⏱ 8 min read The system design interview evaluates your ability to design large-scale systems under ambiguity. Unlike coding interviews with a single correct […] Read article

⏱ 9 min read How microservices communicate with each other determines the reliability, latency, and coupling of the overall system. This guide covers the Read article

⏱ 9 min read Database sharding is the technique of distributing data across multiple database instances to handle datasets and query volumes that exceed Read article

⏱ 9 min read Event-driven architecture (EDA) is the backbone of modern distributed systems. Instead of services calling each other synchronously, they communicate by Read article

⏱ 9 min read Observability is the ability to understand the internal state of a system by examining its external outputs. The three pillars Read article

⏱ 9 min read Kubernetes is the de facto standard for container orchestration, running production workloads at companies from startups to Google. Understanding its Read article

⏱ 9 min read Distributed consensus is the foundation that makes distributed systems reliable. Every replicated database, every coordination service, and every distributed lock Read article

⏱ 8 min read Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) form the foundation of modern reliability engineering. Read article

⏱ 9 min read Chaos engineering is the discipline of experimenting on a production system to build confidence in its ability to withstand turbulent Read article

⏱ 8 min read Zero-downtime deployment ensures users experience no interruption when new code is released. This is a requirement for any production system Read article

⏱ 8 min read Database schema migrations are one of the riskiest operations in production systems. A poorly executed migration can lock tables for Read article

⏱ 9 min read API design is the interface contract between your service and its consumers. Poor API design creates friction, breaking changes, and Read article