Chaos EngineeringMade Simple

RL-powered fault injection system that helps you build resilient applications through intelligent chaos experiments and comprehensive analysis.

How It Works
Simple 4-step process to Kubernetes chaos engineering
1

Upload YAML

Upload your Kubernetes configuration files for analysis

2

AI Analysis

Get vulnerability analysis and failure point recommendations

3

Plan Experiments

Review and execute intelligent Kubernetes fault injection plans

4

View Results

Analyze metrics and improve Kubernetes resilience

Kubernetes Chaos Engineering

Specialized fault injection for Kubernetes workloads and infrastructure

Pod Failures
Core Testing

Test pod termination, resource exhaustion, and container crashes to validate restart policies.

Pod Kill
CPU Stress
Memory Hog
Network Issues
Communication

Simulate network partitions, latency, and packet loss between Kubernetes services.

Network Loss
Latency
DNS Failure
Resource Limits
Performance

Test resource constraints and validate horizontal pod autoscaling behavior.

HPA
OOM Kill
Disk Fill

AI-Powered Analysis

Reinforcement learning algorithms identify optimal fault injection strategies

Kubernetes Native

Built specifically for Kubernetes environments with LitmusChaos integration

Research-Based

Final year project exploring intelligent chaos engineering methodologies

Ready to Start?

Begin your chaos engineering journey today

Get Started