Chaos Engineering
Toxiproxy sits between your application and a downstream service and injects network problems: latency, bandwidth limits, dropped connections, slow responses, and timeouts. Unlike infrastructure-level chaos tools, Toxiproxy works at the TCP level and is easy to control programmatically — making it ideal for integration tests that need to verify how your
Chaos Engineering
Steadybit is a reliability testing platform that combines chaos engineering with automated discovery of your system topology. It maps your running services, detects their dependencies, and suggests reliability experiments based on what it finds. Where other chaos tools require you to know exactly what to target, Steadybit helps you discover
Chaos Engineering
Pumba is a chaos testing tool for Docker containers. It kills containers, pauses them, and injects network failures using Linux tc (traffic control) — directly on your Docker host or inside Docker Compose environments. If you run microservices locally with Docker Compose or test in Docker-based CI environments, Pumba is the
Chaos Engineering
LitmusChaos is a CNCF-graduated chaos engineering platform built natively for Kubernetes. It uses Kubernetes-native custom resources to define, run, and observe chaos experiments — no external tools, no sidecars, no proprietary agents. Chaos experiments are just YAML that runs in your cluster like any other workload. Why Chaos Engineering on Kubernetes
Chaos Engineering
Chaos Toolkit is an open-source chaos engineering tool that defines experiments as declarative JSON or YAML files. Each experiment specifies a steady-state hypothesis (what "normal" looks like), a set of fault-injection actions, and rollback activities. Chaos Toolkit verifies your hypothesis before chaos, injects faults, then verifies the hypothesis
Chaos Engineering
AWS Fault Injection Simulator (FIS) is AWS's managed chaos engineering service. It runs fault injection experiments against your AWS resources — EC2 instances, ECS tasks, RDS clusters, EKS pods, and more — without requiring agents or sidecar processes. Experiments are defined as templates in AWS, run on a schedule or
SRE
Chaos engineering is the practice of deliberately introducing failures into a system to discover weaknesses before they cause incidents. Netflix coined the term with Chaos Monkey — a tool that randomly terminates EC2 instances to force engineers to build resilient services. For Kubernetes workloads, Litmus Chaos has become the most widely