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  1. Linux News

    A blog by Blogger in CodeName Blogs
    • 54 Entries
    • 0 Comments
    • 1987 Views
    By: Edwin
    Wed, 30 Apr 2025 13:08:34 +0000


    how to uninstall wsl blog

    A lot of people want Linux but do not want to go either remove Windows or take up the overwhelming task of dual booting. For those people, WSL (Windows Subsystem for Linux) came as a blessing. WSL lets you run Linux on your Windows device without the overhead of a Virtual Machine (VM). But in some cases where you want to fix a problem or simply do not want WSL anymore, you may have to uninstall WSL from your Windows system.

    Here is step-by-step guide to remove WSL from your Windows system, remove any Linux distribution, delete all related files, and clear up some disk space. Ready? Get. Set. Learn!

    What is WSL

    You probably knew by now that we will always start with the basics i.e., what WSL does. Think of WSL as a compatibility layer for running Linux binaries on Microsoft Windows systems. It comes in two versions:

    • WSL 1: Uses a translation layer between Linux and Windows.
    • WSL 2: Uses a real Linux kernel in a lightweight VM.

    All around the world, WSL is a favourite among developers, system administrators, and students for running Linux tools like bash, ssh, grep, awk, and even Docker. But if you have moved to a proper Linux system or just want to do a clean reinstall, here are the instructions to remove WSL completely without any errors.

    Step 1: How to Uninstall Linux Distributions

    The first step to uninstall WSL completely is to remove all installed Linux distributions.

    Check Installed Distros

    To check for the installed Linux distributions, open PowerShell or Command Prompt and run the command:

    wsl --list --all

    After executing this command, you will see a list of installed distros, such as:

    • Ubuntu
    • Debian
    • Kali
    • Alpine

    How to Uninstall a Linux Distro

    To uninstall a distro like Ubuntu, follow these instructions:

    1. Press Windows key + I to open Settings window.
    2. Go to Apps, then click Installed Apps (or Apps & Features).
    3. Search for your distro and click Uninstall.

    Repeat for all distros you no longer need. If you plan to uninstall WSL completely, we recommend removing all distros.

    if you prefer PowerShell, run these commands

    wsl --unregister <DistroName>

    For example, if you want to remove Ubuntu, execute the command:

    wsl --unregister Ubuntu

    This removes the Linux distro and all its associated files.

    Step 2: Uninstall WSL Components

    Once we have removed the unwanted distros, let us uninstall the WSL platform itself.

    1. Open Control Panel and navigate to Programs and then click Turn Windows features on or off.
    2. Uncheck these boxes:
      1. Windows Subsystem for Linux
      2. Virtual Machine Platform (used by WSL 2)
      3. Windows Hypervisor Platform (optional)
    3. Click OK and restart your system.

    Step 3: Remove WSL Files and Cache

    Even after uninstalling WSL and Linux distributions, some data might remain. Here are the instructions to delete WSL’s cached files and reclaim disk space.

    To delete the WSL Folder, open File Explorer and go to:

    %USERPROFILE%\AppData\Local\Packages

    Look for folders like:

    • CanonicalGroupLimited…Ubuntu
    • Debian…
    • KaliLinux…

    Delete any folders related to WSL distros you removed.

    Step 4: Remove WSL CLI Tool (Optional)

    If you installed WSL using the Microsoft Store (i.e., “wsl.exe” package), you can also uninstall it directly from the Installed Apps section:

    1. Go to Settings, and then to Apps and then open Installed Apps.
    2. Search for Windows Subsystem for Linux.
    3. Click Uninstall.

    Step 5: Clean Up with Disk Cleanup Tool

    Finally, use the built-in Disk Cleanup utility to clear any temporary files.

    1. Press “Windows key + S and search for Disk Cleanup.
    2. Choose your system drive (usually drive C:).
    3. Select options like:
      1. Temporary files
      2. System created Windows error reporting
      3. Delivery optimization files
    4. Click OK to clean up.

    Bonus Section: How to Reinstall WSL (Optional)

    If you are removing WSL due to issues or conflicts, you can always do a fresh reinstall.

    Here is how you can install latest version of WSL via PowerShell

    wsl --install

    This installs WSL 2 by default, along with Ubuntu.

    Wrapping Up

    Uninstalling WSL may sound tricky, but by following these steps, you can completely remove Linux distributions, WSL components, and unwanted files from your system. Whether you are making space for something new or just doing some digital spring cleaning, this guide ensures that WSL is uninstalled safely and cleanly.

    If you ever want to come back to the Linux world, WSL can be reinstalled with a single command, which we have covered as a precaution. Let us know if you face any errors. Happy learning!

    The post Uninstall WSL: Step-by-Step Simple Guide appeared first on Unixmen.

    Recent Entries

  2. Programmer's Corner

    A blog by Blogger in CodeName Blogs
    • 171 Entries
    • 0 Comments
    • 2235 Views
    by: Temani Afif
    Fri, 30 May 2025 13:45:43 +0000


    Ready for the second part? We are still exploring the shape() function, and more precisely, the arc command. I hope you took the time to digest the first part because we will jump straight into creating more shapes!

    As a reminder, the shape() function is only supported in Chrome 137+ and Safari 18.4+ as I’m writing this in May 2025.

    Sector shape

    Another classic shape that can also be used in pie-like charts.

    A series of three semi-circles.

    It’s already clear that we have one arc. As for the points, we have two points that don’t move and one that moves depending on how much the sector is filled.

    Diagram showing the fixed and variable lengths of an arc shape.

    The code will look like this:

    .sector {
      --v: 35; /* [0 100]*/
      
      aspect-ratio: 1;
      clip-path: shape(from top, arc to X Y of R, line to center);
    }

    We define a variable that will control the filling of the sector. It has a value between 0 and 100. To draw the shape, we start from the top, create an arc until the point (X, Y), and then we move to the center.

    Are we allowed to use keyword values like top and center?

    Yes! Unlike the polygon() function, we have keywords for the particular cases such as top, bottom, left, etc. It’s exactly like background-position that way. I don’t think I need to detail this part as it’s trivial, but it’s good to know because it can make your shape a bit easier to read.

    The radius of the arc should be equal to 50%. We are working with a square element and the sector, which is a portion of a circle, need to fill the whole element so the radius is equal to half the width (or height).1

    As for the point, it’s placed within that circle, and its position depends on the V value. You don’t want a boring math explanation, right? No need for it, here is the formula of X and Y:

    X = 50% + 50% * sin(V * 3.6deg)
    Y = 50% - 50% * cos(V * 3.6deg)

    Our code becomes:

    .sector {
      --v: 35; /* [0 100] */
      
      aspect-ratio: 1;
      clip-path: shape(from top,
        arc to calc(50% + 50% * sin(var(--v) * 3.6deg)) 
               calc(50% - 50% * cos(var(--v) * 3.6deg)) of 50%,
        line to center);
    }

    Hmm, the result is not good, but there are no mistakes in the code. Can you figure out what we are missing?

    It’s the size and direction of the arc!

    Remember what I told you in the last article? You will always have trouble with them, but if we try the different combinations, we can easily fix the issue. In our case, we need to use: small cw.

    Better! Let’s try it with more values and see how the shape behaves:

    Oops, some values are good, but others not so much. The direction needs to be clockwise, but maybe we should use large instead of small? Let’s try:

    Still not working. The issue here is that we are moving one point of the arc based on the V value, and this movement creates a different configuration for the arc command.

    Here is an interactive demo to better visualize what is happening:

    When you update the value, notice how large cw always tries to follow the largest arc between the points, while small cw tries to follow the smallest one. When the value is smaller than 50, small cw gives us a good result. But when it’s bigger than 50, the large cw combination is the good one.

    I know, it’s a bit tricky and I wanted to study this particular example to emphasize the fact that we can have a lot of headaches working with arcs. But the more issues we face, the better we get at fixing them.

    The solution in this case is pretty simple. We keep the use of large cw and add a border-radius to the element. If you check the previous demo, you will notice that even if large cw is not producing a good result, it’s filling the area we want. All we need to do is clip the extra space and a simple border-radius: 50% will do the job!

    I am keeping the box-shadow in there so we can see the arc, but we can clearly see how border-radius is making a difference on the main shape.

    There is still one edge case we need to consider. When the value is equal to 100, both points of the arc will have the same coordinates, which is logical since the sector is full and we have a circle. But when it’s the case, the arc will do nothing by definition and we won’t get a full circle.

    To fix this, we can limit the value to, for example, 99.99 to avoid reaching 100. It’s kind of hacky, but it does the job.

    .sector {
      --v: 35; /* [0 100]*/
      
      --_v: min(99.99, var(--v));
      aspect-ratio: 1;
      clip-path: shape(from top,
        arc to calc(50% + 50% * sin(var(--_v) * 3.6deg)) 
               calc(50% - 50% * cos(var(--_v) * 3.6deg)) of 50% large cw,
        line to center);
      border-radius: 50%;
    }

    Now our shape is perfect! And don’t forget that you can apply it to image elements:

    Arc shape

    Similar to the sector shape, we can also create an arc shape. After all, we are working with the arc command, so we have to do it.

    A series of three circular rings at various lengths.

    We already have half the code since it’s basically a sector shape without the inner part. We simply need to add more commands to cut the inner part.

    Diagram showing the arc points of a semi-circle shape. There are two arcs, one on the outside and one on the inside. They are joined by straight lines.
    .arc {
      --v: 35; 
      --b: 30px;
      
      --_v: min(99.99, var(--v));
      aspect-ratio: 1;
      clip-path: shape(from top,
        arc to calc(50% + 50% * sin(var(--_v) * 3.6deg)) 
               calc(50% - 50% * cos(var(--_v) * 3.6deg)) of 50% cw large,
        
        line to calc(50% + (50% - var(--b)) * sin(var(--_v) * 3.6deg)) 
                calc(50% - (50% - var(--b)) * cos(var(--_v) * 3.6deg)),
        arc to 50% var(--b) of calc(50% - var(--b)) large
      );
      border-radius: 50%;
    }

    From the sector shape, we remove the line to center piece and replace it with another line command that moves to a point placed on the inner circle. If you compare its coordinates with the previous point, you will see an offset equal to --b, which is a variable that defines the arc’s thickness. Then we draw an arc in the opposite direction (ccw) until the point 50% var(--b), which is also a point with an offset equal to --b from the top.

    I am not defining the direction of the second arc since, by default, the browser will use ccw.

    Ah, the same issue we hit with the sector shape is striking again! Not all the values are giving a good result due to the same logic we saw earlier, and, as you can see, border-radius is not fixing it. This time, we need to find a way to conditionally change the size of the arc based on the value. It should be large when V is bigger than 50, and small otherwise.

    Conditions in CSS? Yes, it’s possible! First, let’s convert the V value like this:

    --_f: round(down, var(--_v), 50)

    The value is within the range [0 99.99] (don’t forget that we don’t want to reach the value 100). We use round() to make sure it’s always equal to a multiple of a specific value, which is 50 in our case. If the value is smaller than 50, the result is 0, otherwise it’s 50.

    There are only two possible values, so we can easily add a condition. If --_f is equal to 0 we use small; otherwise, we use large:

    .arc {
      --v: 35;
      --b: 30px;
      
      --_v: min(99.99, var(--v));
      --_f: round(down,var(--_v), 50);
      --_c: if(style(--_f: 0): small; else: large);
      clip-path: shape(from top,
        arc to calc(50% + 50% * sin(var(--_v) * 3.6deg)) 
               calc(50% - 50% * cos(var(--_v) * 3.6deg)) of 50% cw var(--_c),
        line to calc(50% + (50% - var(--b)) * sin(var(--_v) * 3.6deg)) 
                calc(50% - (50% - var(--b)) * cos(var(--_v) * 3.6deg)),
        arc to 50% var(--b) of calc(50% - var(--b)) var(--_c)
      );
    }

    I know what you are thinking, but let me tell you that the above code is valid. You probably don’t know it yet, but CSS has recently introduced inline conditionals using an if() syntax. It’s still early to play with it, but we have found a perfect use case for it. Here is a demo that you can test using Chrome Canary:

    Another way to express conditions is to rely on style queries that have better support:

    .arc {
      --v: 35;
      --b: 30px;
      
      --_v: min(99.99, var(--v));
      --_f: round(down, var(--_v), 50);
      aspect-ratio: 1;
      container-name: arc;
    }
    .arc:before {
      content: "";
      clip-path: shape(from top,
        arc to calc(50% + 50% * sin(var(--_v) * 3.6deg)) 
               calc(50% - 50% * cos(var(--_v) * 3.6deg)) of 50% cw var(--_c, large),
        line to calc(50% + (50% - var(--b)) * sin(var(--_v) * 3.6deg)) 
                calc(50% - (50% - var(--b)) * cos(var(--_v) * 3.6deg)),
        arc to 50% var(--b) of calc(50% - var(--b)) var(--_c, large)
      );
      @container style(--_f: 0) { --_c: small }
    }

    The logic is the same but, this feature requires a parent-child relation, which is why I am using a pseudo-element. By default, the size will be large, and if the value of --_f is equal to 0, we switch to small.

    Note that we have to register the variable --_f using @property to be able to either use the if() function or style queries.

    Did you notice another subtle change I have made to the shape? I removed border-radius and I applied the conditional logic to the first arc. Both have the same issue, but border-radius can fix only one of them while the conditional logic can fix both, so we can optimize the code a little.

    Arc shape with rounded edges

    What about adding rounded edges to our arc? It’s better, right?

    A series of three semi-circles with rounded edges at varying lengths.

    Can you see how it’s done? Take it as a small exercise and update the code from the previous examples to add those rounded edges. I hope you are able to find it by yourself because the changes are pretty straightforward — we update one line command with an arc command and we add another arc command at the end.

    clip-path: shape(from top,
      arc to calc(50% + 50% * sin(var(--_v) * 3.6deg)) 
             calc(50% - 50% * cos(var(--_v) * 3.6deg)) of 50% cw var(--_c, large),
      arc to calc(50% + (50% - var(--b)) * sin(var(--_v) * 3.6deg))
             calc(50% - (50% - var(--b)) * cos(var(--_v) * 3.6deg)) of 1% cw,
      arc to 50% var(--b) of calc(50% - var(--b)) var(--_c, large),
      arc to top of 1% cw
    );

    If you do not understand the changes, get out a pen and paper, then draw the shape to better see the four arcs we are drawing. Previously, we had two arcs and two lines, but now we are working with arcs instead of lines.

    And did you remember the trick of using a 1% value for the radius? The new arcs are half circles, so we can rely on that trick where you specify a tiny radius and the browser will do the job for you and find the correct value!

    Conclusion

    We are done — enough about the arc command! I had to write two articles that focus on this command because it’s the trickiest one, but I hope it’s now clear how to use it and how to handle the direction and size thing, as that is probably the source of most headaches.

    By the way, I have only studied the case of circular arcs because, in reality, we can specify two radii and draw elliptical ones, which is even more complex. Unless you want to become a shape() master, you will rarely need elliptical arcs, so don’t bother yourself with them.

    Until the next article, I wrote an article for Frontend Masters where you can create more fancy shapes using the arc command that is a good follow-up to this one.

    Three shapes. The first looks like a flower. The second looks like a sun. The third looks like a blob.

    Footnotes

    (1) The arc command is defined to draw elliptical arcs by taking two radii, but if we define one radius value, it means that the vertical and horizontal radius will use that same value and we have circular arcs. When it’s a length, it’s trivial, but when we use percentages, the value will resolve against the direction-agnostic size, which is equal to the length of the diagonal of the box, divided by sqrt(2).

    In our case, we have a square element so 50% of the direction-agnostic size will be equal to 50% of sqrt(Width² + Height²)/sqrt(2). And since both width and height are equal, we end with 50% of the width (or the height).


    Better CSS Shapes Using shape() — Part 2: More on Arcs originally published on CSS-Tricks, which is part of the DigitalOcean family. You should get the newsletter.

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  3. F.O.S.S

    A blog by Blogger in CodeName Blogs
    • 90 Entries
    • 0 Comments
    • 3877 Views
    by: Abhishek Prakash
    Thu, 29 May 2025 04:29:31 GMT


    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    Important thing first. Ubuntu 20.04 LTS version will be reaching its end of life on 31st May. It was released in April 2020 and had a standard support of five years.

    Please check your Ubuntu version and if you are using 20.04, you can:

    • Do a fresh installation of Ubuntu 24.04 LTS to get the latest packages.
    • Upgrade to Ubuntu 22.04 LTS from your existing 20.04 installation, keeping your files intact.
    • Opt for Ubuntu Pro, which will ensure you get essential security patches until 2030 but no new software.
    Ubuntu 20.04 LTS is Reaching End of Life — Here are Your Options
    Upgrade or sign-up for extended support before it is too late!
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    Time to plan your update.

    💬 Let's see what else you get in this edition

    • A new Linux kernel release.
    • File permission in Linux.
    • GNU Taler payment system being approved for Swiss use.
    • And other Linux news, tips, and, of course, memes!
    • This edition of FOSS Weekly is supported by PikaPods.

    ❇️ PikaPods: Enjoy Self-hosting Hassle-free

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    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    📰 Linux and Open Source News

    Rhino Linux's new UBXI KDE Desktop doesn't disappoint.

    Hands-On with Rhino Linux’s New UBXI KDE 6 Desktop
    Rhino Linux’s first UBXI port is here!
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    🧠 What We’re Thinking About

    Carmen from Mission Libre has started a petition to get Qualcomm to release fully-free drivers for their in-production chipsets. If the petition is signed by 5,000 people, a hardcopy of the petition and signatures will be mailed to Qualcomm's head office. We can get 5,000 signatures, can't we?

    Home | Tell Qualcomm: Publish Free Drivers for Modern Wi-Fi Chipsets!
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    🧮 Linux Tips, Tutorials and More

    Looking for some note taking apps suggestion? We have an extensive list.

    Top 16 Best Note Taking Apps For Linux [2025]
    Plenty of amazing note-taking apps for Linux. Here’s what we recommend you to check out.
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

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    Join It's FOSS Plus

    👷 Homelab and Maker's Corner

    While it is a proprietary piece of hardware, Flexbar can be a nice addition to your Linux setup.

    Miss Apple’s Touch Bar? Flexbar Brings This Experience to Linux
    While Apple has discontinued the Touch Bar, Linux users can now enjoy the same experience with Flexbar.
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    Also, learn a thing or two about MCP servers, the latest buzzword in the (AI) tech world.

    ✨ Apps Highlight

    If you ever wanted to run an operating system inside your browser, then Puter is the solution for you. It is open source and can be self-hosted as well.

    Puter is a Complete, Fully Functional OS that Runs in Your Web Browser
    Run an operating system straight from your browser.
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    An It's FOSS reader created an FFmpeg AAC Audio Encoder Plugin for DaVinci Resolve. This will help you get effortless AAC audio encoding on Linux if you use DaVinci Resolve video editor.

    📽️ Videos I am Creating for You

    I tried Microsoft's new terminal editor on Linux! I hate to admit it but I liked what I saw here. This is an excellent approach. I wonder why Linux didn't have something like this before. See it in action 👇

    🧩 Quiz Time

    Can you identify all the GitHub alternatives in this puzzle?

    GitHub Alternatives: Puzzle
    Solve this puzzle by figuring out the alternatives to GitHub!
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    💡 Quick Handy Tip

    In Xfce, you can use the panel item "Directory Menu" to get quick access to files from anywhere. This is like the Places extension in GNOME, but better.

    In the configuration menu for it, provide the file extension in the following format *.txt;*.jsonc as shown in the screenshot above to access the files quickly. Clicking on those files opens it in the default app.

    🤣 Meme of the Week

    The ricing never stops! 👨‍💻

    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

    🗓️ Tech Trivia

    On May 27, 1959, MIT retired the Whirlwind computer, a groundbreaking machine famous for pioneering real-time computing and magnetic core memory.

    🧑‍🤝‍🧑 FOSSverse Corner

    ProFOSSer Sheila is having an issue with MX Linux, can you help?

    MX Linux / XFCE missing desktop background image!
    I am at a loss as to how to fix a new issue on MX-Linux Xfce that started about 30 min ago. I was working on things and my windows are always only expanded far enough right so that I can still see my Conky (top-right on desktop). I clicked outside the window on Conky and it disappeared. So did the background image. Later, switching workspaces, I found the same was true on all of them and when I right clicked on the desktop, no context menu. I went in to the desktop settings and tried to apply a…
    FOSS Weekly #25.22: Microsoft's Vim Alternative, Kernel 6.15, UBXI Desktop, End of Ubuntu 20.04 and More

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  4. Jessica Brown

    • 47 Entries
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    SaltStack (SALT): A Comprehensive Overview

    SaltStack, commonly referred to as SALT, is a powerful open-source infrastructure management platform designed for scalability. Leveraging event-driven workflows, SALT provides an adaptable solution for automating configuration management, remote execution, and orchestration across diverse infrastructures.

    This document offers an in-depth guide to SALT for both technical teams and business stakeholders, demystifying its features and applications.

    What is SALT?

    SALT is a versatile tool that serves multiple purposes in infrastructure management:

    • Configuration Management Tool (like Ansible, Puppet, Chef): Automates the setup and maintenance of servers and applications.

    • Remote Execution Engine (similar to Fabric or SSH): Executes commands on systems remotely, whether targeting a single node or thousands.

    • State Enforcement System: Ensures systems maintain desired configurations over time.

    • Event-Driven Automation Platform: Detects system changes and triggers actions in real-time.

    Key Technologies:

    • YAML: Used for defining states and configurations in a human-readable format.

    • Jinja: Enables dynamic templating for YAML files.

    • Python: Provides extensibility through custom modules and scripts.

    Supported Architectures

    SALT accommodates various architectures to suit organizational needs:

    • Master/Minion: A centralized control model where a Salt Master manages Salt Minions to send commands and execute tasks.

    • Masterless: A decentralized approach using salt-ssh to execute tasks locally without requiring a master node.

    Core Components of SALT

    Component

    Description

    Salt Master

    Central control node that manages minions, sends commands, and orchestrates infrastructure tasks.

    Salt Minion

    Agent installed on managed nodes that executes commands from the master.

    Salt States

    Declarative YAML configuration files that define desired system states (e.g., package installations).

    Grains

    Static metadata about a system (e.g., OS version, IP address), useful for targeting specific nodes.

    Pillars

    Secure, per-minion data storage for secrets and configuration details.

    Runners

    Python modules executed on the master to perform complex orchestration tasks.

    Reactors

    Event listeners that trigger actions in response to system events.

    Beacons

    Minion-side watchers that emit events based on system changes (e.g., file changes or CPU spikes).

    Key Features of SALT

    Feature

    Description

    Agent or Agentless

    SALT can operate in agent (minion-based) or agentless (masterless) mode.

    Scalability

    Capable of managing tens of thousands of nodes efficiently.

    Event-Driven

    Reacts to real-time system changes via beacons and reactors, enabling automation at scale.

    Python Extensibility

    Developers can extend modules or create custom ones using Python.

    Secure

    Employs ZeroMQ for communication and AES encryption for data security.

    Role-Based Config

    Dynamically applies configurations based on server roles using grains metadata.

    Granular Targeting

    Targets systems using name, grains, regex, or compound filters for precise management.

    Common Use Cases

    SALT is widely used across industries for tasks like:

    • Provisioning new systems and applying base configurations.

    • Enforcing security policies and managing firewall rules.

    • Installing and enabling software packages (e.g., HTTPD, Nginx).

    • Scheduling and automating patching across multiple environments.

    • Monitoring logs and system states with automatic remediation for issues.

    • Managing VM and container lifecycles (e.g., Docker, LXC).

    Real-World Examples

    1. Remote Command Execution:

      • salt '*' test.ping (Pings all connected systems).

      • salt 'web*' cmd.run 'systemctl restart nginx' (Restarts Nginx service on all web servers).

    2. State File Example (YAML):

      nginx:
        pkg.installed: []
        service.running:
          - enable: True
          - require:
            - pkg: nginx
      

    Comparing SALT to Other Tools

    Feature

    Salt

    Ansible

    Puppet

    Chef

    Language

    YAML + Python

    YAML + Jinja

    Puppet DSL

    Ruby DSL

    Agent Required

    Optional

    No

    Yes

    Yes

    Push/Pull

    Both

    Push

    Pull

    Pull

    Speed

    Very Fast

    Medium

    Medium

    Medium

    Scalability

    High

    Medium-High

    Medium

    Medium

    Event-Driven

    Yes

    No

    No

    Limited

    Security Considerations

    SALT ensures secure communication and authentication:

    • Authentication: Uses public/private key pairs to authenticate minions.

    • Encryption: Communicates via ZeroMQ encrypted with AES.

    • Access Control: Defines granular controls using Access Control Lists (ACLs) in the Salt Master configuration.

    Additional Information

    For organizations seeking enhanced usability, SaltStack Config offers a graphical interface to streamline workflow management. Additionally, SALT's integration with VMware Tanzu provides advanced automation for enterprise systems.

    Installation Example

    On a master node (e.g., RedHat):

    sudo yum install salt-master
    

    On minion nodes:

    sudo yum install salt-minion
    

    Configure /etc/salt/minion with:

    master: your-master-hostname
    

    Then start the minion:

    sudo systemctl enable --now salt-minion
    

    Accept the minion on the master:

    sudo salt-key -L         # list all keys
    sudo salt-key -A         # accept all pending minion keys
    

    Where to Go Next

    • Salt Project Docs

    • Git-based states with gitfs

    • Masterless setups for container deployments

    • Custom modules in Python

    • Event-driven orchestration with beacons + reactors

    Large 600+ Server Patching in 3 Regions with 3 different Environments Example

    Let give an example of have 3 different environments DEV (Development), PREP (Preproduction), and PROD (Production), now let's dig a little deeper and say we have 3 different regions EUS (East US), WUS (West US), and EUR (European) and we would like these patches to be applied on changing dates, such as DEV will be patched on 3 days after the second Tuesday, PREP will be patched on 5 days after the second Tuesday, and PROD will be 5 days after the 3rd Tuesday. The final clause to this mass configuration is, we would like the patches to be applied on the Client Local Time.

    In many configurations such as AUM, or JetPatch, you would need several different Maintenace Schedules or plans to create this setup. With SALT, the configuration lies inside the minion, so configuration is much more defined, and simple to manage.

    Use Case Recap

    You want to patch three environment groups based on local time and specific schedules:

    Environment

    Schedule Rule

    Timezone

    Dev

    3rd day after 2nd Tuesday of the month

    Local

    PREP

    5th day after 2nd Tuesday of the month

    Local

    Prod

    5th day after 3rd Tuesday of the month

    Local

    Each server knows its environment via Salt grains, and the local timezone via OS or timedatectl.

    Step-by-Step Plan

    1. Set Custom Grains for Environment & Region

    2. Create a Python script (run daily) that:

      • Checks if today matches the schedule per group

      • If yes, uses Salt to target minions with the correct grain and run patching

    3. Schedule this script via cron or Salt scheduler

    4. Use Salt States to define patching

    Step 1: Define Custom Grains

    On each minion, configure /etc/salt/minion.d/env_grains.conf:

    grains:
      environment: dev   # or prep, prod
      region: us-east    # or us-west, eu-central, etc.
    

    Then restart the minion:

    sudo systemctl restart salt-minion
    

    Verify:

    salt '*' grains.items
    

    Step 2: Salt State for Patching

    Create patching/init.sls:

    update-packages:
      pkg.uptodate:
        - refresh: True
        - retry:
            attempts: 3
            interval: 15
    
    reboot-if-needed:
      module.run:
        - name: system.reboot
        - onlyif: 'test -f /var/run/reboot-required'
    

    Step 3: Python Script to Orchestrate Patching

    Let’s build run_patching.py. It:

    • Figures out the correct date for patching

    • Uses salt CLI to run patching for each group

    • Handles each group in its region and timezone

    #!/usr/bin/env python3
    import subprocess
    import datetime
    import pytz
    from dateutil.relativedelta import relativedelta, TU
    
    # Define your environments and their rules
    envs = {
        "dev": {"offset": 3, "week": 2},
        "prep": {"offset": 5, "week": 2},
        "prod": {"offset": 5, "week": 3}
    }
    
    # Map environments to regions (optional)
    regions = {
        "dev": ["us-east", "us-west"],
        "prep": ["us-east", "eu-central"],
        "prod": ["us-east", "us-west", "eu-central"]
    }
    
    # Timezones per region
    region_tz = {
        "us-east": "America/New_York",
        "us-west": "America/Los_Angeles",
        "eu-central": "Europe/Berlin"
    }
    
    def calculate_patch_date(year, month, week, offset):
        second_tuesday = datetime.date(year, month, 1) + relativedelta(weekday=TU(week))
        return second_tuesday + datetime.timedelta(days=offset)
    
    def is_today_patch_day(env, region):
        now = datetime.datetime.now(pytz.timezone(region_tz[region]))
        target_day = calculate_patch_date(now.year, now.month, envs[env]["week"], envs[env]["offset"])
        return now.date() == target_day and now.hour >= desired_hour
    
    def run_salt_target(environment, region):
        target = f"environment:{environment} and region:{region}"
        print(f"Patching {target}...")
        subprocess.run([
            "salt", "-C", target, "state.apply", "patching"
        ])
    
    def main():
        for env in envs:
            for region in regions[env]:
                if is_today_patch_day(env, region):
                    run_salt_target(env, region)
    
    if __name__ == "__main__":
        main()
    

    Make it executable:

    chmod +x /srv/scripts/run_patching.py
    

    Test it:

    ./run_patching.py
    

    Step 4: Schedule via Cron (on Master)

    Edit crontab:

    crontab -e
    

    Add daily job:

    # Run daily at 6 AM UTC
    0 6 * * * /srv/scripts/run_patching.py >> /var/log/salt/patching.log 2>&1
    

    This assumes the local time logic is handled in the script using each region’s timezone.

    Security & Safety Tips

    • Test patching states on a few dev nodes first (salt -G 'environment:dev' -l debug state.apply patching)

    • Add Slack/email notifications (Salt Reactor or Python smtplib)

    • Consider dry-run support with test=True (in pkg.uptodate)

    • Use salt-run jobs.list_jobs to track job execution

    Optional Enhancements

    • Use Salt Beacons + Reactors to monitor and patch in real-time

    • Integrate with JetPatch or Ansible for hybrid control

    • Add patch deferral logic for critical services

    • Write to a central patching log DB with job status per host

    Overall Architecture

    Minions:

    • Monitor the date/time via beacons

    • On patch day (based on local logic), send a custom event to the master

    Master:

    • Reacts to that event via a reactor

    • Targets the sending minion and applies the patching state

    Step-by-Step: Salt Beacon + Reactor Model

    1. Define a Beacon on Each Minion

    File: /etc/salt/minion.d/patchday_beacon.conf

    beacons:
      patchday:
        interval: 3600  # check every hour
    

    This refers to a custom beacon we will define.

    2. Create the Custom Beacon (on all minions)

    File: /srv/salt/_beacons/patchday.py

    import datetime
    from dateutil.relativedelta import relativedelta, TU
    import pytz
    
    __virtualname__ = 'patchday'
    
    def beacon(config):
        ret = []
    
        grains = __grains__
        env = grains.get('environment', 'unknown')
        region = grains.get('region', 'unknown')
    
        # Define rules
        rules = {
            "dev": {"offset": 3, "week": 2},
            "prep": {"offset": 5, "week": 2},
            "prod": {"offset": 5, "week": 3}
        }
    
        region_tz = {
            "us-east": "America/New_York",
            "us-west": "America/Los_Angeles",
            "eu-central": "Europe/Berlin"
        }
    
        if env not in rules or region not in region_tz:
            return ret  # invalid or missing config
    
        tz = pytz.timezone(region_tz[region])
        now = datetime.datetime.now(tz)
        rule = rules[env]
    
        patch_day = (datetime.date(now.year, now.month, 1)
                     + relativedelta(weekday=TU(rule["week"]))
                     + datetime.timedelta(days=rule["offset"]))
    
        if now.date() == patch_day:
            ret.append({
                "tag": "patch/ready",
                "env": env,
                "region": region,
                "datetime": now.isoformat()
            })
    
        return ret
    

    3. Sync Custom Beacon to Minions

    On the master:

    salt '*' saltutil.sync_beacons
    

    Enable it:

    salt '*' beacons.add patchday '{"interval": 3600}'
    

    4. Define Reactor on the Master

    File: /etc/salt/master.d/reactor.conf

    reactor:
      - 'patch/ready':
        - /srv/reactor/start_patch.sls
    

    5. Create Reactor SLS File

    File: /srv/reactor/start_patch.sls

    {% set minion_id = data['id'] %}
    
    run_patching:
      local.state.apply:
        - tgt: {{ minion_id }}
        - arg:
          - patching
    

    This reacts to patch/ready event and applies the patching state to the calling minion.

    6. Testing the Full Flow

    1. Restart the minion: systemctl restart salt-minion

    2. Confirm the beacon is registered: salt '*' beacons.list

    3. Trigger a manual test (simulate patch day by modifying date logic)

    4. Watch events on master:

    salt-run state.event pretty=True
    
    1. Confirm patching applied:

    salt '*' saltutil.running
    

    7. Example: patching/init.sls

    Already shared, but here it is again for completeness:

    update-packages:
      pkg.uptodate:
        - refresh: True
        - retry:
            attempts: 3
            interval: 15
    
    reboot-if-needed:
      module.run:
        - name: system.reboot
        - onlyif: 'test -f /var/run/reboot-required'
    

    Benefits of This Model

    • Real-time and event-driven – no need for polling or external scripts

    • Timezone-aware, thanks to local beacon logic

    • Self-healing – minions signal readiness independently

    • Audit trail – each event is logged in Salt’s event bus

    • Extensible – you can easily add Slack/email alerts via additional reactors

    Goal

    1. Track patching event completions per minion

    2. Store patch event metadata: who patched, when, result, OS, IP, environment, region, etc.

    3. Generate readable reports in:

      • CSV/Excel

      • HTML dashboard

      • JSON for API or SIEM ingestion

    Step 1: Customize Reactor to Log Completion

    Let’s log each successful patch into a central log file or database (like SQLite or MariaDB).

    Update Reactor: /srv/reactor/start_patch.sls

    Add a returner to store job status.

    {% set minion_id = data['id'] %}
    
    run_patching:
      local.state.apply:
        - tgt: {{ minion_id }}
        - arg:
          - patching
        - kwarg:
            returner: local_json  # You can also use 'mysql', 'elasticsearch', etc.
    

    Configure Returner (e.g., local_json)

    In /etc/salt/master:

    returner_dirs:
      - /srv/salt/returners
    
    ext_returners:
      local_json:
        file: /var/log/salt/patch_report.json
    

    Or use a MySQL returner:

    mysql.host: 'localhost'
    mysql.user: 'salt'
    mysql.pass: 'yourpassword'
    mysql.db: 'salt'
    mysql.port: 3306
    

    Enable returners:

    salt-run saltutil.sync_returners
    

    Step 2: Normalize Patch Data (Optional Post-Processor)

    If using JSON log, create a post-processing script to build reports:

    process_patch_log.py

    import json
    import csv
    from datetime import datetime
    
    def load_events(log_file):
        with open(log_file, 'r') as f:
            return [json.loads(line) for line in f if line.strip()]
    
    def export_csv(events, out_file):
        with open(out_file, 'w', newline='') as f:
            writer = csv.DictWriter(f, fieldnames=[
                'minion', 'date', 'environment', 'region', 'result'
            ])
            writer.writeheader()
            for e in events:
                writer.writerow({
                    'minion': e['id'],
                    'date': datetime.fromtimestamp(e['_stamp']).isoformat(),
                    'environment': e['return'].get('grains', {}).get('environment', 'unknown'),
                    'region': e['return'].get('grains', {}).get('region', 'unknown'),
                    'result': 'success' if e['success'] else 'failure'
                })
    
    events = load_events('/var/log/salt/patch_report.json')
    export_csv(events, '/srv/reports/patching_report.csv')
    

    Step 3: Build a Simple Web Dashboard

    If you want to display reports via a browser:

    🛠 Tools:

    • Flask or FastAPI

    • Bootstrap or Chart.js

    • Reads JSON/CSV and renders:

    Example Chart Dashboard Features:

    • Last patch date per server

    • 📍 Patching success rate per region/env

    • 🔴 Highlight failed patching

    • 📆 Monthly compliance timeline

    Would you like a working example of that Flask dashboard? I can include the full codebase if so.

    Step 4: Send Reports via Email (Optional)

    🐍 Python: send_report_email.py

    import smtplib
    from email.message import EmailMessage
    
    msg = EmailMessage()
    msg["Subject"] = "Monthly Patch Report"
    msg["From"] = "patchbot@example.com"
    msg["To"] = "it-lead@example.com"
    msg.set_content("Attached is the patch compliance report.")
    
    with open("/srv/reports/patching_report.csv", "rb") as f:
        msg.add_attachment(f.read(), maintype="text", subtype="csv", filename="patching_report.csv")
    
    with smtplib.SMTP("localhost") as s:
        s.send_message(msg)
    

    Schedule that weekly or monthly with cron.

    Flask Dashboard (Patch Reporting)

    app.py

    from flask import Flask, render_template
    import csv
    from collections import defaultdict
    
    app = Flask(__name__)
    
    @app.route('/')
    def index():
        results = []
        success_count = defaultdict(int)
        fail_count = defaultdict(int)
    
        with open('/srv/reports/patching_report.csv', 'r') as f:
            reader = csv.DictReader(f)
            for row in reader:
                results.append(row)
                key = f"{row['environment']} - {row['region']}"
                if row['result'] == 'success':
                    success_count[key] += 1
                else:
                    fail_count[key] += 1
    
        summary = [
            {"group": k, "success": success_count[k], "fail": fail_count[k]}
            for k in sorted(set(success_count) | set(fail_count))
        ]
    
        return render_template('dashboard.html', results=results, summary=summary)
    
    if __name__ == '__main__':
        app.run(debug=True, host='0.0.0.0', port=5000)
    

    templates/dashboard.html

    <!DOCTYPE html>
    <html>
    <head>
      <title>Patch Compliance Dashboard</title>
      <style>
        body { font-family: Arial; padding: 20px; }
        table { border-collapse: collapse; width: 100%; margin-bottom: 30px; }
        th, td { border: 1px solid #ccc; padding: 8px; text-align: left; }
        th { background-color: #f4f4f4; }
        .fail { background-color: #fdd; }
        .success { background-color: #dfd; }
      </style>
    </head>
    <body>
      <h1>Patch Compliance Dashboard</h1>
    
      <h2>Summary</h2>
      <table>
        <tr><th>Group</th><th>Success</th><th>Failure</th></tr>
        {% for row in summary %}
        <tr>
          <td>{{ row.group }}</td>
          <td>{{ row.success }}</td>
          <td>{{ row.fail }}</td>
        </tr>
        {% endfor %}
      </table>
    
      <h2>Detailed Results</h2>
      <table>
        <tr><th>Minion</th><th>Date</th><th>Environment</th><th>Region</th><th>Result</th></tr>
        {% for row in results %}
        <tr class="{{ row.result }}">
          <td>{{ row.minion }}</td>
          <td>{{ row.date }}</td>
          <td>{{ row.environment }}</td>
          <td>{{ row.region }}</td>
          <td>{{ row.result }}</td>
        </tr>
        {% endfor %}
      </table>
    </body>
    </html>
    

    How to Use

    pip install flask
    python app.py
    

    Then visit http://localhost:5000 or your server’s IP at port 5000.

    Optional: SIEM/Event Forwarding

    If you use Elasticsearch, Splunk, or Mezmo:

    • Use a returner like es_return, splunk_return, or send via custom script using REST API.

    • Normalize fields: hostname, env, os, patch time, result

    • Filter dashboards by compliance groupings

    TL;DR: Reporting Components Checklist

    Component

    Purpose

    Tool

    JSON/DB logging

    Track patch status

    Returners

    Post-processing script

    Normalize data for business

    Python

    CSV/Excel export

    Shareable report format

    Python csv module

    HTML dashboard

    Visualize trends/compliance

    Flask, Chart.js, Bootstrap

    Email automation

    Notify stakeholders

    smtplib, cron

    SIEM/Splunk integration

    Enterprise log ingestion

    REST API or native returners

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