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Note: don’t install from the Google Play Store, it is a highly stripped-down version of the original The options present in my own priority order Download from GitHub releases Download using Fdroid download from GitHub releases Just go to GitHub releases , download the APK, and install it. We will see configuration steps later ! The only downside is you need to redownload on each release download using FDroid You can use Fdroid as package manager instead of Google play store Now download completed what’s next setup the nearest mirrors using termux-change-repo setup the storage using termux-setup-storage Do update and upgrade termux configure nearest mirrors Run termux-change-repo And it will scan all the nearest repos and configure the default one which is the nearest setup storage using termux-setup-storage It usually asks for some permissions and do some storage setup don’t remember what is actually do but used it to fix a problem some time ago do some PKG update and upgrade Run com...

Introduction A few months ago, I hit a snag during a critical deployment: bloated Docker images were slowing everything down. The long build times, sluggish deployments, and wasted storage were a constant headache. I decided to tackle the issue head-on and optimize the Docker images. The result? Faster deployments, reduced costs, and a lot of praise from my boss for improving the team's workflow. Here's how I did it and why it’s worth your effort. 🎯 The Benefits of Optimizing Docker Images Why did I focus on Docker image optimization? Here’s what I gained: ⚡ Faster Build Times : No more waiting forever for images to build. 🚀 Speedier Deployments : Shaving off minutes during deployments felt like magic. 💾 Storage Savings : Registry cleanup freed up gigabytes of space. 🛡️ Improved Security : A leaner image means fewer vulnerabilities. 🛠️ The Steps I Took 1️⃣ Switching to a Minimal Base Image Instead of using heavy base images like ubuntu:latest , I switched...

In the world of software development, communication between systems, especially distributed systems, is crucial. Whether it's for sending data over a network, storing information, or inter-process communication, the format of data exchanged plays a significant role in the efficiency and ease of use. One such data serialization format that has gained widespread popularity is Protocol Buffers (Protobuf) . 💾 What is Protocol Buffers? 🤔 Protocol Buffers, commonly known as Protobuf , is a lightweight and language-neutral data serialization format developed by Google. It allows for the efficient and structured representation of data, making it an excellent choice for communication between services, storing data in files, or for persistent data formats. Protobuf works by defining data structures in a language-agnostic way, and then compiling these definitions into source code that can be used across various programming languages such as Java, C++, Python, and more. 🌐 Why Should Y...

For years, Redis has been the go-to solution for high-performance caching, session storage, and real-time data management 🚀. Its open-source nature, coupled with a powerful set of features, has made it an integral part of countless applications. However, recent developments have raised eyebrows, especially among service providers and businesses that rely on Redis for production environments 🔐. Redis has shifted towards a more closed-source licensing model for certain advanced features and modules, especially with the Redis Stack (which includes RedisGraph, RedisAI, RediSearch, and more) 🔒. This change means that some of Redis's most powerful tools are now restricted under a commercial license, requiring service providers to either pay for a commercial license 💰 or comply with new usage restrictions. This shift is leaving many service providers and developers seeking an open-source alternative that doesn’t come with these limitations. Enter DiceDB : a Redis-compatible , ...

  Decoupling APIs Using Message Queues: Building Fault-Tolerant Applications 🚀 In the fast-paced world of modern software 🌐, seamless communication between services is a cornerstone of effective system design. However, what happens when your API sends a request, and the server at the other end is busy—or worse, the request gets dropped? 😱 It’s a scenario many developers dread, but with proper design patterns, you can make your applications robust and fault-tolerant. One of the most powerful tools to address this challenge is Message Queues (MQs) 📨. In this blog, we’ll explore how decoupling APIs using MQs can transform your application into a more resilient system 💪. The Problem: Busy Servers and Dropped Requests ❌ In traditional client-server architecture, a client sends a request to the server, and the server processes it synchronously. This works fine until: The server is overwhelmed : High traffic spikes 📈 can cause bottlenecks. Requests are time-sensitive : A de...

Docker is a fantastic tool for containerizing applications, allowing developers to package their software along with dependencies into lightweight, portable containers. These containers can run consistently across different environments, making Docker ideal for development, testing, and deployment. However, over time, unused images, containers, volumes, and networks can pile up, consuming significant disk space. If you’re encountering a "no space left on device" error or simply want to free up space, Docker provides several prune commands to help with cleanup. Let’s dive into each of these commands and how to use them effectively. 🎉 1. docker image prune 🖼️ This command removes dangling images. Dangling images are layers that are no longer tagged or associated with a container. Usage: docker image prune To remove unused images (not just dangling ones), use the -a flag: docker image prune -a Pro Tip: Combine the -a flag with filters for more control, like: dock...