Resilient Operations & Chaos Engineering
Chaos engineering experiments, disaster recovery automation, advanced IaC with policy enforcement, and resilience testing.
Job to be done: When an incident occurs, I want a practiced playbook with clear roles and automated recovery steps, so the team restores service quickly without blame and systematically closes gaps discovered in the postmortem.
You will establish incident roles, automate runbook steps, create blameless postmortem templates that feed action items into your tracking system, and run drills to rehearse critical failure scenarios.
What you’ll implement
These are the roadmap epic features, organized as a starter backlog.
Execution guide
Practical guidance aligned to the Execution Kit Definition of Done.
Outcome
Incidents are handled predictably with clear roles, comms, runbooks, and learning loops.
Before to After Transformation
War-room chaos, unclear roles, hours to restore, blame-focused postmortems, same incidents repeat
# Before: Ad-hoc incident chaos
Incident response:
- Alert fires, everyone joins #incident channel
- 12 people typing, no clear leader
- "Who owns this service?" (no answer for 20 minutes)
- SSH to production servers to debug
- 3 hours to identify root cause
- 5 hours to restore service
Post-incident:
- Quick meeting: "Let's not do that again"
- No written postmortem
- Finger-pointing about who broke what
- Action items lost in Slack
- Same incident happens 6 weeks later
Problems:
- No practiced runbooks (every incident novel)
- Unclear command structure
- Customer comms delayed/missing
- No systematic learning
- Repeat incidents common
Metrics:
- MTTR: 5+ hours
- % incidents with postmortems: 30%
- Repeat incident rate: 40%
- Postmortem action completion: <20%Clear roles, automated runbooks, 15-minute MTTR, blameless postmortems with tracked action items
# After: Structured incident management
Incident response:
- Alert fires with runbook link
- Incident Commander (IC) assigned automatically
- IC follows playbook:
1. Assess severity (SEV1/2/3)
2. Assemble responders (paging oncall)
3. Execute runbook steps (mostly automated)
4. Update status page every 15 minutes
5. Customer comms via template
- 15 minutes to restore (rehearsed mitigation)
Post-incident:
- Automatic postmortem template created
- Blameless review within 48 hours
- Timeline auto-generated from incident log
- Action items tracked with owners and due dates
- Quarterly review of patterns
Benefits:
- Fast restoration (practiced runbooks)
- Clear accountability (no blame)
- Continuous improvement (actions tracked)
- Customer trust (transparent comms)
Metrics:
- MTTR: 15 minutes (automated runbooks)
- % incidents with postmortems: 100%
- Repeat incident rate: 8%
- Postmortem action completion: 85%Symptoms
Prerequisites
Implementation steps
- Adopt incident runbook template and comms cadence
- Define severity levels and IC role
- Create postmortem process
- Automate common runbook steps
- Run an incident simulation
- Create action item tracking
- Define DR drills cadence
- Integrate SLOs into incident reviews
- Publish incident metrics dashboard
Definition of Done
- Runbook template used
- Postmortems produce action items
- At least one game day executed
- Practice integrated into team workflow
- Practice integrated into team workflow
Metrics
- % incidents with postmortems
- On-call readiness checks
- MTTR
- Repeat incident rate
Failure modes
Ownership
- Own incident process
- Run drills
- Maintain runbooks
- Deliver action items
What good looks like (by org scale)
- Clear incident roles
- Simple comms cadence
- Regular drills
- Action items with SLAs
- Automated runbooks
- DR KPIs tied to SLOs
References
Resources
Templates and related materials for this kit.
Related capabilities
Capabilities tracked under this epic in the roadmap.
- Chaos Engineering Practices>= 60% of critical services undergo monthly chaos experiments (pod failures, network latency, resource exhaustion).
- Automated Disaster Recovery>= 80% of critical services have automated DR failover tested quarterly with RTO < 1hr and RPO < 15min.
- Circuit Breaker Patterns>= 75% of service-to-service calls protected by circuit breakers (Istio, Envoy, Resilience4j) preventing cascade failures.
- Adaptive Rate Limiting>= 80% of public APIs have adaptive rate limiting protecting against traffic spikes and abuse.
- Graceful Degradation Strategies>= 70% of services implement degraded mode (serve cached data, disable non-critical features) during dependency failures.
Related kits
Other kits in the same milestone or with similar DORA impact.