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    Resilient Operations & Chaos Engineering

    Chaos engineering experiments, disaster recovery automation, advanced IaC with policy enforcement, and resilience testing.

    Milestone: Acceleration
    intermediate
    MTTR
    CFR

    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.

    For engineers

    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.

    1
    Chaos Engineering Practices
    2
    Automated Disaster Recovery
    3
    Circuit Breaker Patterns
    4
    Adaptive Rate Limiting
    5
    Graceful Degradation Strategies

    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

    × BEFOREChaotic incident response, no learning loops

    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%
    AFTERStructured incident response with continuous learning

    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

    Ad-hoc incident response
    Slow restoration
    Blame-heavy postmortems

    Prerequisites

    Basic monitoring/alerting
    On-call ownership
    Team commitment to continuous improvement

    Implementation steps

    Week 1
    • Adopt incident runbook template and comms cadence
    • Define severity levels and IC role
    • Create postmortem process
    Week 2
    • Automate common runbook steps
    • Run an incident simulation
    • Create action item tracking
    Week 3
    • 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

    Leading Indicators
    • % incidents with postmortems
    • On-call readiness checks
    Lagging Indicators
    • MTTR
    • Repeat incident rate

    Failure modes

    Postmortems become performative
    No follow-through on actions
    Runbooks not kept current

    Ownership

    SRE/Operations
    • Own incident process
    • Run drills
    Teams
    • Maintain runbooks
    • Deliver action items

    What good looks like (by org scale)

    Small Teams
    • Clear incident roles
    • Simple comms cadence
    Medium Orgs
    • Regular drills
    • Action items with SLAs
    Enterprise
    • Automated runbooks
    • DR KPIs tied to SLOs

    References

    PagerDuty Incident Response

    Resources

    Templates and related materials for this kit.

    Templates
    Copy/paste artifacts that support this kit.
    Game Day Plan
    A template for running a game day: objectives, scenarios, comms, and learning outcomes.
    Incident Review (Blameless Postmortem)
    A blameless incident review template that produces actionable follow-ups and learning.
    Incident Runbook
    A standard incident template: triage, comms, mitigation, and post-incident actions.
    On-Call Rotation Setup
    A template for establishing and documenting on-call rotations with escalation paths.
    SLO / SLI Template
    A practical template for defining SLOs, SLIs, and error budgets with rollout guidance.

    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.

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    Advanced Testing & Performance Validation
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    CFR
    LT
    Progressive Delivery & Advanced Deployment
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    DF
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    Secure & Performant Build Pipelines
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    DF
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