Testing
Testing Against SLOs and SLAs: Error Budgets, Availability, and Reliability Verification
SLOs and SLAs describe what your system promises. Tests verify whether those promises hold.
Testing
SLOs and SLAs describe what your system promises. Tests verify whether those promises hold.
Testing
Resilience4j is the de-facto resilience library for Java applications, but most teams add it to production code and never actually verify it works. The circuit breaker is configured, the retry policy exists, and everyone feels safe — until a downstream service browns out and the circuit breaker stays closed because
Redis
Redis Cluster is the native horizontal scaling solution for Redis. It partitions data across multiple nodes using consistent hashing (16384 slots), with each node responsible for a subset. When a primary fails, a replica is promoted. This guide covers how to test cluster behavior—slot assignment, redirects, failover, and reconnection—
Testing
Most teams run chaos experiments the wrong way. They pick a failure mode — kill a pod, inject network latency — watch things break, declare the experiment "done," and learn nothing they couldn't have predicted. The output is a Slack message saying "yep, that broke things,"
Testing
Network faults are the most common source of distributed system bugs, and also the hardest to test. A unit test can stub a database call.
Testing
When the Netflix Chaos Monkey paper was published, it proved a point: you can deliberately break production systems and come out stronger.
Testing
A system that works under ideal conditions is not a reliable system—it is an untested one.
Testing
Netflix streams to over 230 million subscribers worldwide. When a server fails at 9 PM on a Friday, the engineers on call cannot afford to learn for the first time that their service cannot handle the outage. Chaos Monkey was born from this exact problem: a tool that randomly terminates