Best Chaos Engineering Tools for Linux

AI bug repair from real production traffic, run entirely in your cloud. Speedscale captures HTTP, gRPC, and SQL traffic via eBPF inside your Kubernetes cluster. Production payloads never leave your perimeter. When a failure occurs: the capture agent records the exact request, a triage agent classifies it, a reproduction agent replays it against your codebase, and a validation agent verifies the fix before the PR opens. Fully autonomous or human-gated. You supply the cloud, storage, and AI models (Anthropic, Llama, or your own). Speedscale orchestrates the loop with no cloud, model, or storage lock-in. proxymock: free CLI giving AI coding agents (Claude Code, Cursor, Copilot) real production context via MCP. No signup required. Meets PCI and HIPAA data-residency requirements. Used by Home Depot, IHG, FLYR, Cimpress/Vistaprint, Navitaire, and Ascension Health.

Overcome downtime to maintain customer trust. NetHavoc can change performance engineering and qualitative delivery on a massive scale. Deal with uncertainty before it causes obstacles in real-time. NetHavoc breaks the application infrastructure on purpose to create chaos in a controlled environment. Chaos engineering defines a strategy to witness how an application behaves with failures and make it more potent. The objective is to ensure application infrastructure is resilient in production with the early investigation. Discover the vulnerability of the application. Expose hidden threats and lessen uncertainties. Prevent breakdown influencing user-facing problems. Consume CPU cores or utilization. Validate real-time use cases by injecting various types of havoc, n number of times on the Infrastructure layer. Seamlessly interject havocs using the API and agentless approach. Specify either a specific time or define a random time range for applying havocs.