Are you tired of juggling countless SSH commands, remembering obscure IP addresses, or fumbling with scp for file transfers? If you’re managing a fleet of servers, whether for development, staging, or production, you know the pain. But what if there was a better way?

Inspired by the intuitive power of tools like lazydocker and k9s, Lazyssh emerges as your new best friend for navigating, connecting to, and managing your servers directly from the comfort of your terminal. Built with Go, Lazyssh transforms your ~/.ssh/config file into a dynamic, interactive dashboard, making server management a breeze.

What Makes Lazyssh a Game-Changer?

Lazyssh isn’t just another SSH client; it’s a comprehensive TUI (Terminal User Interface) wrapper that puts you in control with a clean, keyboard-driven interface.

Effortless Server Management

• See All Your Servers: Lazyssh reads and beautifully displays all entries from your ~/.ssh/config in a scrollable, easy-to-read list.
• Add & Edit with Ease: Forget manual file editing. Add new servers or modify existing ones directly from the UI with a comprehensive, tabbed interface for all your SSH configuration needs.
• Safety First: Delete server entries safely, knowing that Lazyssh handles your ssh_config with care, including automatic backups.
• Stay Organized: Pin your favorite servers to the top, tag them (e.g., prod, dev, test) for quick filtering, and sort them by alias or last SSH connection.
• Check Status: Ping servers to quickly ascertain their reachability.

Lightning-Fast Server Navigation

• Fuzzy Search: Find any server instantly by alias, IP, or tags with powerful fuzzy search.
• One-Key SSH: Hit Enter and you’re connected. It’s that simple.
• Clipboard Integration: Copy SSH commands to your clipboard with a single keypress.

Advanced SSH Configuration at Your Fingertips

Lazyssh brings the full power of OpenSSH to a user-friendly interface.

• Port Forwarding: Easily set up LocalForward, RemoteForward, and DynamicForward connections.
• Connection Multiplexing: Speed up subsequent connections with built-in multiplexing support.
• Comprehensive Authentication: Configure public key, password, and agent forwarding options.
• Security & Proxy Settings: Dive into ciphers, MACs, key exchange algorithms, and flexible ProxyJump or ProxyCommand configurations.
• Tabbed Interface: All these extensive options are neatly organized into intuitive tabs like Basic, Connection, Forwarding, Authentication, and Advanced.

Smart Key Management (Upcoming)

Future versions of Lazyssh promise even more powerful key management features, including:

• Copying files between local and remote servers with an easy picker UI.
• SSH Key Deployment: Automatically append public keys to ~/.ssh/authorized_keys, generate new keypairs, and support default local public keys.

Security You Can Trust

One of the most important aspects of any SSH tool is security, and Lazyssh excels here:

• No New Risks: Lazyssh is a UI/TUI wrapper around your existing ~/.ssh/config and leverages your system’s native ssh binary (OpenSSH) for all connections.
• Privacy Preserved: Private keys, passwords, and credentials are never stored, transmitted, or modified by Lazyssh itself.
• Config Safety: Lazyssh implements non-destructive writes, preserving your comments and formatting. It also creates atomic writes and robust backup mechanisms (one-time original backup and rolling timestamped backups) before any changes are made.

Get Started with Lazyssh Today!

Ready to streamline your SSH workflow? Installation is simple:

Option 1: Homebrew (macOS)

Bash

brew install Adembc/homebrew-tap/lazyssh

Option 2: Download Binary from Releases

Grab the latest version for your OS/ARCH from GitHub Releases. A convenient snippet is provided in the README to automate this process.

Option 3: Build from Source

If you prefer building from source:

Bash

git clone https://github.com/Adembc/lazyssh.git
cd lazyssh
make build
./bin/lazyssh
# Or run directly
make run

Master Lazyssh with Simple Key Bindings

Lazyssh is designed for keyboard efficiency. Here are some essential bindings:

• ↑↓/jk: Navigate servers
• Enter: SSH into selected server
• c: Copy SSH command to clipboard
• g: Ping selected server
• a: Add server
• e: Edit server
• d: Delete server
• p: Pin/Unpin servers
• q: Quit

(A hint bar at the top of the list provides context-aware shortcuts!)

Contribute and Support

Lazyssh is an open-source project, and contributions are highly welcome! Whether you spot a bug, have a feature request, or want to submit a pull request (following the semantic PR guidelines), your input helps make Lazyssh better.

Lazyssh is built with the excellent tview and tcell libraries, a testament to the power of the Go ecosystem for creating robust terminal applications. Say goodbye to SSH headaches and embrace the efficiency of Lazyssh.

https://github.com/Adembc/lazyssh

The post Lazyssh: Tame Your Server Farm with Terminal-Based SSH Management appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

If you’ve ever felt overwhelmed managing multiple Docker stacks or wanted a more intuitive interface than raw CLI commands—Dockge might be your new favorite tool.

Dockge is a modern, elegant, and fully self-hosted manager built specifically for docker-compose users. It’s designed for those who want power and simplicity in a single place, without losing control over their YAML files or containers.

What Makes Dockge Special?

Unlike some heavier solutions, Dockge sticks to doing one thing—and does it really well: managing your compose.yaml stacks. Whether you’re starting, stopping, editing, or updating services, Dockge keeps it real-time and responsive.

Here’s what you get out of the box:

• Create, edit, start, stop, and delete your Docker stacks from a single UI.
• Update Docker images with just a few clicks.
• Interactive YAML editor for hands-on control.
• Built-in Web Terminal for direct command-line access.
• Multiple Agent Support to manage stacks across different hosts (since v1.4.0).
• Convert docker run commands into Compose YAML in seconds.
• File-based management — Dockge never hijacks your files; they’re still on disk and usable via CLI.

It’s reactive, lightweight, and honestly—kind of fun to use. Think Uptime Kuma, but for Docker Compose.

Easy Installation with Docker

Getting started with Dockge is straightforward:

# Create folders for stacks and Dockge's own files
mkdir -p /opt/stacks /opt/dockge
cd /opt/dockge

# Download the default compose.yaml
curl https://raw.githubusercontent.com/louislam/dockge/master/compose.yaml --output compose.yaml

# Start it up
docker compose up -d

Access it via your browser at http://localhost:5001, and you’re good to go!

You can also generate a custom compose.yaml file with your preferred port and stack directory via the interactive generator here: dockge.kuma.pet

Why Dockge Exists

The developer behind Dockge originally used Portainer but wanted something snappier and more focused on stacks. Dockge doesn’t try to replace Portainer entirely—it just makes managing Docker Compose setups smoother and less frustrating.

If all your infrastructure is compose.yaml-driven, Dockge is likely the best fit. But if you need to juggle volumes, networks, or standalone containers, keeping Portainer around might still be helpful.

Use Cases and Compatibility

Dockge is a great fit if:

• You’re self-hosting multiple services with Docker Compose.
• You like visual feedback and responsive interfaces.
• You want fine control without bloated features.

Supported OS and platforms include:

• Ubuntu / Debian Bullseye+ / Raspbian Bullseye+
• CentOS, Fedora, Arch
• Not yet supported on Windows
• Architectures: armv7, arm64, amd64

Updating Dockge

Updating is easy too:

cd /opt/dockge
docker compose pull && docker compose up -d

Just like that, you’re on the latest version.

Whether you’re a seasoned homelabber or just getting started with Docker, Dockge brings clarity and simplicity to Compose stack management. The UI is gorgeous, performance is fast, and setup is a breeze. You’ll wonder why you didn’t use it sooner.

Explore the GitHub repo: github.com/louislam/dockge
Watch the overview video: Dockge Demo

Bonus: Frequently Asked Questions

• Can I use Dockge with Portainer? Yes, they can run side-by-side.
• Can I manage existing stacks? Absolutely—just move your YAML files into /opt/stacks/<stack-name>/compose.yaml and click Scan Stacks Folder.
• Does it support single container management? Not directly—Dockge is purpose-built for Compose.

Final Thoughts

Dockge is a powerful tool that does one thing extremely well: give you full visual control of your Docker Compose stacks. It doesn’t try to be everything—and that’s what makes it great.

The post Dockge: A Sleek, Self-Hosted Docker Stack Manager for Compose Lovers appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

Have you ever run a Node.js app on a server, only to watch it crash a few hours later due to an unexpected error? Or maybe you’ve used nohup or screen to keep a script running in the background, only to forget it exists?

That’s where PM2 comes in—a smart, modern process manager designed to make your life easier by keeping your apps alive, managing logs, and even auto-starting your apps on system boot.

In this post, let’s break down how PM2 works, what it can do, and why it’s such a popular tool in the Node.js and backend developer world.

What Is PM2?

PM2 (short for “Process Manager 2”) is a lightweight, open-source process manager for Node.js applications—but it also works with any other executable script (like Python, Bash, Go, PHP).

It helps you:

• Keep apps running forever
• Restart automatically on crashes
• Monitor performance (CPU, RAM)
• View logs easily
• Auto-start apps on server reboot
• Load-balance across CPU cores

And best of all—it’s just a single command-line tool you install globally:

npm install -g pm2

How Does PM2 Work?

PM2 runs as a daemon in the background. When you start an app with PM2, it doesn’t just run your script—it:

1. Forks your app into its own background process
2. Watches that process for crashes or high memory use
3. Restarts it if it dies or exceeds limits
4. Logs everything to disk for easy debugging
5. Keeps track of which apps should be auto-started on boot

This means you can close your SSH session or even reboot your server—and PM2 will bring your apps back to life without you doing anything.

The Lifecycle of an App in PM2

Here’s what happens step-by-step when you run:

pm2 start app.js

1. PM2 forks your app into a child process
2. It records the process in its internal list
3. PM2 monitors the process: CPU, memory, uptime, logs
4. If the app exits unexpectedly, PM2 immediately restarts it
5. If you reboot the server, PM2 can reload it automatically (after you run pm2 startup and pm2 save once)

This makes it ideal for production use, or even for bots, APIs, or any long-running script.

Key Features of PM2

Keeps Apps Running Forever

Your app crashes at 2am? PM2 restarts it instantly—no downtime.

Auto-Start on Reboot

Set up a startup script so PM2 restores all your apps after a server reboot:

pm2 startup
pm2 save

Real-Time Monitoring

pm2 monit

View live CPU/RAM usage for each app.

Centralized Logs

pm2 logs

No more digging around for log files. PM2 keeps logs per app and shows them live.

Load Balancing with Clusters

You can spawn multiple instances of your app to utilize all CPU cores:

pm2 start app.js -i max

Perfect for improving performance and resilience.

PM2 Works with More Than Node.js

Even though PM2 was built for Node.js, you can run any type of app or script:

• Python: pm2 start script.py --interpreter python3
• Bash: pm2 start myscript.sh
• PHP: pm2 start app.php --interpreter php

It’s very flexible and language-agnostic.

When Should You Use PM2?

• Running a backend API or server
• Hosting a long-running bot or process
• Deploying Node.js, Python, or Go scripts
• Wanting crash recovery without systemd or Docker
• Needing one-liner control for logs, restarts, uptime

If you’re running an app for more than a few minutes—it’s worth using PM2.

Wrapping Up

PM2 is like a smart assistant for your apps—it keeps them running, watches them, restarts them if anything goes wrong, and gives you tools to manage everything with a few simple commands.

Whether you’re managing one app or ten, PM2 gives you peace of mind and control in a way that nohup, screen, or manual scripts just can’t.

It works quietly in the background so your app doesn’t have to shout for help.

The post How PM2 Works: The Process Manager That Keeps Your Apps Alive appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

When it comes to managing people, spreadsheets eventually fall apart. Whether you’re a small startup, a non-profit, or just a tech-savvy HR manager tired of SaaS subscriptions, you’ve probably thought:

“Can I just self-host my own HR app?”

Yes, you can. And if you’re anything like me, that means Docker is non-negotiable. You want fast deployment, simple updates, container isolation, and most importantly, full control of your data.

But here’s the catch: not all open-source HR systems are Docker-ready, and many are clunky, outdated, or abandoned. So I did the dirty work: tested the top contenders, spun up containers, broke a few things, and came away with clear winners and losers.

Odoo (Community Edition): Best All-Rounder for Docker + HR

Website: https://www.odoo.com
HR Module Overview: https://www.odoo.com/page/human-resources
Official Docker Image: https://hub.docker.com/_/odoo

If you only read this far: Odoo is the one. Hands down.

Odoo is an ERP system. That usually scares people — they think it’s too big, too bloated, too enterprisey. But here’s the thing: Odoo is modular, and the Community Edition is free and completely open-source. You can start with just HR modules and ignore the rest. Later on, you can add CRM, invoicing, accounting, and more — if you need them.

Why Odoo rocks:

• Clean, modern web interface
• HR features are well-built: employee records, contracts, leave, attendance, appraisals, timesheets, and basic recruitment
• Official Docker image means no hacks or 10-year-old community images
• Big ecosystem — plugins, docs, community support

What to watch out for:

• Built-in payroll only exists in third-party modules or the paid Enterprise edition
• Requires PostgreSQL as a backend (easy with Docker Compose, though)

Real-world Docker setup:

version: '3'

services:
  db:
    image: postgres:15
    environment:
      POSTGRES_DB: odoo
      POSTGRES_USER: odoo
      POSTGRES_PASSWORD: odoo

  odoo:
    image: odoo:16
    ports:
      - "8069:8069"
    depends_on:
      - db
    environment:
      HOST: db
      USER: odoo
      PASSWORD: odoo
    volumes:
      - odoo-data:/var/lib/odoo

volumes:
  odoo-data:

Just docker compose up -d, go to http://localhost:8069, and you’re in business.

ERPNext: Full-Featured HR + Payroll

Website: https://erpnext.com
GitHub: https://github.com/frappe/frappe_docker

ERPNext is what you get when you take accounting seriously. It was born as an ERP, but its HR module is surprisingly deep, and it’s one of the few with built-in payroll, which Odoo lacks in its free edition.

It covers everything from:

• Recruitment & onboarding
• Employee lifecycle
• Appraisals & KPIs
• Salary slips & payroll
• Leave, attendance, and shift planning

Why ERPNext is powerful:

• Built-in payroll engine with salary structures and tax calculations
• Fully open-source and active development
• Docker support via frappe_docker is well-documented

Downsides:

• Much harder to install than Odoo
• Requires familiarity with the Frappe framework
• You’ll be dealing with a more complex Docker Compose stack (Redis, MariaDB, etc.)

This is for you if:

• You’re comfortable with complex Docker setups
• You need serious payroll functionality without paying for a SaaS

ICE Hrm: Quick, Lightweight HR in a Box

Website: https://icehrm.com
Docker Image: https://hub.docker.com/r/gamonoid/icehrm

ICE Hrm is the fastest one to get up and running. It’s a traditional LAMP stack (PHP + MySQL), but the devs provide a Docker image, and it actually works out of the box.

It’s great for:

• Small teams
• NGOs
• Freelancers with a couple of contractors

You get:

• Employee directory
• Leave tracking
• Attendance (even with GPS support)
• Time tracking
• Document uploads

Limitations:

• The free version is limited — no advanced payroll, no performance modules
• UI is clean but not as polished as Odoo
• Docker image is community-maintained (but mostly stable)

Still, if you want to spin something up in 2 minutes and track employee leave without paying a dime, this is it.

OrangeHRM: Popular, But Not Docker-First

Website: https://www.orangehrm.com
GitHub: https://github.com/orangehrm/orangehrm

OrangeHRM is the first open-source HR app many people find. And on paper, it’s solid:

• Employee management
• Leave management
• Recruitment module
• Admin roles and permissions

But here’s the problem: Docker support is missing. No official image. No easy way to containerize it. You’ll have to DIY with Apache, PHP configs, and maybe even wrestle with mod_rewrite.

If you’re already running a LAMP stack manually, you might like it. Otherwise, skip it and save yourself the pain.

Summary Table

Feature / App	Odoo	ERPNext	ICE Hrm	OrangeHRM
Docker Ready	Official	Official	Community	Manual Only
HR Features
Payroll	(3rd-party)	Built-in	Basic	(Enterprise)
Recruitment
UI/UX	Modern	Clean	Simple	Outdated
Complexity	Moderate	High	Easy	Manual Setup
Best For	Most teams	Full HR+Finance	Small setups	LAMP fans

Final Thoughts

If I had to choose just one open-source HR system to self-host in Docker, Odoo would be it — no contest.

It’s powerful, modern, Docker-ready, and backed by a massive community. Even if you only use the HR modules, you’re already ahead. And if you ever want to grow into CRM, eCommerce, or Accounting, it’s all there.

The post Best Open Source HR Apps for Self-Hosting appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

ZRAM relies on compression algorithms to reduce the size of data stored in memory. These algorithms take raw data, analyze patterns within it, and encode it in a more compact form. The compressed data is then stored in a portion of RAM designated as a “compressed block device.” When the system needs to access the data, it decompresses it back to its original form.

The choice of compression algorithm directly impacts:

1. Compression Ratio: How much the data is reduced in size.
2. CPU Overhead: The computational resources required to compress and decompress data.
3. Latency: The time taken to compress and decompress data, which affects system responsiveness.
4. Memory Fragmentation: How efficiently the compressed data is stored in memory.

Now, let’s explore the most commonly used compression algorithms in ZRAM in detail.

1. LZ4

Overview

• Type: Fast compression algorithm.
• Developer: Yann Collet.
• Characteristics: LZ4 prioritizes speed over compression ratio. It achieves moderate compression ratios but excels in low-latency compression and decompression.

Key Features

• Speed: LZ4 is one of the fastest compression algorithms available. Its design minimizes CPU overhead, making it ideal for systems where performance is critical.
• Compression Ratio: Moderate (typically around 2:1 for general-purpose data).
• Use Case: Best suited for systems with limited CPU power or workloads that require fast access to compressed data, such as real-time applications or embedded systems.

Example Use Case

• A Raspberry Pi running a lightweight desktop environment can benefit from LZ4 because it reduces memory usage without significantly taxing the CPU.

Pros

• Extremely fast compression and decompression.
• Low CPU overhead.
• Predictable performance.

Cons

• Lower compression ratios compared to other algorithms like ZSTD.

2. ZSTD (Zstandard)

Overview

• Type: High-performance compression algorithm.
• Developer: Facebook (now Meta).
• Characteristics: ZSTD offers a wide range of compression levels, allowing users to balance between speed and compression ratio. At higher levels, it achieves excellent compression ratios but at the cost of increased CPU usage.

Key Features

• Compression Ratio: Excellent (up to 3:1 or higher for general-purpose data).
• Speed: Configurable. At lower levels, ZSTD is comparable to LZ4 in terms of speed. At higher levels, it sacrifices speed for better compression.
• Flexibility: ZSTD supports multiple compression levels (from 1 to 22), giving users fine-grained control over performance and efficiency.

Example Use Case

• A server running memory-intensive applications (e.g., databases or virtual machines) can use ZSTD at a moderate compression level to maximize memory savings without overwhelming the CPU.

Pros

• High compression ratios at higher levels.
• Configurable trade-off between speed and compression.
• Modern and actively maintained.

Cons

• Higher CPU overhead at higher compression levels.
• May not be suitable for systems with weak CPUs.

3. LZO (Lempel-Ziv-Oberhumer)

Overview

• Type: Fast compression algorithm.
• Developer: Markus Oberhumer.
• Characteristics: LZO is similar to LZ4 in that it prioritizes speed over compression ratio. However, it is slightly less efficient than LZ4 in terms of both speed and compression.

Key Features

• Speed: Very fast, though not as fast as LZ4.
• Compression Ratio: Moderate (similar to LZ4).
• Use Case: Suitable for legacy systems or environments where LZ4 is not available.

Example Use Case

• An older Linux distribution that does not support LZ4 might use LZO as a fallback option.

Pros

• Simple and reliable.
• Low CPU overhead.

Cons

• Slightly inferior to LZ4 in terms of performance and compression ratio.
• Less commonly used today due to the availability of better alternatives.

4. Deflate (via zlib)

Overview

• Type: General-purpose compression algorithm.
• Developer: Jean-loup Gailly and Mark Adler.
• Characteristics: Deflate is the algorithm used by gzip and zlib. It provides good compression ratios but is slower than LZ4 and LZO.

Key Features

• Compression Ratio: Good (better than LZ4 and LZO but worse than ZSTD).
• Speed: Slower than LZ4 and LZO, especially during decompression.
• Use Case: Rarely used in ZRAM due to its higher CPU overhead compared to modern alternatives.

Example Use Case

• Systems with abundant CPU resources and a need for better compression than LZ4 or LZO might consider Deflate.

Pros

• Well-established and widely supported.
• Good compression ratios.

Cons

• Higher CPU overhead.
• Slower than LZ4 and LZO.

5. LZ77 and LZ78 Variants

Overview

• Type: Foundational compression algorithms.
• Developer: Abraham Lempel and Jacob Ziv.
• Characteristics: LZ77 and LZ78 are the basis for many modern compression algorithms, including LZ4, ZSTD, and Deflate. They identify repeated patterns in data and replace them with references to earlier occurrences.

Key Features

• Compression Ratio: Varies depending on the implementation.
• Speed: Generally slower than specialized algorithms like LZ4.
• Use Case: Rarely used directly in ZRAM but forms the foundation for many other algorithms.

Example Use Case

• Research or custom implementations may experiment with LZ77/LZ78 variants.

Pros

• Fundamental to understanding compression theory.
• Flexible and adaptable.

Cons

• Not optimized for modern hardware.
• Outperformed by newer algorithms.

Choosing the Right Algorithm for Your Use Case

The choice of compression algorithm depends on your system’s hardware capabilities and workload requirements. Here are some guidelines:

For Speed-Critical Applications:

• Use LZ4 if you need minimal CPU overhead and fast compression/decompression.
• Avoid algorithms like ZSTD at high compression levels.

For Memory-Constrained Systems:

• Use ZSTD at moderate compression levels to achieve a balance between memory savings and CPU usage.
• Consider LZ4 if CPU resources are extremely limited.

For Legacy Systems:

• Use LZO or Deflate if newer algorithms like LZ4 or ZSTD are unavailable.

For Servers with High Memory Pressure:

• Use ZSTD at higher compression levels to maximize memory savings, provided the server has sufficient CPU resources.

Conclusion

The choice of compression algorithm is a critical factor in optimizing ZRAM’s performance. Each algorithm has its strengths and weaknesses, and the best choice depends on your specific use case. For most users, LZ4 strikes an excellent balance between speed and efficiency, while ZSTD offers superior compression ratios for systems with sufficient CPU resources.

By understanding the characteristics of these algorithms and experimenting with different configurations, you can tailor ZRAM to meet the unique demands of your system. Whether you’re managing a memory-constrained embedded device or a high-performance server, ZRAM’s flexibility ensures that you can find a solution that works for you.

The post The Role of Compression Algorithms in ZRAM appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

In the past, users with Linux/Unix accounts often relied on various tools such as at, setsid, nohup, screen, and tmux to manage their processes. However, with technological advancements, there is now a more sophisticated and effective process manager available: PM2.

What Is PM2?

PM2 is a modern solution that simplifies application management. It offers a range of features that make it a top choice for developers looking to ensure their applications run smoothly and continuously. PM2 is also compatible with various frameworks and environments, making it versatile for different application types.

Advantages of Using PM2

1. Start and Stop Processes: With PM2, you can easily manage your applications using simple commands. It supports various types of applications, whether they are Node.js, Python, Go, Java, or others. No more hassle of managing applications manually!
2. Keep Applications Alive: One of the best features of PM2 is its ability to automatically restart your applications if they crash. This means your applications will always be active and available for users.
3. Performance Monitoring: PM2 provides real-time metrics on CPU and memory usage, allowing you to optimize your applications more effectively. With this information, you can make better decisions to enhance your application’s performance.
4. Manage Clusters: PM2 makes it easy to scale your applications with built-in cluster support. You can run multiple instances of your application on a single server to maximize capacity and performance.
5. Compatibility: PM2 is compatible with various frameworks, such as Express, Koa, NestJS, and more, making it a flexible choice for developers across different environments.
6. Operating Systems Supported: PM2 runs seamlessly on multiple operating systems, including Linux, macOS, and Windows. This cross-platform support ensures that you can use PM2 in your preferred development environment without any issues.

Conclusion

Given these numerous advantages, it’s no surprise that PM2 has become the go-to choice for many developers to manage their applications. If you’re still using outdated tools like at or nohup, it might be time to consider switching to PM2. With PM2, you’ll experience a significant difference in how you manage your processes and applications.

So, if you’re looking for a modern and efficient process manager that supports various frameworks and operating systems, PM2 is the answer!

The post 🚀 PM2 Process Manager 🚀 appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.

Sila klik di sini untuk muat turun http://dl.dropbox.com/u/8414601/amateur%20radio/9M2PJU%20Apps/FTBasicMMOSetup.exe

The post Software Program Frekuensi Memory Yaesu FT817, FT857 Dan FT897 appeared on Hamradio.my - Amateur Radio, Tech Insights and Product Reviews by 9M2PJU.