LitmusChaos
Cloud-Native Chaos Engineering for Resilient Kubernetes Environments.
Gullfoss AI is a state-of-the-art performance engineering platform designed for the 2026 microservices landscape. It utilizes a proprietary 'Hydra-LLM' architecture to analyze system telemetry and automatically generate high-fidelity synthetic workloads that mirror actual human behavior. Unlike legacy tools that require manual script maintenance, Gullfoss employs autonomous agentic workflows to update test cases in real-time as application code evolves. Its primary innovation lies in 'Intent-Based Testing'—where engineers specify desired outcomes (e.g., 'Ensure checkout can handle 5x traffic with sub-200ms latency') and the AI autonomously provisions infrastructure, executes stress tests, and identifies precise architectural bottlenecks. By integrating directly into CI/CD pipelines, Gullfoss provides predictive insights into how new code commits will impact global system stability, reducing production outages by a projected 40%. It serves as a critical bridge between development and operations, ensuring that scalability is not just an afterthought but a continuous, automated metric.
Uses generative adversarial networks (GANs) to evolve test scripts that specifically target weaknesses found in system logs.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Natural language processing layer that converts 'Check if the login flow breaks under 10k users' into executable YAML scripts.
Simulates traffic spikes to verify if Kubernetes Horizontal Pod Autoscalers (HPA) trigger correctly before a real event.
Dynamically spins up load generators across multiple cloud regions to test global latency and CDN performance.
Automatically correlates performance degradation during tests with specific Git commits or configuration changes.
Estimates the cloud infrastructure cost of handling the simulated traffic in a real-world scenario.
Uses AI to inject malformed data and edge-case payloads into API endpoints under heavy load.
Website crashing during high-volume sales events due to unpredicted database locks.
Registry Updated:2/7/2026
Apply the recommended index change and re-test.
Ensuring a move from a monolith to microservices doesn't introduce circular dependencies and high latency.
Preventing 'death by a thousand cuts' where small latency increases accumulate over time.