Fault Injection Design
CPU throttle, memory pressure, network latency, packet loss, and kill-pod experiments tailored to your architecture.
Deliberately break things in a controlled environment before production does it for you. Structured fault injection, blast-radius management, and CI/CD-integrated resilience testing.
From first game day to automated resilience pipelines.
CPU throttle, memory pressure, network latency, packet loss, and kill-pod experiments tailored to your architecture.
Chaos Mesh, Litmus, and pod disruption budgets for Kubernetes multi-tenant environments — including SSO and identity platforms.
Define measurable steady state with Prometheus/Grafana/Datadog before any experiment so deviations are quantifiable.
Automated chaos scenarios that run on every release candidate and fail the build if resilience regressions are detected.
Incident response runbooks for each fault class discovered during experiments — so your on-call team is never caught off guard.
Hands-on workshop: chaos engineering principles, GameDay facilitation, and building a culture of proactive reliability.
Chaos engineering is the practice of deliberately injecting failures into a system to discover weaknesses before they cause production incidents. It builds real confidence that your systems will survive unexpected conditions.
We follow the Principles of Chaos Engineering: define steady state, form a hypothesis, run experiments in controlled blast radius, observe, and learn. Every experiment starts small — a single instance, a single service — before expanding scope.
Gremlin (for cloud infrastructure), Chaos Mesh and Litmus (for Kubernetes), and custom eBPF-based network fault injection for low-level scenarios. Tool choice depends on your stack and blast radius requirements.
Yes. Lightweight game days and automated resilience tests can run on every release candidate. We help define the right subset of chaos scenarios that are safe to automate versus those that need human oversight.
A prioritised weakness register, runbooks for each fault class, automated chaos test scripts, and a steady-state observability baseline — so your team can repeat experiments autonomously.
Book a chaos engineering session or reach out to scope a full resilience engagement.