Chaos Engineering
Proactive resilience testing and fault injection
We embrace chaos to build confidence. JustKalm's chaos engineering practices ensure our systems remain resilient under unpredictable conditions.
Resilience Metrics
Chaos engineering program outcomes
500+
Experiments Run
47
Issues Found
99.95%
Recovery Rate
<30s
MTTR
Chaos Engineering Philosophy
Build Confidence
- Validate system behavior
- Verify recovery procedures
- Test monitoring accuracy
- Build muscle memory
Find Weaknesses
- Hidden dependencies
- Cascade failures
- Resource exhaustion
- Timeout configurations
Improve Resilience
- Strengthen weak points
- Add circuit breakers
- Improve observability
- Refine runbooks
Fault Injection Categories
Types of failures we simulate
Infrastructure
- • Node termination
- • Network partition
- • Disk failure
- • CPU stress
Application
- • Exception injection
- • Memory leak
- • Thread exhaustion
- • Process kill
Latency
- • Response delays
- • Packet loss
- • DNS delays
- • Bandwidth throttle
Dependencies
- • Database outage
- • Cache failure
- • API timeouts
- • Queue backpressure
Chaos engineering practices based on Netflix Chaos Monkey and Gremlin principles