Before we dive into the nitty-gritty of implementing a backend for homomorphic encryption, let's break down what it actually is and why it's causing such a stir in the cryptography community. Homomorphic...

For those of you with attention spans shorter than a goldfish (no judgment here), here's the gist: Dapr (Distributed Application Runtime) and Kubernetes sidecars team up to simplify your distributed systems, making background job...

We're going to build a backend that combines the power of Large Language Models (LLMs) with the precision of vector databases using LangChain. The result? An API that can understand context, retrieve relevant information,...

The Real-Time Conundrum Real-time updates are the lifeblood of modern web applications. Whether you're tracking stock prices, monitoring system health, or just trying to keep your users in the loop, the ability to push...

TL;DR: QUIC and HTTP/3 - The Speed Demons You Didn't Know You Needed QUIC and HTTP/3 are the latest transport and application layer protocols that promise faster, more reliable connections. They&...

Why Rate Limiting? Because Sharing is Caring (But Not Too Much) Before we roll up our sleeves and get our hands dirty with code, let's talk about why rate limiting is the superhero your...

TL;DR: HTTPS Isn't as Unbreakable as We Thought For those who like their tech news in bite-sized chunks: * Rowhammer attacks can exploit physical properties of DRAM to flip bits * Even ECC memory, once...

The NUMA Conundrum Before we jump into the nitty-gritty of scheduler tuning, let's set the stage. Non-Uniform Memory Access (NUMA) architectures have become the norm in modern server hardware. But here's the...

TL;DR We're going to explore how to implement a Byzantine Fault-Tolerant version of Kafka using Tendermint Core. We'll cover the basics of BFT, why it matters for distributed systems like Kafka,...

TL;DR: SMT Solvers to the Rescue SMT (Satisfiability Modulo Theories) solvers, particularly Z3, can be leveraged to optimize CI/CD pipelines by efficiently resolving complex dependency conflicts. By modeling your dependency graph as a set...

TL;DR: Idempotency Is Your New Best Friend Idempotency ensures that an operation, when repeated, doesn't change the system's state beyond the initial application. It's crucial for maintaining consistency in...

TL;DR Microservices are great until they're not. Scale them right, or watch your system implode spectacularly. We'll dive into practical strategies that kept our services humming through the chaos of 2025....

The CronJob Conundrum Before we jump into the good stuff, let's set the stage. Kubernetes CronJobs are fantastic for running scheduled tasks, but they come with their own set of challenges: * Ensuring idempotency (because...

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...