Resilience Scorecards

experiment_results:
  tracking:
    - experiment: "Pod kill recovery"
      service: "user-api"
      date: "2024-01-15"
      result: "PASS"
      recovery_time: "30 seconds"
      notes: "Pod recovered within expected timeframe"

    - experiment: "Database failover"
      service: "user-api"
      date: "2024-01-22"
      result: "FAIL"
      failure_reason: "Connection pool not reconnected after failover"
      action_item: "AI-001: Implement connection pool refresh on failover"

    - experiment: "Circuit breaker activation"
      service: "payment-service"
      date: "2024-02-01"
      result: "PASS"
      notes: "Circuit breaker opened within 10 seconds"

  metrics:
    - name: "Experiment Pass Rate"
      formula: "passed_experiments / total_experiments"
      target: "> 90%"

    - name: "Mean Recovery Time"
      formula: "avg(recovery_time)"
      target: "< 60 seconds"

    - name: "Experiments Conducted"
      formula: "count(experiments this quarter)"
      target: "> 10 per service"

control_gaps:
  categories:
    detection:
      - "No alert for database connection pool"
      - "No alert for certificate expiry"
      - "No health check for downstream service"

    prevention:
      - "No circuit breaker for database connections"
      - "No rate limiting for API endpoints"
      - "No capacity limits for queue depth"

    recovery:
      - "No automated rollback for failed deploys"
      - "No failover procedure for database"
      - "No backup restoration test"

  prioritization:
    high_priority:
      - "Gaps that have caused incidents"
      - "Gaps affecting critical services"
      - "Gaps with no workaround"

    medium_priority:
      - "Gaps affecting non-critical services"
      - "Gaps with workarounds available"

    low_priority:
      - "Gaps in low-traffic services"
      - "Gaps with minimal impact"

  tracking:
    - "Record gaps identified during experiments"
    - "Assign priority and owner"
    - "Track remediation progress"
    - "Review gap status monthly"

maturity_ratings:
  level_1_initial:
    name: "Initial"
    criteria:
      - "Basic monitoring in place"
      - "Manual deployment process"
      - "Runbook exists but untested"
      - "No chaos experiments conducted"
    score: 1

  level_2_managed:
    name: "Managed"
    criteria:
      - "SLOs defined and monitored"
      - "Automated deployment with rollback"
      - "Runbook tested quarterly"
      - "Basic chaos experiments conducted"
    score: 2

  level_3_defined:
    name: "Defined"
    criteria:
      - "Error budget policy enforced"
      - "Canary deployments with analysis"
      - "Runbook tested monthly"
      - "Regular chaos experiments"
      - "Circuit breakers and rate limiting"
    score: 3

  level_4_quantitatively_managed:
    name: "Quantitatively Managed"
    criteria:
      - "Multi-window burn rate alerting"
      - "Automated rollback on SLO violation"
      - "Self-healing controllers"
      - "Comprehensive chaos experiments"
      - "Capacity auto-scaling"
    score: 4

  level_5_optimizing:
    name: "Optimizing"
    criteria:
      - "Predictive scaling"
      - "Chaos engineering in production"
      - "Continuous resilience improvement"
      - "Zero manual intervention for common failures"
      - "Industry-leading reliability"
    score: 5

reliability_roadmap:
  inputs:
    - "Current maturity ratings per service"
    - "Control gaps identified"
    - "Experiment failure patterns"
    - "Incident recurrence data"
    - "Team capacity and skills"

  prioritization:
    - "Focus on services with lowest maturity scores"
    - "Address control gaps that caused recent incidents"
    - "Invest in highest-impact improvements first"

  quarterly_planning:
    Q1:
      focus: "Observability and monitoring gaps"
      actions:
        - "Implement standard metrics for all services"
        - "Add missing alerts"
        - "Conduct chaos experiments for top 5 services"

    Q2:
      focus: "Deployment safety"
      actions:
        - "Implement canary deployments for all critical services"
        - "Add automated rollback"
        - "Conduct rollback drills"

    Q3:
      focus: "Capacity and autoscaling"
      actions:
        - "Implement autoscaling for all services"
        - "Add capacity monitoring"
        - "Conduct load tests"

    Q4:
      focus: "Advanced resilience"
      actions:
        - "Implement circuit breakers"
        - "Conduct production chaos experiments"
        - "Achieve target maturity levels"

## Resilience Scorecard: [Service Name]

### Rating: [1-5] ([Level Name])

### Experiment Results
| Experiment | Last Run | Result | Recovery Time |
|------------|----------|--------|---------------|
| Pod kill | [date] | PASS/FAIL | [time] |
| Network latency | [date] | PASS/FAIL | [time] |
| DNS failure | [date] | PASS/FAIL | [time] |
| Disk full | [date] | PASS/FAIL | [time] |

### Control Gaps
| Gap | Priority | Owner | Status |
|-----|----------|-------|--------|
| [gap] | High/Med/Low | [name] | Open/In Progress/Closed |

### Maturity Criteria
- [ ] SLOs defined and monitored
- [ ] Automated deployment with rollback
- [ ] Runbook tested quarterly
- [ ] Circuit breakers implemented
- [ ] Capacity auto-scaling

### Action Items
| ID | Title | Owner | Due |
|----|-------|-------|-----|
| [id] | [title] | [name] | [date] |

### Next Review Date: [date]