such as CPU, memory, disk, and network, how quickly it responds to requests, and how reliably it remains available.

A server sits behind most digital services, handling requests from websites, apps, APIs, and databases. When that system runs efficiently, pages load faster, actions complete smoothly, and services stay online.

When it does not, delays, failed requests, and outages start to appear. That is why metrics like response time, uptime, error rate, and load are just as important as raw resource usage.

Regular monitoring turns those numbers into early warning signs. It helps you spot bottlenecks before users notice them, understand whether pressure is coming from compute, storage, or traffic, and make better decisions about optimization, scaling, and troubleshooting.

What are server performance metrics

Server performance metrics are measurements that show how a server uses its resources and how well it responds to requests.

A server is a machine that handles requests and returns responses, but in practice, different parts of the system handle different steps.

• A web server receives the request and sends back a response (like an HTML page).
• An application layer processes logic (for example, logging a user in).
• A database stores and retrieves data.

For example, when you open a website, the web server accepts your request, the application processes your request, the database provides the data, and the final result is sent back to your browser.

These metrics track the key parts of that process:

• CPU usage – how much processing power is being used to handle tasks.
• Memory usage (RAM) – how much working data the server is holding at a time.
• Disk activity – how fast the server reads and writes data to storage.
• Network performance – how quickly data moves in and out of the server.
• Uptime and error rates – how often the server stays available and how often requests fail.

These are the foundation, but they are not the full picture.

To understand real performance, you also track metrics that show pressure, delays, and capacity limits.

These include response time, request rate, load average, disk latency, queue length, concurrency (how many requests run at once), and swap usage (when memory spills to disk). These metrics explain why a server slows down, not just that it slows down.

The purpose of all these measurements is to detect issues before users feel them. For example, CPU usage might look normal, but a growing queue length tells you requests are piling up. Disk speed might seem fine, but high disk latency reveals slow database queries.

Regular monitoring turns raw data into early warnings. It helps you spot bottlenecks, prevent crashes, and understand how your server behaves as traffic grows.

Key server performance metrics to track

Server performance metrics fall into six core groups that show how your server behaves under load and where it starts to break down.

Each group focuses on a different part of the system, so you can quickly spot what is slowing things down:

1. Compute performance – how processing power is used (CPU, load average).
2. Memory performance – how efficiently RAM is used (memory, swap).
3. Storage performance – how fast and responsive your disk is (disk I/O, latency).
4. Network performance – how quickly data moves between systems (latency, throughput).
5. Request handling – how the server deals with traffic (response time, request rate, concurrency, queue length).
6. Reliability – how stable and error-free the server is (uptime, error rates).

Instead of looking at isolated numbers, you can connect issues to a specific part of the server.

1. CPU utilization

CPU utilization shows how much of your server’s processing power is being used at any moment.

The CPU is what runs code. Every request, whether it is loading a page, running a script, or querying a database, needs CPU time. If the CPU is busy, everything else slows down.

High CPU usage means the server is close to its limit. When that happens, requests take longer to process, and users start to notice delays.

Here is a simple way to think about it: If your server were a kitchen, the CPU would be the chef. If too many orders come in at once, the chef cannot keep up, and every dish takes longer.

As a general benchmark:

• 0–50% usage means the server has plenty of capacity.
• 50–70% usage shows healthy load with room to grow.
• 70–85% usage signals pressure building under sustained traffic.
• 85–100% usage means the CPU is saturated, and performance will degrade.

Short spikes into high usage are normal. The real problem is consistently high CPU, especially above 80%.

Common causes of high CPU usage include:

• Too many requests hitting the server at the same time
• Inefficient code or heavy background tasks
• Poorly optimized database queries
• Traffic spikes without enough resources

One important detail is that high CPU usage is not always the root problem. Sometimes the CPU stays busy because other parts of the system are slow. For example, if disk operations take too long, tasks build up, keeping the CPU occupied.

That is why you should always look at CPU usage alongside metrics such as load average and response time.

In practice, CPU utilization answers one key question:

Is your server keeping up with the work, or falling behind?

2. Memory consumption

Memory consumption shows how much RAM your server is using at a given time.

RAM is where the server stores data that needs quick access. This includes active applications, user sessions, and cached data.

When memory usage gets too high, the server runs into problems. It may slow down, fail to handle new requests, or crash completely.

Think of RAM as your desk space. If your desk is clean, you can work quickly. If it is covered with papers, everything takes longer because you have no room to work.

As a general benchmark:

• 0–60% usage means memory is healthy with plenty of headroom.
• 60–75% usage shows normal operation under moderate load.
• 75–90% usage signals pressure building and limited capacity.
• 90–100% usage means the server is at risk of slowdowns or crashes.

Unlike the CPU, memory should not stay near its limit. A healthy system maintains a buffer to handle sudden spikes in traffic.

High memory usage usually comes from:

• Too many applications or processes running at once.
• Memory leaks, where applications keep using memory without releasing it.
• Large datasets being loaded into memory.
• High traffic that increases active sessions.

When RAM fills up, the server may start using swap, which means it moves data to disk. Disk storage is much slower than memory, so performance drops sharply.

Even small amounts of swap under load are a warning sign. It means the server has already run out of fast memory and is relying on slower storage.

Unlike CPU spikes, high memory usage is more dangerous because it builds up over time. Once memory is exhausted, the server cannot recover easily without restarting processes or freeing resources.

Memory metrics answer one key question:

Does your server have enough working space to handle the current demand without slowing down?

3. Disk I/O (read/write speed)

Disk I/O measures how quickly your server can read data from storage and write it back.

Your server uses disk when it needs data that is not already in memory. This can include loading images, reading database records, or saving user uploads.

If the disk is slow, the entire system slows down, even if CPU and memory look fine.

For example, when someone opens a product page, the server may need to fetch images, load content, and query a database. All of that involves disk operations. If those reads take too long, the page loads slowly.

A practical way to judge disk I/O is by impact:

• Fast disk → pages load quickly and queries return instantly.
• Slow disk → delays appear across the entire application, especially in database-heavy tasks.

Common causes of poor disk performance include:

• Using HDD instead of SSD
• Too many read and write operations at the same time
• Heavy database activity
• No caching, which forces repeated disk access

One important detail is that disk speed alone does not tell the full story. A disk may have high throughput but still feel slow due to delays in completing each operation. That is why disk latency is tracked separately.

Disk I/O answers a simple question:

Can your server move data fast enough to keep up with demand?

4. Network latency and throughput

Network latency and throughput reveal how well your server communicates with users, browsers, APIs, and other systems.

Latency is the delay between sending a request and getting a response.

Throughput is the amount of data transferred per unit of time.

For instance, if a user clicks a button and waits before anything starts loading, that is a latency issue. If a large file starts downloading but moves slowly, that is a throughput issue.

Latency affects speed first. Even small requests feel slow when there is too much delay between systems. Throughput affects capacity. It shows how much data your server can move when traffic increases.

As a general benchmark:

• Low latency means requests move quickly and responses start fast.
• High latency means users feel a delay, even on small actions.
• High throughput means the server can transfer a lot of data without slowing down.
• Low throughput means the connection becomes a bottleneck during larger transfers or heavy traffic.

For many web applications, latency under 100 ms is strong, 100 to 200 ms is usually acceptable, and anything consistently above 200 ms starts to feel slow.

Throughput is harder to benchmark with one fixed number because it depends on the application. A simple website needs far less bandwidth than a video platform or backup service.

Common causes of poor network performance include:

• Long physical distance between the server and the user
• Congested networks or limited bandwidth
• Too many services talking to each other across the network
• Poor routing or misconfigured infrastructure

High latency slows communication between systems. That affects page loads, API calls, database connections, and anything else that depends on fast back-and-forth communication.

This is why network issues are often easy to miss at first. CPU and memory may look healthy, but users still experience a slow application because the delay happens while data travels across the network.

Network latency and throughput answer one key question:

Can your server move data quickly enough and in large enough volumes to keep the application responsive?

5. Uptime

Uptime signals the percentage of time your server stays available and able to respond to requests.

CPU, memory, and speed may all look fine when the system is running, but uptime tells you whether the service is actually available over time.

For example, if someone tries to open your website and gets an error because the server is offline, that is an uptime problem.

Uptime is usually shown as a percentage. The closer that number is to 100%, the more reliable the server is.

Here are simple benchmarks:

• 99% uptime means about 7 hours and 18 minutes of downtime per month.
• 99.9% uptime means about 43 minutes of downtime per month.
• 99.95% uptime means about 22 minutes of downtime per month.
• 99.99% uptime means about 4 minutes and 23 seconds of downtime per month.

At a glance, 99.9% looks almost perfect. In practice, it still means your service is unavailable for nearly three-quarters of an hour every month.

The acceptable level depends on what you run. A personal site can tolerate more downtime than an online store, SaaS platform, or customer portal.

If users rely on your service to log in, make payments, or access data, uptime becomes a business metric rather than just a technical one.

Low uptime usually points to larger problems, such as:

• Server crashes
• Resource exhaustion
• Failed updates
• Network outages
• Misconfigurations

You should also remember that uptime does not show the full user experience. A server can stay technically online while responding very slowly or returning errors. That is why uptime should always be read alongside response time and error rates.

Uptime answers one key question:

How reliably is your server available when people try to use it?

6. Error rates

Error rates indicate how often requests fail rather than succeed.

This metric tells you whether your server is delivering working responses or breaking down during real use. A high error rate means users are hitting problems, even if the server is still online.

A failed request can take different forms. One common example is a 5xx error, which means the problem is on the server side.

If a user tries to open a page and gets a 500 Internal Server Error or 503 Service Unavailable message, that counts toward the error rate.

This matters because availability alone is not enough. A server may stay up, but if it keeps returning errors, the service is still failing.

You can think of it like this: If uptime tells you whether the shop door is open, error rate tells you whether customers can actually place an order once they walk in.

As a general benchmark:

• Below 1% is a healthy target for many applications.
• 1% to 2% is a warning sign that needs attention.
• Above 2% points to a real reliability problem.

Error rates should stay low and stable. If they rise, something is broken or under too much pressure.

Common causes of higher error rates include:

• Overloaded servers
• Application bugs
• Failed database connections
• Timeout issues
• Bad deployments or configuration mistakes

Error rates also help you find problems that other metrics miss. For example, CPU and memory may look normal, but users may still see failures because an app service, API, or database query is breaking in the background.

Error rates answer one key question:

Is your server just running, or is it actually working as expected?

7. Response time

Response time is the time it takes the server to respond to a request.

When response time is low, pages load faster, and actions feel smooth. It also means the server responds faster, helping reduce initial server response time in WordPress and other web applications.

For instance, when someone clicks “Log in” or opens a product page, the server needs time to process the request and send back a result. Response time measures that delay.

Simply put, response time is the gap between asking for something and getting it back.

As a general benchmark:

• Under 200 ms feels very fast.
• 200 to 500 ms is acceptable for many actions.
• 500 ms to 1 second starts to feel slow.
• Above 1 second creates a visible delay and hurts the user experience.

The right target depends on the task. A simple page request should be faster than a complex search or report.

High response time usually comes from:

• High CPU or memory pressure
• Slow database queries
• Disk delays
• Network latency
• Too many requests arriving at once

Improving response time often comes down to server setup and caching. For example, using optimized WordPress hosting with built-in caching like LiteSpeed, which is included in platforms like Hostinger, can help reduce initial server response time in WordPress and other applications.

Response time answers one key question:

How long does a user wait before the server starts delivering what they asked for?

8. Load average (server load)

The load average shows how many tasks are actively using the CPU or waiting for CPU time.

This metric helps you see how busy the server really is. While CPU utilization shows how much processing power is being used, load average shows how many processes are competing for that processing time.

A server can have normal CPU usage and still be under pressure if too many tasks are lined up waiting to run.

Imagine one checkout lane in a store. CPU usage tells you whether the cashier is busy right now. Load average tells you how many people are standing in line. Even if the cashier is not working at full speed every second, a long line still means the system is struggling to keep up.

On Linux systems, load average is usually shown as three numbers. These numbers reflect the average system load over the last 1, 5, and 15 minutes. For example, a load average of 0.50, 0.70, 0.90 means the server had a lighter load in the short term and a slightly higher load over a longer period.

To read the load average correctly, you need to compare it with the number of CPU cores:

• A load equal to the number of CPU cores means the server is fully busy but still keeping up.
• A load below the number of CPU cores indicates spare capacity.
• A load above the number of CPU cores means tasks are waiting, and the server is under strain.

For example:

• On a 4-core server, a load average of 4.0 means the system is fully occupied
• A load average of 2.0 on that same server is comfortable
• A load average of 6.0 means work is backing up

A load of 2 is high on a 1-core server but light on an 8-core server.

High load with normal CPU usage is an important warning sign. It often means processes are stuck waiting on something else, such as disk access, network delays, or blocked application threads.

Common causes of high load average include:

• Too many processes running at the same time
• Slow disk operations
• Heavy database activity
• Traffic spikes
• Applications that block while waiting for other resources

Load average helps you catch bottlenecks early. It shows pressure building before CPU usage reaches its limit and before users feel a major slowdown.

Load average answers one key question:

How much work is the server trying to handle at once, and is that work starting to pile up?

9. Thread count/concurrency

Thread count and concurrency reveal how many requests your server is handling at the same time.

Concurrency is the number of active requests the server is working on at once.

Thread count is one way to support that work, since many servers use threads to process multiple requests in parallel.

Servers do not handle traffic one request at a time. If 500 people open your site at once, the server has to handle many requests simultaneously. That includes loading pages, running app logic, and fetching data.

You can imagine it like this: Concurrency is the number of callers being served at once. Threads are the staff handling those calls. If more callers arrive than the team can handle, wait times grow, and some calls get dropped.

High concurrency is not automatically a problem. It often just means your site or app is busy. The real issue starts when the server cannot keep up with that demand.

As a general benchmark:

• Low to moderate concurrency with stable response times means the server is handling traffic well.
• Rising concurrency with steady performance shows healthy capacity.
• High concurrency with slower response times signals that the server is reaching its limit.

The safe level depends on the server setup. A lightweight static site can handle many more concurrent requests than a database-heavy application.

That is why you should judge concurrency by its effect on response time, error rates, CPU, and memory, not by one fixed number alone.

Too many threads create overhead of their own. Each thread uses memory and CPU time. If the server creates more threads than it can efficiently manage, performance degrades. In that case, the server spends too much time switching between tasks and not enough time finishing them.

Common causes of concurrency problems include:

• Traffic spikes
• Slow database queries
• Long-running requests
• Too many threads configured in the application
• Limited CPU or memory resources

Thread count and concurrency answer one key question:

How many requests can your server handle at once before performance starts to break down?

10. Disk latency (not just I/O speed)

Disk latency is the time the server waits for a disk operation to complete.

This metric is different from disk I/O speed. Disk I/O tells you how much data the server can read or write. Disk latency tells you how quickly each individual operation completes. That makes latency more useful when you want to understand why an application feels slow.

In simple terms, disk I/O speed is how much water can move through a pipe. Disk latency is how long it takes for the water to start flowing after you turn the tap on.

A disk can show decent read and write speeds on paper and still feel slow if each operation takes too long to begin or complete. This is why disk latency often catches problems that raw speed numbers miss.

For example, a database-driven website does not just move large files around. It performs many small, fast reads and writes. If each of those operations is delayed, page loads slow down, searches take longer, and user actions feel sluggish even when total disk throughput looks acceptable.

As a general benchmark:

• Under 1 ms is excellent for modern SSD-based systems.
• 1 to 5 ms is healthy for many server workloads.
• 5 to 10 ms shows growing storage pressure.
• Above 10 ms is a warning sign for performance-sensitive applications.
• Above 20 ms usually causes noticeable slowdowns.

These numbers are general guides, not hard rules. What matters most is consistency. If disk latency rises during traffic spikes or remains high for extended periods, storage becomes a bottleneck.

Common causes of high disk latency include:

• Overloaded disks
• Too many small read and write operations at once
• Slow or aging storage hardware
• Shared hosting environments with heavy neighboring workloads
• Poor database indexing, which increases disk access

Disk latency answers one key question:

How long is your server waiting on storage before it can keep working?

11. Request rate (throughput)

Request rate, often called throughput, shows how many requests your server handles per second.

This metric tells you how much traffic your server is processing in real time. It reflects both demand and your server’s ability to keep up with it.

For example, if your site handles 100 requests per second, that means 100 users are loading pages, calling APIs, or triggering actions every second. As traffic grows, this number should increase without causing slowdowns.

Simply put, the request rate is the number of customers your store serves per second. The higher the number, the busier the store. What matters is whether the service stays fast as more people arrive.

As a general benchmark:

• Increasing the request rate while maintaining stable response times indicates the server is scaling well.
• High request rate with no errors shows strong performance under load.
• A stable or dropping request rate during traffic spikes signals that the server cannot keep up.

Throughput, on its own, is neither good nor bad. A high number usually means high demand. The key is how the server behaves as that number grows.

For example:

• If the request rate increases and the response time stays low, your system is handling the load efficiently.
• If the request rate increases and the response time rises, the server is under pressure.
• If the request rate drops while traffic is expected to be high, requests may time out or fail.

Common causes of throughput issues include:

• CPU or memory limits
• Slow database queries
• Disk or network bottlenecks
• Too many concurrent requests overwhelming the system

Request rate answers one key question:

How much work is your server actually handling, and is it keeping up as demand increases?

12. Queue length

The queue length reveals how many requests are waiting for the server to process them.

This metric tells you whether the server is keeping up with incoming work or letting requests pile up.

A short queue is normal. Servers often have brief moments when a few requests wait their turn. The problem starts when the queue keeps growing. That means new requests are arriving faster than the server can handle them.

When requests sit in a queue too long, pages load slowly, API calls stall, and some actions time out before the server even gets to them.

As a general benchmark:

• A queue that stays near zero means the server is keeping up well.
• Short spikes that clear quickly are usually normal during busy moments.
• A queue that grows and stays high signals the server is falling behind.
• A steadily rising queue is a warning sign that delays and timeouts are coming.

There is no single safe number for every server. The right level depends on how many requests the system can process at once and how quickly it finishes them.

What matters most is the pattern. A queue that keeps building is a problem, even if the number looks small at first.

Common causes of a growing queue include:

• Too many requests arriving at the same time
• Slow application code
• Long database queries
• High CPU or memory pressure
• Too few worker processes or threads

Queue length is especially useful because it shows pressure early. CPU may not be fully maxed out yet, but the line of waiting requests already tells you the system is struggling.

Queue length answers one key question:

Are requests being handled right away, or are they stacking up and forcing users to wait?

13. Swap usage (memory overflow)

Swap usage shows when your server starts using disk space instead of RAM to store active data.

This happens when the server runs out of available memory. Instead of failing immediately, the system moves some data from RAM to disk to free up space. This fallback is called swap.

The problem is that the disk is much slower than RAM. Once the server starts relying on swap, performance drops sharply.

Think of RAM as your workspace, and the disk as storage in another room. If you have to leave your desk every time you need something, your work slows down fast.

As a general benchmark:

• 0% swap usage under load means memory is healthy.
• Any swap usage during normal operation is a warning sign.
• Growing swap usage means the server is running out of memory.
• Heavy swap activity leads to severe slowdowns and instability.

Unlike other metrics, swap is not something you want to “optimize.” The goal is to avoid using it during active workloads.

Common causes of swap usage include:

• Not enough RAM for current traffic
• Memory leaks in applications
• Too many processes running at once
• Sudden spikes in usage without enough headroom

Swap usage is especially important because it signals a deeper problem. The server is no longer operating within its intended limits and is compensating in a way that hurts performance.

Swap usage answers one key question:

Is your server running out of fast memory and falling back to a much slower alternative?

Why monitor server metrics

You should monitor server metrics to see how your server is performing, so small issues don’t turn into user-facing problems.

A server rarely fails without warning. The signals appear first in the metrics. If you track them, you can act early rather than react after users are affected.

Here is what monitoring helps you do in practice:

• Detect problems early. Spot rising CPU, growing queues, or increasing error rates before they turn into outages.
• Fix issues faster. Identify whether the problem comes from CPU, memory, disk, or network instead of guessing.
• Reduce downtime. Catch warning signs like high load or swap usage before the server crashes.
• Improve user experience. Keep response times low so pages load fast, and actions feel smooth.
• Understand real performance. See how your server behaves during normal use and traffic spikes.
• Plan capacity with data. Know when to upgrade resources or optimize instead of reacting too late.

If your website performance slows down during a traffic spike, metrics can show whether the issue is due to CPU limits, slow database queries, or requests piling up. Without that visibility, you are troubleshooting in the dark.

Monitoring shifts your approach from reactive to proactive. Instead of waiting for complaints, you see issues forming and fix them early.

How to monitor server performance

You monitor server performance by collecting metrics automatically, checking them in one place, and using simple tools to investigate issues when they appear.

The process has three parts: collect data, watch it over time, and act when something changes.

Use a monitoring tool to collect data

You need a tool that tracks your server all the time.

In practice, this means using:

• A hosting dashboard (if your provider includes one)
• A monitoring platform like Grafana, Datadog, or New Relic
• An open-source setup, such as Prometheus with Grafana

These tools collect key metrics such as CPU, memory, disk, and response time, store that data over time, and display it as graphs so you can clearly see trends and changes in performance.

Without this, you only see what is happening right now. With it, you see how performance changes over hours, days, and traffic spikes.

Set up a simple dashboard

Once data is collected, you need to be able to see it clearly.

Start with one dashboard that shows:

• CPU usage and load
• Memory and swap
• Disk performance and latency
• Response time and error rates
• Request rate and queue length

Putting these together helps you connect cause and effect.

For example, if response time increases and queue length grows, your server is falling behind. If CPU is also high, you know where the pressure is coming from.

Add alerts

You should not have to check dashboards all day. Alerts tell you when something needs attention.

Set alerts based on real thresholds:

• CPU above 80–85% for several minutes
• Memory close to full or swap in use
• Response time above normal levels
• Error rate increasing
• Queue length growing

Use command-line tools for quick checks

When something is already slow or broken, you can check the server directly.

These are simple commands you run on the server:

• htop → see CPU, memory, and running processes live
• free -m → check available memory and swap
• df -h → check disk space
• iostat → check disk performance and delays
• ss or netstat → inspect network connections.

Check logs to find the cause

Metrics show that something is wrong. Logs show why.

Look at:

• Application logs for errors
• Web server logs for failed requests
• System logs for crashes or resource issues

Look for patterns, not just current values

One spike does not matter. Patterns do.

Pay attention to:

• Memory slowly increasing over time
• Slower response times during peak hours
• Repeated error spikes after deployments

This helps you fix issues before they turn into outages.

Keep it simple and usable

Start small:

• One monitoring tool
• One clear dashboard
• A few meaningful alerts

You can expand later, but a simple setup you actually use is far more effective than a complex one you ignore.

All of the tutorial content on this website is subject to

Hostinger’s rigorous editorial standards and values.

The author

Ksenija Drobac Ristovic

Ksenija is a digital marketing enthusiast with extensive expertise in content creation and website optimization. Specializing in WordPress, she enjoys writing about the platform’s nuances, from design to functionality, and sharing her insights with others. When she’s not perfecting her trade, you’ll find her on the local basketball court or at home enjoying a crime story. Follow her on LinkedIn.

The post What are server performance metrics? How server performance metrics work appeared first on WEBNET Hosting.

Email encryption protects email messages by turning readable content into encoded ciphertext that only an authorized recipient can decrypt.

It helps keep secure email communication private while messages are sent, received, and stored, which matters when emails contain passwords, personal data, financial records, contracts, or internal business information.

Without email encryption, a message can be exposed at multiple points along the way. Attackers may intercept traffic, access stored emails, or use weakly protected communication to support phishing, spoofing, and data breach attempts.

Encryption does not solve every email threat on its own, but it does protect the message content itself from unauthorized access.

That protection works through cryptographic keys. One system encrypts the message, and the right key on the recipient’s side decrypts it back into readable text.

An encrypted email follows a simple path: the sender writes the message, the system encrypts it before or during delivery, it travels as unreadable data, and the recipient uses the correct key to open it.

What is email encryption?

Email encryption is the process of protecting email messages using cryptography so that only the intended recipient can read them. It turns readable content into coded data that cannot be understood without the correct key.

At a basic level, encryption converts your message from plain text to ciphertext, making it look like random characters.

Emails travel across multiple servers before reaching the recipient. Without encryption, every step along that path is a potential point at which someone could intercept and read the message.

Encryption protects three core aspects of email communication:

• Confidentiality – Only the intended recipient can read the message.
• Integrity – The message cannot be altered without detection.
• Authentication – The recipient can verify who actually sent the message.

This directly prevents common attacks such as:

• Network interception (e.g., someone monitoring public Wi-Fi).
• Man-in-the-middle attacks (where an attacker tries to read or alter messages in transit).
• Unauthorized access to email servers or backups.

Encryption also plays a central role in meeting regulatory requirements. Laws like GDPR (data protection in the EU), HIPAA (health data in the US), and financial data regulations all require sensitive information to be protected in transit.

Sending unencrypted emails with personal, medical, or financial data can lead to fines and legal exposure.

How does email encryption work?

Email encryption works by turning a readable message into protected data that only the right recipient can unlock.

The basic flow is simple: you write an email, an encryption system scrambles it using a cryptographic key, and the recipient’s system uses the right key to turn it back into readable text.

The easiest way to understand this is to think of a normal email as a letter in a clear envelope. Anyone who gets hold of it can read it. An encrypted email is the same letter placed inside a locked container.

The message still moves through email servers and networks, but people who intercept it cannot make sense of what they see.

At the center of this process are two things: encryption algorithms and cryptographic keys.

An encryption algorithm is the mathematical method that scrambles the message. A cryptographic key is the secret value that tells the system how to lock or unlock that message.

1. Generate cryptographic keys

Email encryption starts with cryptographic key generation. This is the step where a user or system creates a matched pair of keys: one public key and one private key.

The public key is the one you share. Other people use it to encrypt messages meant for you.

The private key is the one you keep secret. It is used to decrypt those messages when they arrive. Private keys are usually protected with strong passwords, secure storage, hardware security modules, or managed key systems inside business email platforms.

A simple way to picture this is to think of the public key as an open padlock and the private key as the only key that can open it.

You can hand the padlock to anyone who wants to send you something securely. They can lock the box, but they cannot unlock it afterward. Only you can do that because only you have the private key.

This is what makes public key encryption practical for email. You do not need to agree on a shared secret with every person before they contact you. Instead, your system creates the key pair once, publishes the public key, and protects the private key on your side.

Key generation is handled by cryptographic algorithms. These algorithms create keys using carefully designed mathematical processes that make them hard to guess or break.

The strength of encrypted email depends heavily on this step. If the key pair is weak, the protection is weak as well. If the key pair is generated securely and stored properly, the whole system is much harder to attack.

In most real-world setups, users do not generate keys by hand. The email platform, security tool, or IT team does it automatically.

For example, a secure email service might create a key pair when an employee account is set up. The system then stores the private key securely and makes the public key available so others can send encrypted messages to that employee.

2. Encrypt the email message

Encryption happens before the message is sent, so the content is protected before it starts moving across the internet.

In a secure setup, your email client or encryption tool takes the message you wrote and converts it from readable text into encrypted data.

That means the email leaves your device in a protected form rather than as plain text. If someone intercepts it on the way, they do not see the original message. They see scrambled data that is useless without the right key.

The sender’s system does this by using the recipient’s public key. That public key tells the encryption software how to lock the message in a way that only the recipient’s private key can unlock.

This is the key point: the sender can encrypt the message for the recipient, but the sender does not need the recipient’s private key and never gets access to it.

Imagine you are sending payroll details to your finance manager. Before the email leaves your inbox, the encryption tool uses the finance manager’s public key to protect the message.

The email then travels through mail servers as unreadable ciphertext. When it reaches the finance manager, their private key is used to turn it back into readable text.

This encryption step usually covers the message body, and in many systems it also covers attachments. That matters because attachments often contain the most sensitive data, such as contracts, medical records, invoices, or customer files.

Some platforms also encrypt parts of the metadata, but not all metadata is always protected. Metadata includes things like the sender, recipient, subject line, time sent, and routing information.

In many standard email systems, the message content and attachments can be encrypted, while some metadata still remains visible because mail servers need it to deliver the email.

Behind the scenes, many systems use a mixed approach called hybrid encryption. The email client generates a one-time session key to quickly encrypt the message content, then encrypts that session key with the recipient’s public key.

This makes the process faster and more practical for large messages and attachments while still keeping the exchange secure.

3. Transmit the encrypted message

After the email is encrypted, it is sent through the normal email delivery path. It still moves from the sender’s system to one or more email servers, then on to the recipient’s mail server, and finally to the recipient’s email client.

The difference is that the message is now traveling as protected data rather than readable text.

Emails pass through several systems along the way. In a plain-text setup, anyone who gains access to one of those points can read the message. In an encrypted setup, those same systems can still route the email, but they cannot read the protected contents.

You can think of it like shipping a sealed safe through a chain of warehouses. The warehouses still handle the package and move it to the right place, but they cannot open it and inspect what is inside.

In many email systems, the connections between mail servers are also protected with TLS (Transport Layer Security). TLS encrypts the connection itself. That means the link between servers is protected while the message is being transferred.

This helps stop eavesdropping during transit, especially on untrusted networks.

That said, TLS and message encryption solve different problems.

• TLS protects the connection between systems while the email is moving.
• Message encryption protects the content of the email itself.
• End-to-end encryption keeps the message unreadable even if a server or transfer point is exposed.

If an email relies only on TLS, the message may be protected while it is traveling between servers, but it can still be readable on a server at one end of that connection.

If the email itself is encrypted, the content stays protected beyond the connection layer. Even if someone intercepts the stored message or captures it during delivery, they still cannot read it without the right decryption key.

Imagine you send a file with employee salary data. TLS protects that file while it moves between your mail server and the recipient’s server. But if an attacker gets access to a mailbox, backup system, or copied message on the way, TLS alone does not help anymore.

Message encryption still does, because the file remains scrambled and unreadable.

This is why interception does not automatically lead to exposure. Attackers might capture the message, copy it, or store it, but what they get is ciphertext, not useful information. Without the private key or another approved way to decrypt the message, the contents stay locked.

4. Decrypt the email message

When the encrypted email reaches the recipient, the recipient uses the private key to unlock it. This is the step that turns the protected data back into a readable message.

Imagine someone sends you an encrypted email with a signed contract attached. During transit, the email looks like unreadable code to anyone else. When it arrives in your inbox, your email system uses your private key to decrypt it, and only then do you see the normal message and file.

In most modern setups, this decryption happens automatically after you authenticate yourself. That usually means you sign in to your email account, unlock your device, enter a password, or complete multi-factor authentication.

Once the system confirms that you are the authorized user, your email client or connected security tool can access the private key and decrypt the message for you.

That is why encrypted email often feels seamless to the end user. You open the message, and the email client handles the technical work in the background.

You do not need to manually decrypt each email line by line. The software checks your credentials, uses the stored private key or secure key service, and displays the content in a readable form.

This workflow usually looks like this:

• The encrypted message arrives in your inbox
• Your email client verifies your identity through login or another security check
• The system accesses your private key in a secure way
• The message is decrypted locally or through a trusted secure service
• You read the original email content and attachments in normal form

The key point is that the message stays unreadable until that last step. So even if someone copies the message before you open it, they still cannot read it without your private key.

Private key protection matters just as much here as it did during setup. If your private key is stored insecurely, an attacker who steals it could potentially decrypt your messages.

That is why secure email systems protect private keys with passwords, device-level security, encrypted key storage, or dedicated key management tools.

Types of email encryption

The main types of email encryption are Transport Layer Security (TLS), end-to-end encryption (E2EE), S/MIME, and PGP. Each one protects email in a different way, depending on where and how the message is secured.

Transport layer security (TLS) email encryption

TLS email encryption protects the connection between email servers while a message is being delivered.

It creates a secure channel between systems, so the email is harder to intercept while it travels across the network.

A simple way to think about TLS is to picture a protected tunnel between one mail server and another. Your email enters that tunnel on the sending side, moves through it in encrypted form, and exits on the receiving side. Anyone trying to watch the traffic in the middle sees protected data instead of readable text.

Email usually passes through several systems on the way. Without TLS, a message sent across a network could be exposed to anyone monitoring that traffic, especially on insecure or poorly protected connections.

TLS protects:

• The connection between sending and receiving mail servers
• The message, while it is moving across networks
• The data against passive interception during transfer

That is why TLS is described as protection in transit. It secures the path the email takes from one server to another.

TLS is widely used by email providers because it improves security without requiring major changes for users. In most cases, it works automatically in the background.

The sender writes the email as usual, the mail servers negotiate a secure connection, and the message is transmitted through that encrypted channel. There is no extra step for users, which makes TLS easy to deploy at scale.

Still, TLS has a clear limit: it protects the connection, not the message, at every stage. Once the email reaches a mail server, it may be stored there in readable form unless another layer of encryption is also used. So TLS is important, but it is not the same as end-to-end encryption.

S/MIME email encryption

S/MIME (Secure/Multipurpose Internet Mail Extensions) encrypts and signs email messages using digital certificates.

The core of S/MIME is the digital certificate. A digital certificate is an electronic credential that links a person or organization to a cryptographic key. In an email system, that certificate is used to confirm identity and support secure message exchange.

Here is the basic idea:

• The sender uses the recipient’s certificate to encrypt the email
• The recipient uses their private key to decrypt it
• The sender also signs the message with their own private key
• The recipient uses the sender’s certificate to verify the signature

This gives S/MIME two jobs at once. It protects confidentiality through encryption, and it supports authentication and integrity through digital signing.

Certificate authorities (CAs) are trusted organizations that issue digital certificates. Their role is to verify that the person or organization requesting a certificate is who they claim to be. Once that check is complete, the CA issues a certificate that others can trust.

A certificate authority is like a trusted passport office for digital identity. It checks the applicant, issues the credential, and gives other systems a reason to trust that credential.

Without that trust layer, anyone could pretend to be someone else by creating their own certificate and claiming a false identity.

This trust model is what makes S/MIME useful in business environments. When you receive a signed S/MIME email, your email client can check the sender’s certificate, confirm that it was issued by a trusted authority, and verify that the message has not been altered.

That is how S/MIME supports message integrity and authentication:

• Authentication helps confirm who sent the email.
• Integrity shows whether the message was changed after it was signed.
• Confidentiality keeps the message private when encryption is used.

For users, this happens in the background. The email client checks the signature, validates the certificate, and shows whether the message is trusted. If something is wrong, such as an invalid

Pretty Good Privacy email encryption

Pretty Good Privacy (PGP) uses public-key cryptography to provide end-to-end email encryption.

PGP works with two keys: a public key and a private key. The public key is shared with other people so they can encrypt messages for you. The private key stays secret and is used to decrypt those messages when they arrive.

If someone wants to send you an encrypted email with PGP, they use your public key to lock the message. Once the email is sent, only your private key can unlock it.

That is what makes PGP an end-to-end system. The message is protected from the moment it is encrypted until the intended recipient opens it.

PGP also allows users to exchange public keys directly. That exchange is an important part of the system because you need the recipient’s public key to encrypt a message for them.

In practice, people share public keys through key servers, email contacts, company directories, or direct exchange. Since the public key is meant to be shared, giving it to others does not weaken security.

This direct key exchange gives users more control, but it also adds responsibility. You need to make sure the public key you received really belongs to the person you think it does. Otherwise, you could encrypt a message with the wrong key.

That is why many PGP users verify keys through fingerprints, trusted directories, or direct confirmation.

Digital signatures are a key part of PGP as well. The sender can sign the message with their private key, and the recipient can verify that signature with the sender’s public key. This helps prove the message came from the expected sender and was not altered after it was sent.

PGP is widely known for strong privacy protection, especially for users who want direct control over encryption. It is common in technical, security-focused, and privacy-focused environments.

End-to-end email encryption

End-to-end encryption (E2EE) protects an email so only the sender and the intended recipient can read it.

The process starts on the sender’s device. When you write the email and hit send, the email app or encryption tool encrypts the message before it leaves your system.

The message then travels across the internet in encrypted form. It is only decrypted on the recipient’s device after the recipient is authenticated and the correct private key is available.

It flows like this:

• You write the email on your device.
• Your email tool uses the recipient’s public key to encrypt the message.
• The encrypted message is sent through the normal email path.
• The recipient’s device uses the matching private key to decrypt it.
• Only then does the message become readable.

In a proper end-to-end setup, this protection covers both the email body and the attachments.

Metadata is a separate issue. The message content and attachments can be encrypted end-to-end, while some delivery details, such as sender, recipient, and time sent, may still remain visible because the email system needs them to route the message.

Benefits of email encryption

Email encryption protects sensitive information by making your messages unreadable to anyone except the intended recipient.

This translates into the following benefits:

• Keeping sensitive data private – Protects customer records, contracts, financial details, and login information from unauthorized access.
• Reducing the impact of breaches – Even if an attacker gets the email, they cannot read or use the contents.
• Building trust with customers and partners – People are more willing to share confidential information when they know it is protected.
• Supporting everyday business communication – Enables safe sharing of contracts, invoices, HR data, and internal plans over email.
• Helping meet compliance requirements – Protects regulated data under laws like GDPR, HIPAA, and financial data rules.
• Reducing compliance risk in daily workflows – Makes routine actions like sending tax files or employee records safer.
• Strengthening your overall security setup – Adds a layer of protection alongside MFA, access controls, and phishing defenses.
• Protecting data even if other controls fail – Encrypted messages remain unreadable even when accounts or systems are compromised

Real-world use cases of email encryption

Organizations use email encryption when the message contains information that would cause harm if the wrong person read it. That includes personal data, financial records, legal documents, internal business plans, and private conversations between staff and clients.

In healthcare, email encryption is used to protect patient information. A clinic might send lab results, treatment updates, referral notes, or billing details to another provider or to a patient. Without encryption, that message could expose medical history, insurance data, or personal identifiers.

In finance, encryption is often used for account documents, tax files, payment instructions, audit materials, and internal reporting. For example, an accounting firm may email a client’s tax summary, or a bank may send secure account documents.

These messages often contain account numbers, income details, transaction histories, or identity data. If that information is exposed, the damage can be immediate. Encryption reduces that risk by making the email unreadable to anyone without permission.

Government organizations use email encryption to protect citizen data, internal communications, policy documents, and case-related information. A local authority might send records about benefits, licensing, education, or public services.

A national agency may need to protect internal discussions, investigative material, or personal records. In both cases, email moves across large systems with many users involved. Encryption helps limit exposure and keeps sensitive data from being casually read or copied.

Legal services rely on email encryption because legal work is built around confidentiality. Law firms and in-house legal teams send contracts, case strategy notes, evidence files, settlement discussions, and client correspondence.

Much of that information is highly sensitive, time-critical, and legally protected. If an opposing party, attacker, or unauthorized employee reads it, contracts, strategy, or evidence can be exposed. Encryption helps preserve attorney-client confidentiality and keeps legal communication more secure.

Beyond regulated industries, businesses use email encryption every day to protect customer data, contracts, and internal communication.

Customer data is one of the clearest examples. A company may need to send onboarding forms, invoices, support records, or account updates. Even when the message seems routine, it can still include names, addresses, phone numbers, account references, or service history.

Encryption helps protect that information and shows customers that the business takes privacy seriously.

Contracts are another major use case. Businesses regularly email draft agreements, signed documents, amendments, and negotiation comments.

These files often contain pricing, liability terms, intellectual property clauses, and other confidential details. Encrypting those emails helps prevent accidental exposure during negotiation or approval.

Internal communication is just as important. Not every sensitive email goes outside the company. Teams also use encryption for board discussions, incident reports, restructuring plans, disciplinary matters, security issues, and product roadmaps.

How can I secure my email?

You can secure your email by combining encryption, strong authentication, and safe user behavior. One layer is not enough. You need to protect both the message and the account.

Follow these steps:

• Step 1: Secure your account – Use a strong, unique password and turn on multi-factor authentication (MFA). Even if your password is stolen, MFA can block access.
• Step 2: Encrypt sensitive emails – Do not send contracts, financial data, identity documents, or internal plans as plain text. Use encryption whenever exposure would cause harm.
• Step 3: Check links and attachments – Do not open files or click links without verifying the sender. Watch for urgent requests, unknown senders, or unexpected file types.
• Step 4: Control access – Limit who can access sensitive inboxes and data. Use role-based permissions and avoid sharing accounts.
• Step 5: Keep systems updated – Update your email apps, browser, and devices regularly. Many attacks rely on known, unpatched vulnerabilities.
• Step 6: Learn to spot threats – Watch for phishing emails, fake login pages, and unusual requests (like sudden payment changes or password resets).

Each step strengthens your email security. Encryption protects the message, authentication protects access, and awareness helps you avoid mistakes.

If you want a simpler setup, use an email service that already includes these protections. For example, business email platforms like Hostinger include built-in encryption, spam and phishing filters, secure access controls, and reliable uptime, so you don’t have to configure everything manually.

All of the tutorial content on this website is subject to

Hostinger’s rigorous editorial standards and values.

The author

Ksenija Drobac Ristovic

Ksenija is a digital marketing enthusiast with extensive expertise in content creation and website optimization. Specializing in WordPress, she enjoys writing about the platform’s nuances, from design to functionality, and sharing her insights with others. When she’s not perfecting her trade, you’ll find her on the local basketball court or at home enjoying a crime story. Follow her on LinkedIn.

The post What is email encryption and how does it secure your messages? appeared first on WEBNET Hosting.

When that happens, you need a reliable way to detect and fix those inconsistencies before they cause data loss or system instability. This is where fsck (File System Consistency Check) comes in.

In this article, we’ll cover everything you need to know about fsck from basic usage to running it safely on root and production partitions.

What is fsck in Linux?

fsck is a built-in Linux utility used to check and repair filesystem inconsistencies. It works similarly to chkdsk on Windows. The tool can be run automatically during system boot or manually by the system administrator.

Depending on the filesystem type (ext2, ext3, ext4, xfs, etc.), fsck calls the appropriate backend checker, for example, e2fsck for ext-family filesystems.

When Should You Run fsck?

Here are the most common scenarios where running fsck is necessary or recommended:

• The system fails to boot or drops into emergency/rescue mode.
• You see Input/Output errors when reading or writing files.
• A drive (HDD, SSD, USB flash drive, or SD card) isn’t working as expected.
• After an unclean shutdown – power loss, kernel panic, or forceful reboot.
• Routine maintenance – periodic integrity checks on critical servers.
• Filesystem reports corruption in kernel logs (dmesg output).

Production Tip: Always check /var/log/syslog or run dmesg | grep -i error before scheduling an fsck, which helps you understand the scope of the problem before diving in.

fsck Command Syntax:

fsck [options] [filesystem]

fsck must be run with superuser (root) privileges, and here are the most important options:

How to Check Which Filesystem Type You Have

Before running fsck, confirm the filesystem type of your partition:

lsblk -f
Or
blkid /dev/sdb1

This is important because fsck delegates to type-specific tools like e2fsck (ext4), fsck.xfs, fsck.vfat, etc.

Important: Never Run fsck on a Mounted Partition

Running fsck on a mounted partition can cause severe data corruption, so always unmount the partition first.

To check if a partition is mounted:

mount | grep /dev/sdb

If it’s mounted, unmount it:

umount /dev/sdb1

If the device is busy, find what’s using it using lsof command:

lsof /dev/sdb1

Then try a lazy unmount:

umount -l /dev/sdb1

Running fsck to Check and Repair a Partition

To perform a basic filesystem check, run the following command, which will check and prompt you interactively to fix each error it finds.

fsck /dev/sdb1

For production servers where you want to automate repairs, use the -y flag.

fsck -y /dev/sdb1

To see what fsck would do without touching anything:

fsck -N /dev/sdb1

Production Tip: Always do a dry run first on critical systems before committing to repairs. Review the output, then decide if you want to proceed.

If the filesystem was marked as clean, but you still suspect issues:

fsck -f /dev/sdb1

To check a specific filesystem type:

fsck -t ext4 /dev/sdb1

To check all filesystems (excluding root), use the -A flag that reads entries from /etc/fstab, and -R skips the root filesystem.

fsck -AR -y

You can also use the following command to verbose output with a progress bar:

fsck -C -V /dev/sdb1

This is useful for large drives where you want to monitor progress.

Understanding fsck Exit Codes

After running fsck, it returns an exit code that tells you what happened. You can check it with echo $? right after running the command.

0    - No errors detected
1    - Filesystem errors were corrected
2    - System should be rebooted
4    - Filesystem errors left uncorrected
8    - Operational error
16   - Usage or syntax error
32   - Checking was canceled by user request
128  - Shared library error

Exit codes can be combined (added together). For example, an exit code of 3 means errors were corrected (1) and a reboot is required (2).

Production Tip: In scripts and cron jobs, always capture and evaluate the fsck exit code to trigger alerts or automatic reboots when needed.

fsck -y /dev/sdb1
EXIT_CODE=$?

if [ $EXIT_CODE -ge 4 ]; then
    echo "ALERT: Filesystem errors could not be corrected on /dev/sdb1" | mail -s "fsck Alert" [email protected]
fi

How to Run fsck on the Root Partition (/)

You cannot run fsck on a mounted root partition, but the following are three reliable methods to handle it.

Method 1: Force fsck on Next Boot

The simplest approach is to create a forcefsck flag file in the root:

touch /forcefsck

Then schedule a reboot:

reboot

During the next boot, the system will automatically run fsck on the root filesystem before mounting it. After the system comes back up, verify and remove the flag file to avoid triggering fsck on every boot:

ls /forcefsck
rm /forcefsck

Note: On systemd-based systems (RHEL 7+, Ubuntu 16.04+), the forcefsck method may not work. Use the method below instead.

Method 2: Force fsck via tune2fs (ext4)

For ext4 filesystems, you can force an fsck on the next reboot using tune2fs, which will sets the mount count to 1, which triggers fsck at next boot. After the check, the mount count resets automatically.

tune2fs -C 1 /dev/sda1

You can also set a maximum mount count after which fsck is forced automatically:

tune2fs -c 30 /dev/sda1

Method 3: Run fsck in Rescue/Recovery Mode

This method gives you full manual control and is recommended for serious corruption cases.

• Step 1: Reboot the system and during boot, hold the Shift key to bring up the GRUB menu.
• Step 2: Select “Advanced options” from the GRUB menu.
• Step 3: Choose “Recovery mode” for your kernel version.
• Step 4: In the recovery menu, select “fsck“.
• Step 5: When prompted to remount the root filesystem, select “Yes“.
• Step 6: Once fsck completes, select “Resume” to continue normal boot.

How to Run fsck on LVM and Software RAID Volumes

For LVM logical volumes, first identify the volume:

lvdisplay

Deactivate it before running fsck:

lvchange -an /dev/vg_data/lv_data
fsck -y /dev/vg_data/lv_data
lvchange -ay /dev/vg_data/lv_data

For a RAID member, check the underlying block device:

fsck -y /dev/md0

Production Warning: Be extra cautious with RAID arrays. Ensure the array is in a healthy state (cat /proc/mdstat) before running fsck. A degraded array should be rebuilt first.

How to Schedule Regular fsck Checks

On production servers, it’s good practice to schedule periodic fsck runs rather than waiting for problems to occur.

Using tune2fs for Automatic Checks (ext4)

Set a time-based check interval (e.g., every 6 months):

tune2fs -i 6m /dev/sda1

Set a mount-count-based check (e.g., every 30 mounts):

tune2fs -c 30 /dev/sda1

Verify the settings:

tune2fs -l /dev/sda1 | grep -i "mount count|check interval"

View Filesystem Health Summary

tune2fs -l /dev/sda1 | grep -E "Filesystem state|Last checked|Mount count|Maximum mount"

Checking fsck Logs

After fsck runs (either at boot or manually), you can review what it did:

# On RHEL/CentOS/Rocky Linux
grep -i fsck /var/log/messages

# On Ubuntu/Debian
grep -i fsck /var/log/syslog

# Systemd journal
journalctl -b | grep -i fsck

Quick Reference: fsck Command Examples

# Check a partition interactively
fsck /dev/sdb1

# Auto-repair all errors
fsck -y /dev/sdb1

# Dry run (no changes)
fsck -N /dev/sdb1

# Force check even if filesystem looks clean
fsck -f /dev/sdb1

# Check all filesystems except root
fsck -AR -y

# Verbose check with progress bar
fsck -C -V /dev/sdb1

# Check only ext4 filesystems
fsck -t ext4 -A -y

Conclusion

fsck is one of the most critical tools in a Linux sysadmin’s toolkit. Whether you’re dealing with a corrupted partition after a power outage, running routine integrity checks on a production server, or troubleshooting a system that won’t boot – knowing how to use fsck correctly can save you from serious data loss and unplanned downtime.

The key rules to remember:

• Never run fsck on a mounted partition.
• Always do a dry run (-N) first on critical systems.
• Capture exit codes in scripts to automate alerts and reboots.
• Schedule periodic checks using tune2fs on important filesystems.

If you have any questions about using fsck or ran into a specific error, feel free to share it in the comments below.

The post How to Use fsck to Check and Repair Linux Filesystem Errors appeared first on WEBNET Hosting.

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First of all, thank you for your support and your donation! And many thanks to all the people involved in helping Linux Mint.

Here’s a preview of what we worked on recently, and which will be featured in the next release.

Sensors

A page dedicated to sensors was added to the System Reports tool.

This page lists all the sensors detected on the computer and refreshes their value automatically.

This is typically used to keep an eye on fan speed and temperatures. It can be useful to troubleshoot power modes, battery lifetime, etc.

The list of sensors depends on the manufacturer. Some computers don’t show a lot of information, some do.

Cinnamon Screensaver and Wayland

The new Cinnamon screensaver is ready, and there’s a lot of good news coming along with it!

Until now Cinnamon had a dedicated screensaver program called “cinnamon-screensaver”, which ran alongside it as a separate process within the session. This screensaver was written in Python and in C, it used the GTK toolkit, and it was designed for Xorg.

It looked nice and it worked pretty well but it had issues:

• It didn’t work in Wayland
• The transition between the desktop and the screensaver was not smooth
• Despite a modern codebase, it was complex in terms of design, mainly because it inherited features from the GNOME 2 era, which are largely unnecessary nowadays

The new screensaver isn’t a separate process. It’s Cinnamon itself handling things directly, locking the screen natively with its own toolkit and widgets.

Here’s another screenshot of it, with some of the UI improvements Joseph is working on.

The first thing you’ll notice is the native look and the smooth animation.

The biggest gain of course is the full compatibility with Wayland. Whether or not we want to default to Wayland in the future is a different topic, but we certainly want to have the option on the table. With this new screensaver, the next Cinnamon release will be Wayland compatible.

Screensavers are very important. They need to look good, they need to work well, and they cannot under any circumstance fail to protect the user’s privacy. If the screensaver was to crash, the session still needs to be locked. There’s an extra process dedicated to hiding the screen when that happens. It worked well with cinnamon-screensaver but it took a lot of testing to make sure it did. It works well with the new screensaver also, but it will take time to make sure it’s tested properly both in Xorg and in Wayland. For that reason, even though cinnamon-screensaver will eventually be discontinued, the next Cinnamon will be able to work with either the new or the old screensaver.

Now here’s a little anecdote from our development team. Although the native screensaver has a much smoother transition than the old one, we encountered the very same papercut bug we’ve had for decades on the old screensaver: What looked like a random race condition, which results in the session being briefly visible before the screensaver appears on resume or lid-open. We tried and failed to fix this issue for years, and as we worked on the new screensaver we just realized what was causing it. It’s fixed now, not only for the new screensaver, but after extensive testing also as an update to the old one….

.. so what changed? Why couldn’t we fix this before? The answer is complexity. When we’re dealing with something that happens all the time, even when we don’t understand why it happens, we can change things and see if it continues to happen. This makes it easy to find the cause, and once we’ve a solution, to make sure the solution works. When the bug is random and only happens “sometimes” we’ve no reliable way or finding the cause or testing the solution. This was a random bug in a scenario which involved:

• The window-manager
• The screensaver
• Xorg
• Logind

It could happen on suspend or hibernation. It could also happen as the result of a timeout, which could lock the screen, or not, or a lid-close event. We handle about 6 different overlapping timers for maybe 4 different ways of turning off the screen, starting the screensaver, locking it, suspending… it’s a huge mess. I didn’t try to calculate how many different scenarios are at play here, but there are way more than just “dozens” 🙂

While I was testing the new screensaver I came across the issue again. This time the window-manager and the screensaver were one and the same, so 3 components instead of 4. We weren’t asking Xorg to stack a new window also… and we managed to reproduce the issue with just locking the screen (i.e. with no logind intervention). This really helped pin-point the issue. In the end it had to do with power-saving and asking Xorg to turn off the screen. For some reason this makes Xorg fail to render events, so even though the screen is indeed locked, the frames don’t update on the screen just before it goes off, and it all happens later after the screen turns on again. It’s a rendering bug.

This is a good lesson for us because it shows us how supporting too many niche features and too many use cases can lead to critical bugs which affect everyone for a decade. I couldn’t explain in layman terms what each of the timers do in the Cinnamon screensaver and power preferences, and that’s a problem. We inherited these configuration options from a time when people had no laptops and their desktop monitors were subject to screen burn. Fast forward 10-15 years and we’re dealing with laptops used outside of homes, where “saving” the screen is irrelevant but “locking” it became paramount.

Back in the days, the main features were to animate the screen to prevent screen burn and allow that to happen before turning off the screen because that took time to wake up. Nowadays we’re in a completely different situation, it’s all about locking it and once it’s locked we want to see our battery level, our multimedia controls, we want to be able to access the on-screen keyboard, switch layout, use the fingerprint reader etc.. 

We’ll go one step at a time here. The next Cinnamon release will keep the exact same configuration options, introduce the new screensaver and keep compatibility as a fallback with the older one. The release after that will abandon the old screensaver, review all use cases and simplify how and when the screen gets locked.

Sponsorships:

Linux Mint is proudly sponsored by:

Donations in January:

A total of $37,896 were raised thanks to the generous contributions of 1,296 donors:

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Building a personal finance tool used to require spreadsheets, complex formulas, or hiring a developer. Now, with AI and vibe coding, you can describe what you want in plain language and get a working web app in minutes.

This is especially powerful for finance tools, where logic, tracking, and clear design matter. Instead of struggling with formulas, you can focus on how your tool helps users budget, track expenses, and reach savings goals.

With Hostinger Horizons, you simply explain your idea, refine it in chat, and see a live preview instantly. It acts as your AI developer, designer, and copywriter in one – no coding knowledge needed.

1. Define your audience and core problem. Be specific about whether your tool helps students budget, freelancers track income, or families manage monthly expenses.
2. Outline a simple MVP with income, expenses, and summary dashboard. Starting small helps you launch faster and improve based on real usage.
3. Use Hostinger Horizons to generate the first version via prompt. The AI builds the structure, layout, and core logic for you.
4. Test with real numbers and improve step by step. Iteration is easy with vibe coding – just describe changes in chat.

A clear problem statement makes your tool focused and useful instead of overwhelming.

This tool helps individuals, families, or freelancers do track income and expenses in one place so they can control spending, reduce debt, and grow savings.

For example, you might focus on:

• Monthly budgeting for beginners who don’t understand spreadsheets. This keeps the tool simple and avoids advanced financial jargon.
• Expense tracking for freelancers with irregular income. This requires flexible income input and monthly comparisons.
• Savings goal planning for specific targets like vacations or emergency funds. This makes progress visualization a key feature.

The more specific your use case, the better your AI-generated result will be.

Your MVP (minimum viable product) should be simple but functional.

• Main dashboard screen. This shows total income, total expenses, and remaining balance at a glance so users instantly understand their financial status.
• Income input fields. Users need an easy way to add salary, freelance income, or other earnings to calculate their real budget.
• Expense categories and entry form. Categorizing spending (rent, food, transport) helps users see patterns and control overspending.
• Summary section with totals. Automatic calculations reduce manual errors and make the tool more reliable than spreadsheets.
• Clean, minimal design. Finance tools must feel clear and calm, so users trust the numbers and return regularly.

Step 3: Create a user flow from start to finish

Think about how someone interacts with your tool step by step.

• Landing. Explain what the personal finance tool does and how it helps users manage money more confidently.
• Input. Users add income and expenses through simple forms that are quick to fill out.
• Processing. The tool automatically calculates totals, remaining balance, and category breakdowns in the background.
• Result. Display charts or summaries that clearly show where the money goes each month.
• Next step CTA. Encourage users to set a savings goal or review their spending habits to stay engaged.

Step 4: Generate the first version with Hostinger Horizons

In Hostinger Horizons, type a detailed prompt describing your personal finance web app. Be clear about inputs, calculations, and layout. The AI will instantly generate a working version with a live preview next to the chat.

This is where vibe coding shines – you don’t write formulas or code. You describe what you want, test it, and refine it by chatting with the AI.

If something feels off, simply say: “Make the dashboard simpler” or “Add a savings goal tracker section.” Horizons updates the app automatically. It builds both the front and back ends of the tool with simple prompting.

Generate the first version of a personal finance tool for free.

Step 5: Customize the design and layout

Once the core of your personal finance tool works, improve usability and clarity.

• Use clear color signals. Green for savings and red for overspending helps users instantly interpret results.
• Add simple charts. Visual breakdowns of spending categories make financial insights easier to understand.
• Keep navigation minimal. Too many sections can overwhelm users who just want quick budget insights.
• Adjust text for clarity. In Hostinger Horizons, you can edit content directly in preview mode without using AI credits.

Step 6: Add logic, calculations, or scoring

A personal finance tool relies heavily on accurate calculations. Add multple

• Automatic balance calculation. Subtract total expenses from total income so users always see remaining money instantly.
• Category percentage breakdown. Show what percentage of income goes to each category to highlight spending habits.
• Savings goal progress bar. Calculate how close users are to their target amount to keep them motivated.
• Basic financial health score. You can create a simple scoring system based on savings rate or expense ratio to gamify progress.

Describe these rules in plain language, and Hostinger Horizons will implement the logic for you.

Testing ensures numbers are accurate and trustworthy. Finance tools must be reliable.

Enter different income and expense combinations to confirm totals update correctly. Check edge cases like zero income or very high expenses.

Test on desktop and mobile views to ensure the layout remains readable and clear.

Checklist:

• Do totals update instantly after each entry? This confirms calculations are working properly.
• Are negative balances clearly visible? Users must instantly see when they overspend.
• Is the mobile layout readable? Many users track expenses on their phones.

When ready, click Publish in Hostinger Horizons. You can use a temporary domain or connect your own.

A live web app means users can access their budget tracker from anywhere. You can share it with friends, clients, or your audience.

You can also:

• Embed it on your website. This turns your finance tool into a lead magnet or value-added feature.
• Monetize with ads or premium features. Horizons supports integrations like Stripe if you want to charge for advanced functionality.

Launching is just the beginning.

Collect feedback from real users to understand what features they actually use. Then refine through new prompts.

You can:

• Add user logins to save personal data securely. This allows personalized dashboards for each user.
• Introduce recurring expense tracking. This makes the tool more realistic and practical.
• Improve reports and insights. Over time, deeper analytics increase user retention.

With vibe coding, updates are as simple as describing improvements in chat.

A personal finance tool helps users understand and control their money without spreadsheets or complex software.

It’s ideal for:

• Freelancers managing irregular income. A flexible tracker reduces financial stress.
• Families planning monthly budgets. Shared visibility improves financial decisions.
• Content creators offering value tools. A finance web app can grow traffic and authority.

You’re not just building software — you’re creating a practical solution people use daily.

• Income and expense tracking. This is the foundation of accurate budgeting.
• Category management. Organized spending helps users identify improvement areas.
• Visual dashboards. Charts and summaries make numbers easier to understand.
  Savings goal tracking. Clear progress motivates consistent saving habits.
• Data persistence (optional). With integrations like Supabase, users can save and access their data later.

Use the prompt below in Hostinger Horizons to build a personal finance tool. Simply copy and paste it into the chat to create your first working version instantly. As you build, you can add follow-up prompts to adjust features and refine the layout.

Here’s a simple template you can copy:

Create a personal finance web app.
The app should include:
- A dashboard showing total income, total expenses, and remaining balance.
- A form to add income sources.
- A form to add expenses with categories.
- Automatic calculations for totals and balance.
- A simple, clean design with clear sections.
- A savings goal tracker with progress bar.
Make it mobile-friendly and easy to use for beginners.

Example filled prompt:

Create a personal finance web app for freelancers.
The app should:
- Allow users to enter multiple income sources per month.
- Let users categorize expenses (rent, tools, marketing, food, etc.).
- Automatically calculate monthly profit or loss.
- Show a pie chart of expense categories.
- Include a savings goal tracker for emergency funds.
- Use a minimal, calm design with green and blue tones.
Keep the layout simple and beginner-friendly.

Finance tools require clarity and trust. Avoid these mistakes:

• Making the interface too complex. Too many features in version one can confuse users and reduce adoption.
• Forgetting validation rules. Incorrect inputs can break calculations and reduce trust in your tool.
• Ignoring mobile responsiveness. Many users track expenses on their phones daily.
• Not testing edge cases. Zero income or high expenses must not break the logic.
• Overcomplicating financial scoring. Keep metrics simple and understandable for beginners.

• Use AI chat to generate and refine logic. Describe financial rules in plain language and let the AI implement them.
• Add integrations like Stripe or Supabase. This allows premium features or saved user data without coding.
• Restore previous versions anytime. If a change breaks calculations, you can quickly revert.
• Monitor traffic with built-in analytics. See how users interact with your finance tool and improve accordingly.

All of the tutorial content on this website is subject to

Hostinger’s rigorous editorial standards and values.

The author

Dainius Kavoliunas

Dainius Kavoliunas is the Head of Product for Hostinger Horizons, with a passion for building innovative solutions. As an expert in product management, he combines deep expertise in UX, experimentation, and data analysis with a technical background to lead product strategy and build strong teams. He is particularly excited about the practical applications of AI and its potential to transform how we work and live.
Follow him on LinkedIn.

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Certain product categories consistently trend in dropshipping because they align with how people already shop – solving small daily frustrations, upgrading essentials, or fitting naturally into routines.

Items that feel practical, easy to understand, and simple to demonstrate tend to convert faster than products that require explanation or lifestyle changes.

The most reliable trending products aren’t random viral hits. They’re tied to repeat use, predictable seasonal demand, or ongoing replacement cycles. When you focus on categories backed by clear buying behavior – rather than short-term hype – you create a store that’s easier to market and scale.

Here are 10 trending products for dropshipping and why they continue performing:

1. Health and wellness essentials. Routine-driven fitness and recovery items support repeat use and reorders, making them more stable than one-time impulse products.
2. Sustainable lifestyle products. This category continues growing as buyers replace disposables with reusable alternatives aligned with their values.
3. Smart home devices. Smart bulbs, cameras, and voice assistants sell steadily as connected technology becomes a standard home upgrade.
4. Trend-led fashion accessories. Lightweight accessories move quickly because social platforms accelerate style cycles and discovery.
5. Baby care and safety items. These remain reliable because parents prioritize trust, safety, and convenience year-round.
6. Everyday pet care products. Emotional buying and frequent repeat needs keep this category performing consistently.
7. At-home workout gear. Compact equipment stays in demand because it fits modern schedules and small living spaces.
8. Mobile accessories and add-ons. Steady sales come from constant device upgrades and natural wear-and-tear replacement cycles.
9. Travel and outdoor essentials. Predictable seasonal spikes align with vacations, festivals, and warm-weather activities.
10. Creative DIY kits and supplies. Hobby-driven buyers look for structured projects they can complete successfully, often leading to repeat purchases.

1. Health and wellness products

Health and wellness products sell well because they address ongoing wellness needs rather than one-time purchases. Supplements, massage tools, and therapeutic items support daily health routines that people maintain long-term.

According to Fortune Business Insights, the global home fitness equipment market is projected to grow from $12.88 billion in 2025 to $22.99 billion by 2034.

Recent demand spikes show the strongest growth in recovery and stress-relief products: massage guns, posture correctors, and heating wraps. Quality considerations are critical whenstarting a dropshipping business in this category because buyers use these products daily.

Look for suppliers providing verified ingredient lists for supplements, safety certifications for therapeutic devices, and consistent build quality across batches. Check supplier reviews specifically mentioning product durability and material safety, not just shipping speed.

These are strong starting points for health and wellness products:

• Massage guns with adjustable speed settings. Recovery-focused tools buyers use after workouts or long workdays – designed for relief, not performance.
• Foam rollers for muscle recovery. Low-effort wellness tools that support stretching and soreness relief without requiring a full workout mindset.
• Posture correctors for desk workers. Clear problem-solution fit for daily discomfort from sedentary routines – addresses the pain people feel right now.
• Heating or cooling therapy wraps. Popular for muscle relief and joint comfort without requiring active exercise – fits into rest and recovery naturally.
• Compression sleeves or socks. Wellness accessories buyers use for recovery, circulation, and everyday comfort – especially appealing for travel and long days on your feet.
• Acupressure mats or massage balls. Simple, at-home tools for relaxation and tension relief that work without instruction or motivation.

2. Eco-friendly and sustainable products

According to recent market reports, the global sustainable products market is estimated at about $430 billion in the mid‑2020s and is projected to reach roughly $650 billion by 2029. That growth shows up in how people shop: more buyers actively choose reusable bags over plastic, stainless containers over disposables, bamboo alternatives over single-use items.

What makes this category powerful is that sustainability often becomes the primary reason for buying. When someone picks a reusable silicone bag over cheaper plastic, they’re not just storing food – they’re reducing waste in a way they can see and feel good about.

That emotional component creates a willingness to pay slightly more, improving your margins without the need for constant discounting. Many recent surveys show especially strong demand from Gen Z and Millennial buyers in Western markets, particularly for everyday swaps that don’t require major routine changes.

Durability is the entire value proposition. If a “sustainable” product wears out quickly, buyers feel misled and return it immediately – and that quality failure undermines the environmental claim completely. Long-term use has to back up the sustainability messaging, or the whole appeal collapses.

Consider these products for building your sustainable lineup:

• Reusable silicone food storage bags. Replaces single-use plastic with a multi-year product buyers reuse daily – clear value that’s easy to explain and justify.
• Reusable grocery and tote bags. High-frequency use items where durability becomes the main differentiator – buyers notice quality fast because they use these constantly.
• Bamboo toothbrushes. Simple, low-friction swap that reduces everyday waste without asking buyers to change their morning routine.
• Beeswax food wraps. Easy-to-demonstrate alternative for food storage and lunch prep that photographs well and feels tangibly different from plastic wrap.
• Refillable personal care containers. Fits travel, gym, and sustainability use cases without requiring lifestyle change – just smarter packaging for what people already carry.
• Biodegradable kitchen utensils. Practical upgrade buyers justify when replacing worn-out tools – timing matters here since it’s often a replacement purchase, not a new need.

3. Smart home gadgets

Smart home gadgets sell because connected technology has become part of everyday life, not because it’s trendy. Most buyers aren’t experimenting anymore – they’re adding devices to homes that already use smart lighting, plugs, or security tools.

Smart home adoption continues to expand as connected devices move from novelty to standard household upgrades. For you as a seller, this means you’re not explaining why someone needs smart home tech; you’re helping them choose which devices can solve their issues.

Home gadget products sell best when they solve a clear, immediate problem, such as lighting control, security, or everyday convenience. Buyers want upgrades that feel useful right away. A smart bulb that works in minutes will outsell a whole-home system that takes hours to install and configure.

Many returns happen because the setup is confusing or the compatibility isn’t clear. If a device doesn’t clearly support Alexa or Google Assistant, or requires multiple apps to work, buyers get frustrated fast. Clear instructions, simple app control, and obvious compatibility details protect reviews and margins.

Here are six solid starting items for selling smart home devices:

• Smart LED light bulbs. Often a buyer’s first smart device, with easy upsell potential to more rooms once they see how it works – low barrier to entry, high repeat purchase likelihood.
• Wi-Fi smart plugs. Simple “turn anything smart” solution with immediate visible benefit – plug it in, connect it, control any device remotely in under five minutes.
• Smart speakers with voice assistant support. Central control point for lighting, plugs, and daily routines that buyers can expand around as they add more devices.
• Indoor security cameras. Strong motivation driven by home safety and peace of mind – emotional purchase that justifies premium pricing and fast decision-making.
• Video doorbells. Clear everyday use case that’s easy to explain in one sentence – see who’s at your door from your phone, wherever you are.
• Motion-activated smart lights. Convenience and safety upgrade without complex setup – works automatically once installed, fitting seamlessly into existing routines.

4. Fashion accessories

Fashion accessories move quickly because social media has shortened style cycles from seasons to weeks. A product trending on TikTok today can peak within a month and fade just as fast. That speed creates opportunity, but timing determines whether you ride momentum or enter a saturated market.

Social platforms don’t just shape trends – they control discovery. Industry reports, including those from Global Market Insights and others, show that the fashion accessories market is worth hundreds of billions globally, and that buyers increasingly purchase where they discover products.

That means research and marketing happen in the same place: monitor what gains traction, then sell directly into that audience.

If you don’t want to rely on fast-moving trends, focus on timeless pieces and steady seasonal demand instead. Minimalist jewelry, simple chains, and quality sunglasses hold demand longer than flashy statement items. Sunglasses spike in summer, while jewelry and hair accessories generate steady sales year-round.

Returns usually come down to perceived quality. Accessories must look premium in person, feel solid, and match online photos exactly. When the finish feels cheap or lighter than expected, buyers return it immediately, and reviews drop fast.

Here are fashion accessories to consider for your store:

• Minimalist jewelry. Clean designs work across age groups and outlast short-lived trends – think simple chains, thin rings, small pendants that layer well.
• Interchangeable watch bands. “New look, same watch” upgrades are easy to justify – appealing to people who already own smartwatches or classic timepieces.
• Sunglasses with UV protection. Function plus style, with strong seasonal lift in warmer months – practical purchase that also signals taste and personality.
• Hair clips and styling accessories. Lightweight items that move quickly as trends cycle on social media – low cost means buyers purchase multiple styles at once.
• Compact crossbody bags. Practical daily-use accessory that photographs well in lifestyle content – functions as both fashion item and utility purchase.
• Simple fashion belts. A low-cost way for buyers to refresh outfits without buying new clothing – works as both a functional and a style upgrade.

5. Baby and childcare products

Baby and childcare products remain in steady demand because parents don’t pause buying. Babies grow, routines change, and essentials need constant replacement. Once you earn a parent’s trust with one product, they’re far more likely to return for the next stage rather than shop around.

Online sales continue to grow steadily as parents prioritize convenience and reorder trusted essentials. What sets this niche apart: parents buy deliberately, as safety and reliability matter more to them than price or marketing.

Parents closely inspect materials, age recommendations, and certifications before buying. Once a product earns trust, parents reorder without hesitation, creating customer lifetime value that trend-driven categories can’t match.

Supplier choice is crucial here. Look for manufacturers providing verified safety documentation, consistent materials, and protective packaging. One poorly made product doesn’t just cause a return; it poisons trust in your entire store. Parents talk to other parents, and word spreads fast.

Here are baby products you can start selling in your shop:

• Silicone feeding sets. Parents prioritize easy cleaning and clear material safety details – BPA-free, dishwasher-safe, and durable enough for daily use.
• Non-toxic teething toys. Certification and material transparency drive purchase confidence here more than design or color – parents want proof, not promises.
• Baby-proofing corner guards. An evergreen need as babies start crawling, buyers often purchase multiples once they see how many sharp corners exist in their home.
• Safety locks for drawers and cabinets. Problem-solver parents purchase in sets, not one-offs – once they commit to childproofing, they buy comprehensively.
• Stroller organizers. Convenience upgrade for parents managing daily outings – keeps bottles, snacks, and essentials accessible during walks and errands.
• Soft sensory toys. Popular for early development and gifting, especially for newborns – combine safety with engagement in ways parents appreciate and relatives buy as presents.

6. Pet supplies

Pet supplies perform well because they combine emotional buying with built-in repeat demand. Once something becomes part of a pet’s daily routine – food mats, grooming tools, slow feeders – owners reorder automatically. Unlike novelty items, practical products generate steady revenue over time.

Industry analyses suggest that global online pet care sales are already in the tens of billions of dollars annually and continue to grow, driven more by quality and care than by price alone.

Owners pay for comfort, safety, and peace of mind. Products that solve one clear problem– shedding on furniture, dogs eating too fast, long walks without water – earn trust quickly and justify higher prices.

Quality determines whether customers return. A toy that tears or a loose harness destroys confidence immediately. Durable products that hold up over months build loyalty, and that long-term trust matters more than being the cheapest option.

The following items are strong starting points when it comes to selling pet supplies:

• Deshedding grooming brushes. Addresses a daily pain point pet owners actively search for – reduces fur on furniture and clothes, with visible results after first use.
• Interactive pet toys. Strong emotional appeal that drives impulse buys and reorders – keeps pets entertained, which reduces boredom and destructive behavior owners want to avoid.
• Slow-feeder bowls. Clear health benefit that’s easy to understand and explain – prevents bloating and vomiting in dogs who eat too quickly, solving a problem many owners experience.
• Portable pet water bottles. Obvious use case for walks, parks, and travel – compact design makes it easy to carry and use on the go.
• Adjustable pet harnesses. Safety-driven purchase where fit and comfort matter more than aesthetics – reduces pulling and protects pets during walks.
• Pet car seat covers. “Responsible owner” upgrade buyers justify easily – protects the car interior from fur, dirt, and scratches during rides.

7. Home fitness equipment

Home fitness equipment sells because workouts have to fit into real life – work schedules, family time, limited space, and inconsistent energy. Buyers choose gear they can use at home without commuting to a gym or committing to long sessions.

The market continues to grow as buyers favor compact, space-efficient equipment. That shift reflects a change in priorities: people want flexible fitness options that don’t require dedicated rooms or major lifestyle adjustments.

Products that support consistency outperform those that demand intensity. Resistance bands and yoga mats sell better than treadmills because they’re easy to start, quick to store, and adaptable to different skill levels. Equipment that works for beginners and still challenges experienced users stays relevant longer.

Small usability details determine whether equipment gets used. A mat that slides or grips that feel uncomfortable quietly reduces motivation until the product gets ignored. Comfort and practicality turn gear into a habit; inconvenience sends it under the bed.

Keep in mind that compact and versatile equipment works best for dropshipping. Here are some solid options to sell:

• Resistance band kits. One set supports progression from beginner to advanced – different resistance levels mean buyers don’t outgrow the product quickly.
• Non-slip yoga mats. Grip and thickness matter more than color or branding here – buyers notice quality immediately when the mat stays in place during use.
• Adjustable ankle weights. Space-saving gear that replaces multiple fixed weights – fits easily in drawers and works for various exercises.
• Push-up boards. Visual benefit makes them easy to market and understand – color-coded hand positions guide users through different muscle targets.
• Jump ropes with counters. A simple cardio tool with built-in progress tracking – appealing to buyers who want measurable results without complicated equipment.
• Core sliders. Compact, easy to ship, and ideal for small-space workouts – works on carpet or hardwood, adding versatility without extra cost.

8. Phone accessories and gadgets

The global mobile phone accessories market is estimated at $115.82 billion in 2025 and projected to reach $186.10 billion by 2032, according to Coherent Market Insights. That scale reflects how essential these products have become.

Phone accessories sell consistently because they wear out, break, or become incompatible faster than phones themselves. Screen protectors scratch, cases yellow, and charging cables fray, triggering quick replacement purchases. That ongoing cycle creates steady, year-round demand instead of relying on trends or seasonal spikes.

Compatibility determines conversions. Buyers want clear confirmation that a case fits their exact model, like iPhone 15 Pro, not vague labels like “iPhone 15 series.” Specific model listings and clear, benefit‑driven product descriptions that sell reduce hesitation and prevent returns.

Design still influences choice. Cases, chargers, and mounts are visible every day, so they need to look intentional and well-made. Products that balance durability with clean design stay relevant longer than purely utilitarian options.

Consider these phone accessories and gadgets for your shop:

• Wireless charging pads. A convenience upgrade that buyers adopt once and keep using – eliminates cable wear and makes charging effortless.
• Shock-resistant phone cases. Protection-first purchase that gets replaced every 6-12 months as cases yellow, crack, or lose grip.
• Screen protectors. High-frequency replacement item when scratches or cracks appear – buyers often purchase multiple at once as backups.
• Magnetic phone mounts. Clear navigation use case that’s easy to demonstrate – works for cars, desks, and bedside tables.
• Power banks. Practical work and travel item buyers often upgrade as battery capacity improves or existing units lose charge retention.
• Charging cable organizers. Low-cost add-on that improves order value – solves tangles and cable damage, a problem every phone owner experiences.

9. Outdoor and travel gear

Outdoor and travel gear benefits from predictable seasonal demand tied to trips and warm-weather activities, but many items also solve everyday organization problems, keeping them in demand year-round.

Interest spikes around summer planning, but packing cubes, portable hammocks, and collapsible bottles continue moving because they make regular travel easier.

The market here continues expanding as casual outdoor recreation grows beyond hardcore camping. That broadening audience is your opportunity: you’re reaching weekend warriors, festival-goers, and business travelers wanting better gear for trips they’re already taking.

Function beats features decisively. Products that make packing easier, save luggage space, or solve one obvious problem convert faster than complex multi-tools with attachments buyers won’t use. Simplicity wins because people instantly picture using these items on their next trip.

Here are solid outdoor and travel gear options to consider selling:

• Travel packing cubes. Simple organizers that solve a universal packing problem: help clothes stay organized and visible in suitcases.
• Portable hammocks. Clear leisure use case with strong visual appeal – easy to set up in parks, backyards, or campsites.
• Compression travel pillows. Comfort upgrade buyers justify on long trips – reduces neck pain and packs down small when not in use.
• Collapsible water bottles. Space-saving design fits both travel and hiking needs – takes up minimal room in bags when empty.
• Compact camping lanterns. Practical item useful beyond camping – works for power outages, outdoor events, and emergency kits.
• Waterproof dry bags. Obvious protection benefit for water activities – keeps phones, wallets, and clothes dry during kayaking, beach trips, or rainy hikes.

10. DIY and craft supplies

DIY and craft supplies are a great choice for dropshipping because buyers want creative downtime that feels productive without expensive commitments. These products support accessible creativity – hands-on projects that offer a break from screens without requiring professional skill.

The category continues growing as home crafts become a mainstream way to relax. Structured beginner kits convert especially well because they remove guesswork.

If you want repeat customers, focus on kits that feel achievable from the start. When someone opens the box and can begin immediately – without hunting for extra tools or watching tutorials first – they’re far more likely to complete the project and come back for more.

Packaging and kit quality are major drivers of customer satisfaction in this niche. Missing pieces, crushed supplies, or unclear instructions turn excitement into refunds immediately. Well-organized, complete kits set expectations properly and build trust from the first project.

Consider the following DIY and craft supplies if you’re looking to sell in this category:

• Candle-making kits. Starter product that leads to ongoing supply purchases – buyers often experiment with different scents and styles after their first successful batch.
• Paint-by-numbers sets. Finishable project that photographs well for social sharing – appeals to beginners who want creative results without advanced skills.
• Embroidery kits. Beginner-friendly entry into a repeat hobby – simple stitching patterns build confidence and lead to more complex projects.
• Resin molds. Tool-style product that supports multiple future projects – buyers purchase resin, pigments, and additional molds as they continue crafting.
• Jewelry-making supplies. Strong personalization and restocking behavior – buyers create pieces for themselves and as gifts, driving frequent reorders.
• DIY tool starter kits. “Everything in one box” appeal for beginners – removes the intimidation of figuring out which supplies to buy separately.

How to spot trending products?

You can spot trending products by combining data signals with real-world buying behavior, not chasing whatever went viral yesterday. The difference between sustainable trends and flash-in-the-pan moments comes down to recognizing patterns that repeat versus spikes that disappear.

Here are the signals worth your attention:

• Search momentum holds consistently over months. Google Trends shows interest on a 0-100 scale, with 100 marking peak popularity. When a trend stays above 60 for several months, it usually indicates real demand supporting inventory investment. Sharp spikes collapsing within days or weeks are almost always hype cycles, leaving you with unsellable stock.
• Multiple sellers are testing and scaling the same product. Shopify data and marketplace listings reveal what’s actually converting into sales. When you see multiple established stores pushing the same product with different angles or price points, that’s strong evidence it works; sellers don’t keep pouring ad spend into unprofitable items. Follow the money, not the hype.
• The product appears repeatedly across different content formats. Tools like TikTok Creative Center help spot demand patterns early. When the same item appears in problem-solving videos, lifestyle demonstrations, before-and-after comparisons, and unboxing content, buyers already understand its value before reaching your store. That pre-existing awareness significantly shortens your sales cycle.
• Demand rises outside predictable seasonal patterns. Some spikes are calendar-driven and predictable: fitness gear every January, travel accessories before summer. Real opportunities appear when products show sustained growth outside expected seasons, often signaling fundamental behavior shifts rather than temporary calendar effects.

What are the best marketing strategies for trending dropshipping products?

Trending products sell fastest when your marketing shows the outcome immediately, not when it spends time explaining features. Buyers scrolling through ads or listings decide in seconds based on whether they can instantly picture the product solving their problem.

Here’s what consistently converts:

• Lead with the visible result, not the product. Show someone’s organized desk (not the organizer), a pet’s clean fur (not the brush), a traveler’s packed suitcase (not the packing cubes). If viewers can’t grasp the benefit in the first three seconds, they’ll keep scrolling.
• Default to short-form video for paid ads and organic content. Social clips, influencer partnerships, and paid ads perform best when they compress the entire buying decision into 15-30 seconds: problem, solution, result. That format matches how people consume content on discovery platforms.
• Build urgency around genuine timing factors. Seasonal connections (“before summer travel”), restocking timelines (“limited quantity until next shipment”), or time-sensitive needs work well for this purpose. Fake countdown timers feel manipulative and permanently damage trust.
• Test small, scale proven winners. Start every product with modest budgets, testing different angles and messaging. Watch conversion signals closely; add-to-cart rates and completed checkouts matter more than clicks. Scale only combinations proving they can profitably convert traffic.
• Optimize every element for mobile first. Most buyers discover and purchase on phones, which means visuals, copy, and checkout must work perfectly on small screens. Using a platform like Hostinger Website Builder, which includes templates designed for a mobile-friendly website and built-in checkout, reduces technical friction and keeps the focus on conversions.
• Add authentic social proof early and consistently. Even modest review counts (10-20 verified purchases) significantly outperform flawless pages with zero reviews. Buyers trust other buyers more than your marketing copy. Set clear expectations, follow up promptly, and provide genuinely helpful support; these build momentum that turns early customers into repeat buyers.

Trend cycles move fast, but strongonline selling strategies transform temporary momentum into sustainable businesses surviving beyond individual product lifecycles.

All of the tutorial content on this website is subject to

Hostinger’s rigorous editorial standards and values.

The author

Alma Fernando

Alma is an AI Content Editor with 9+ years of experience helping ideas take shape across SEO, marketing, and content. She loves working with words, structure, and strategy to make content both useful and enjoyable to read. Off the clock, she can be found gaming, drawing, or diving into her latest D&D adventure.

The post 10 trending products for dropshipping appeared first on WEBNET Hosting.

In this article, you will learn how to list, configure, enable, disable, and troubleshoot network interfaces in Linux using 15 useful ifconfig commands with practical examples.

ifconfig (Interface Configuration is a utility for system/network administration in Unix/Linux operating systems used to configure, manage, and query network interface parameters via the command-line interface or in system configuration scripts.

The ifconfig command is used for displaying current network configuration information, setting up an IP address, netmask, or broadcast address to a network interface, creating an alias for a network interface, setting the hardware address, and enabling or disabling network interfaces.

To install it, run:

sudo apt install net-tools #Debian/Ubuntu
sudo dnf install net-tools #RHEL/Fedora

1. How to List All Active Network Interfaces in Linux

The ifconfig command with no arguments will display all active network interface configuration details, including their assigned IP addresses, netmasks, and other relevant information.

ifconfig

Sample Output:

ens3      Link encap:Ethernet  HWaddr 00:0B:CD:1C:18:5A
          inet addr:172.16.25.126  Bcast:172.16.25.63  Mask:255.255.255.224
          inet6 addr: fe80::20b:cdff:fe1c:185a/64 Scope:Link
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:2341604 errors:0 dropped:0 overruns:0 frame:0
          TX packets:2217673 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:293460932 (279.8 MiB)  TX bytes:1042006549 (993.7 MiB)

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          inet6 addr: ::1/128 Scope:Host
          UP LOOPBACK RUNNING  MTU:65536  Metric:1
          RX packets:5019066 errors:0 dropped:0 overruns:0 frame:0
          TX packets:5019066 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:2174522634 (2.0 GiB)  TX bytes:2174522634 (2.0 GiB)

tun0      Link encap:UNSPEC  HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00
          inet addr:10.1.1.1  P-t-P:10.1.1.2  Mask:255.255.255.255
          UP POINTOPOINT RUNNING NOARP MULTICAST  MTU:1500  Metric:1
          RX packets:0 errors:0 dropped:0 overruns:0 frame:0
          TX packets:0 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:100
          RX bytes:0 (0.0 b)  TX bytes:0 (0.0 b)

Note: Modern Linux distributions use predictable network interface names such as ens3, enp3s0, or eno1 instead of the traditional eth0 naming convention.

2. How to Display Information on All Network Interfaces

The following ifconfig command with the -a argument will display information on all active or inactive network interfaces on the server. It displays the results for eth0, lo, sit0, and tun0.

ifconfig -a

Sampple Output:

eth0      Link encap:Ethernet  HWaddr 00:0B:CD:1C:18:5A
          inet addr:172.16.25.126  Bcast:172.16.25.63  Mask:255.255.255.224
          inet6 addr: fe80::20b:cdff:fe1c:185a/64 Scope:Link
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:2344927 errors:0 dropped:0 overruns:0 frame:0
          TX packets:2220777 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:293839516 (280.2 MiB)  TX bytes:1043722206 (995.3 MiB)
          Interrupt:185 Memory:f7fe0000-f7ff0000

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          inet6 addr: ::1/128 Scope:Host
          UP LOOPBACK RUNNING  MTU:16436  Metric:1
          RX packets:5022927 errors:0 dropped:0 overruns:0 frame:0
          TX packets:5022927 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:2175739488 (2.0 GiB)  TX bytes:2175739488 (2.0 GiB)

sit0      Link encap:IPv6-in-IPv4
          NOARP  MTU:1480  Metric:1
          RX packets:0 errors:0 dropped:0 overruns:0 frame:0
          TX packets:0 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:0 (0.0 b)  TX bytes:0 (0.0 b)

tun0      Link encap:UNSPEC  HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00
          inet addr:10.1.1.1  P-t-P:10.1.1.2  Mask:255.255.255.255
          UP POINTOPOINT RUNNING NOARP MULTICAST  MTU:1500  Metric:1
          RX packets:0 errors:0 dropped:0 overruns:0 frame:0
          TX packets:0 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:100
          RX bytes:0 (0.0 b)  TX bytes:0 (0.0 b)

3. How to View Network Settings of a Specific Interface

Using an interface name (e.g., ens3) as an argument with the ifconfig command will display configuration details for that specific network interface only.

ifconfig ens3

Sampple Output:

ens3      Link encap:Ethernet  HWaddr 00:0B:CD:1C:18:5A
          inet addr:172.16.25.126  Bcast:172.16.25.63  Mask:255.255.255.224
          inet6 addr: fe80::20b:cdff:fe1c:185a/64 Scope:Link
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:2345583 errors:0 dropped:0 overruns:0 frame:0
          TX packets:2221421 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:293912265 (280.2 MiB)  TX bytes:1044100408 (995.7 MiB)

4. How to Enable a Network Interface

The up flag with an interface name activates a network interface if it is in an inactive state, allowing it to send and receive data.

For example, ifconfig ens3 up will activate the ens3 interface.

ifconfig ens3 up

Note: The ifup command was traditionally used as an alternative to bring interfaces up, but it is no longer available by default on many modern distributions such as RHEL 8+, Ubuntu 18.04+, and Fedora. The recommended modern approach is to use ip link set ens3 up or manage interfaces through NetworkManager using the nmcli command.

5. How to Disable a Network Interface

The down flag with an interface name deactivates the specified network interface,f or example, the ifconfig ens3 down command deactivates the ens3 interface.

ifconfig ens3 down

Note: Similar to ifup, the ifdown command is not available by default on most modern Linux distributions. Use ip link set ens3 down or nmcli as the modern alternative.

6. How to Assign an IP Address to a Network Interface

To assign an IP address to a specific interface, use the ifconfig command with the interface name and the IP address you want to set.

For example, the following command sets the IP address on the ens3 interface.

ifconfig ens3 172.16.25.125

Note: IP addresses assigned this way are not persistent and will be lost after a system reboot. To make changes permanent, configure the network through NetworkManager or by editing the appropriate network configuration files for your distribution.

7. How to Assign a Netmask to a Network Interface

Using the ifconfig command with the netmask argument and an interface name allows you to define a subnet mask for the given interface.

For example, the following command sets the netmask on the ens3 interface.

ifconfig ens3 netmask 255.255.255.224

8. How to Assign a Broadcast Address to a Network Interface

Using the broadcast argument with an interface name will set the broadcast address for the given interface. For example, the following command sets the broadcast address on the ens3 interface.

ifconfig ens3 broadcast 172.16.25.63

9. How to Assign an IP Address, Netmask, and Broadcast Address Together

To assign an IP address, netmask, and broadcast address all at once, use the ifconfig command with all three arguments as shown below.

ifconfig ens3 172.16.25.125 netmask 255.255.255.224 broadcast 172.16.25.63

10. How to Change the MTU for a Network Interface

The mtu argument sets the Maximum Transmission Unit for an interface. The MTU defines the largest size of packet (in bytes/octets) that the interface will transmit in a single transaction.

Adjusting the MTU is useful in specific network environments, such as when using VPNs or jumbo frames.

For example, the following command sets the MTU to 1000 on the ens3 interface.

ifconfig ens3 mtu 1000

Note: Not all network interfaces support MTU changes. The default MTU for Ethernet interfaces is 1500 bytes. Setting it too low can degrade performance, so change it only when required.

11. How to Enable Promiscuous Mode on a Network Interface

In normal mode, when a network card receives a packet, it checks whether the packet is addressed to itself. If not, it drops the packet. In promiscuous mode, the network interface accepts all packets flowing through the network, regardless of their destination address.

Network monitoring and packet analysis tools such as tcpdump and Wireshark rely on promiscuous mode to capture traffic.

To enable promiscuous mode on an interface, use the following command.

ifconfig ens3 promisc

12. How to Disable Promiscuous Mode on a Network Interface

To disable promiscuous mode and return the network interface to normal operation, use the -promisc switch as shown below.

ifconfig ens3 -promisc

13. How to Add an Alias to a Network Interface

The ifconfig utility allows you to configure additional IP addresses on the same physical interface using the alias feature, which is useful when you need a single interface to respond to multiple IP addresses.

To add an alias for the ens3 interface, use the following command, but do note that the alias IP address must be within the same subnet as the primary IP address.

For example, if your primary IP is 172.16.25.125, a valid alias would be 172.16.25.127.

ifconfig ens3:0 172.16.25.127

Next, verify the newly created alias interface by running the following command.

ifconfig ens3:0

Sample Output:

ens3:0    Link encap:Ethernet  HWaddr 00:01:6C:99:14:68
          inet addr:172.16.25.127  Bcast:172.16.25.63  Mask:255.255.255.224
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1

Note: Interface aliases are not persistent across reboots. For permanent multiple IP addresses on a single interface, configure them through NetworkManager or the distribution-specific network configuration files.

14. How to Remove an Alias from a Network Interface

If you no longer require an alias network interface or configured it incorrectly, you can remove it using the following command.

ifconfig ens3:0 down

15. How to Change the MAC Address of a Network Interface

To change the MAC (Media Access Control) address of a network interface, use the ifconfig command with the hw ether argument followed by the new MAC address. Note that the interface must be brought down before changing its MAC address on some systems.

ifconfig ens3 down
ifconfig ens3 hw ether AA:BB:CC:DD:EE:FF
ifconfig ens3 up

Note: MAC address changes made this way are temporary and will revert after a reboot. For permanent changes, use ip link or configure it through NetworkManager.

These are the most useful ifconfig commands for configuring network interfaces in Linux. For more information and usage options, refer to the man page by running man ifconfig at the terminal.

Since ifconfig is deprecated on most modern Linux distributions, it is worth familiarizing yourself with the ip command as the recommended replacement for managing network interfaces going forward.

Other Networking Utilities

• nmcli – a command-line client that is used to control NetworkManager and report network information.
• Tcmpdump – is a command-line packet capture and analyzer tool for monitoring network traffic.
• Netstat – is an open-source command-line network monitoring tool that monitors incoming and outgoing network packet traffic.
• ss (socket statistics) – a tool that prints network socket-related information on a Linux system.
• Wireshark – is an open-source network protocol analyzer that is used to troubleshoot network-related issues.
• Munin – is a web-based network and system monitoring application that is used to display results in graphs using rrdtool.
• Cacti – is a complete web-based monitoring and graphing application for network monitoring.

To get more information and options for any of the above tools, see the man pages by entering “man toolname” at the command prompt. For example, to get the information for the “netstat” tool, use the command “man netstat“.

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