Programming

Chaos engineering means injecting real failures into production systems to discover weaknesses before an incident occurs. This article explains its principles, shows examples with Chaos Mesh, and compares the most popular tools to get started today.

Apache Kafka is no longer just a message queue: today it’s the distributed log that synchronizes microservices at companies like Netflix and Uber. Here we explain its partitions, offsets, and consumer groups with real Node.js code.

MVCC is the mechanism that lets a SELECT query never wait for an UPDATE in progress: PostgreSQL, MySQL, and even SQLite use it to separate readers from writers. This guide explains how it works under the hood, with code examples, SQL isolation levels, and the most common mistakes when working with concurrent transactions.

A gossip protocol is the mechanism Cassandra, Consul, and Redis Cluster use so thousands of nodes know who’s alive, without relying on a central coordinator. Here we explain how it works, with Python code and a real Consul cluster.

Two-phase commit is the protocol distributed databases use to confirm a transaction across multiple nodes at once, without leaving data half-written. This guide shows how to implement it with PostgreSQL, its known failure modes, and when it makes sense to replace it with Sagas or distributed consensus.

Every time you type a URL, your device triggers a chain of DNS queries across several servers before it gets an IP address. We show what happens at each step, what record types exist, and how to diagnose resolution issues with dig and nslookup.