Chaos Engineering
Showing 20 of 20 projects
A resiliency tool that randomly terminates production instances to test and improve service fault tolerance.
A .NET resilience and transient-fault-handling library for expressing policies like Retry, Circuit Breaker, and Timeout in a fluent, thread-safe manner.
A TCP proxy for simulating network failures and latency to test application resiliency in development and CI environments.
A tool to simulate common network problems like latency, bandwidth restrictions, and packet loss for testing distributed systems.
A lightweight, multi-platform email and SMTP testing tool with a web UI and API for developers.
A suite of tools for ensuring cloud resilience and operational efficiency, including Chaos Monkey for random instance failure testing.
A curated list of Chaos Engineering resources, including tools, books, papers, and educational materials.
An open-source chaos engineering platform for SREs and developers to test cloud-native system resilience.
Chaos testing and network emulation tool for Docker and containerd containers.
A hackable HTTP proxy for resiliency testing, simulating network failures and unexpected conditions in Node.js.
A CLI-driven toolkit for writing and running Chaos Engineering experiments across any platform via extensions.
A proxy tool for chaos engineering that simulates real-world distributed system failures to test application resilience.
A harmful workload generator for PostgreSQL that simulates various database stress scenarios for testing purposes.
A Go HTTP middleware library for injecting faults like latency, errors, and request rejection into services for resilience testing.
An Objective-C testing framework for altering object behaviors to test app resilience through controlled chaos.
A single-binary mock server supporting HTTP, WebSocket, gRPC, MQTT, SSE, GraphQL, and SOAP protocols.
A k6 extension for injecting faults into Kubernetes applications to test system reliability through chaos engineering.
A Java agent that dynamically injects failures and latency at the bytecode level to reproduce production issues.
A curated collection of tools and resources for performance engineering, covering observability and performance testing.
An Ember addon that uses service workers to randomly inject 5xx errors into API requests to test application failure tolerance.
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