//Chaos Engineering
Break things on purpose — before production does it for you.
Controlled fault-injection experiments that validate resilience, failover, and recovery across your distributed systems.
Distributed systems fail in ways no test plan fully predicts. Nodes die mid-deploy, dependencies time out, availability zones degrade, networks partition. The question is not if — it is whether your systems and teams are ready when it happens.
Our chaos engineering practice turns resilience from an assumption into evidence. We run hypothesis-driven experiments against steady-state metrics, inject realistic failure modes under strict blast-radius control, and convert every finding into hardening work.
The result: fewer Sev-1 surprises, validated recovery objectives, and teams that ship changes with confidence instead of hope.
-60%
typical Sev-1 incident frequency
100%
failover paths validated by evidence
Quarterly
game days embedded in delivery
What we ensure
- Steady-state definition and hypothesis-driven experiment design
- Failure-mode coverage — latency injection, node loss, dependency degradation, AZ outage
- Strict blast-radius control with automated abort and rollback
- Validated RTO / RPO against documented recovery objectives
- Game days that build muscle memory across engineering and ops
- Chaos maturity roadmap from first experiment to continuous verification
Capabilities under this practice
01
Chaos Strategy & Framework Design
A measurable chaos program aligned to error budgets and SLOs, with blast-radius control, experiment playbooks, and rollback guardrails.
02
Infrastructure & Cloud Chaos
Node, network, zone, and region failures on AWS Fault Injection Simulator, Azure Chaos Studio, and Gremlin — including auto-scaling and failover checks.
03
Application & Service-Level Chaos
Dependency timeouts, API rate limits, cache and database degradation, and circuit-breaker tests with LitmusChaos, Gremlin, and Chaos Mesh.
04
Observability & Feedback Loops
SLIs, logs, traces, and APM captured during every experiment, with blast-radius reporting back into SRE dashboards.
05
Continuous Chaos in CI/CD
Experiments triggered from Jenkins, GitHub Actions, and Azure DevOps, with policy approvals and a resilience scorecard before production.
Ready to make chaos engineering a strength?
Tell us about your landscape — we will respond within one business day with an honest assessment.