Why Redis Streams and Lua? The Dynamic Duo Explained Before we get our hands dirty with code, let's break down why this combo is the Batman and Robin of rate limiting: * Redis Streams: Think...
TL;DR Optimizing Java apps for Kubernetes involves fine-tuning JVM settings, container resources, QoS classes, and eviction policies. We'll explore techniques to improve scheduling efficiency, avoid common pitfalls, and make your Java applications play...
TL;DR: Rust + Async = Job Queue on Steroids Rust's async runtime is like giving your job queue a shot of espresso mixed with rocket fuel. It allows for concurrent execution of tasks without the...
TL;DR We're going to build a scalable WebSocket backend using Redis Pub/Sub for message broadcasting and connection pooling to manage our resources efficiently. We'll walk through the implementation, run some...
What's the Big Deal with WebAssembly? Before we jump into the nitty-gritty, let's break down what WebAssembly actually is: * A low-level assembly-like language * Runs at near-native speed in web browsers * Complements JavaScript,...
The Open-Source Tsunami: By the Numbers Before we delve into the nitty-gritty, let's take a quick look at some mind-boggling stats: * 90% of Fortune 500 companies now rely on open-source software * Open-source contributions have...
What Are Virtual Threads, Anyway? Before we get into the nitty-gritty, let's break down what virtual threads actually are: * Lightweight threads managed by the JVM, not the OS * Can be created in large numbers...
The Need for Speed: Why Go Reactive? Let's face it: in today's world of microservices and distributed systems, your application is only as fast as its slowest HTTP call. Traditional blocking clients...
The Challenge: Real-Time Security Real-time communication is great, but it comes with its own set of security challenges. Unlike traditional REST APIs where each request is a separate entity, WebSockets and SSE maintain long-lived connections. This...
TL;DR Quarkus Mutiny offers powerful tools for handling errors in reactive streams. We'll explore patterns like retry, fallback, and circuit breaking, along with some advanced techniques to make your reactive code more resilient....
Why Go Reactive with MongoDB? Before we dive into the code, let's quickly address the elephant in the room: Why bother with reactive drivers when good old synchronous ones have served us well for...
TL;DR Implementing mTLS with Istio in Kubernetes provides end-to-end encryption for service-to-service communication, enhances security, and simplifies certificate management. It's like giving each of your services a secret handshake and a bulletproof vest....
Why Custom Extensions? Because We Can! Let's face it: off-the-shelf solutions don't always cut it. Sometimes, you need to roll up your sleeves and build something tailor-made. That's where custom...
Why Hazelcast? And Why Should You Care? Before we jump into the nitty-gritty, let's address the elephant in the room: Why Hazelcast? In the vast ocean of caching solutions, Hazelcast stands out as a...
TL;DR We'll cover advanced Quarkus configurations for Kafka consumers, including: * Optimal poll intervals and batch sizes * Smart commit strategies * Partition assignment tweaks * Deserialization optimizations * Error handling and dead letter queues By the end,...
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