Operational Playbook Blocks
Use these blocks in Architecture Blueprints, Operational Playbooks, and Incident Deep Dives.
Real Production Incident Block
Scenario
- Failure Type:
- Service Area:
- Severity:
Symptoms
- Include user-facing and internal symptoms.
Root Cause
- Explain technical trigger and compounding factors.
Blast Radius
- Scope by tenant, region, and dependent systems.
How Engineers Detect This
- Metrics:
- Dashboards:
- Alerts:
- Tracing:
- Logs:
- Thresholds:
Mitigation Strategy
- Immediate containment steps.
Prevention Strategy
- Long-term guardrails and architecture changes.
On-Call Response Flow Block
- Alert triggered
- Telemetry correlation
- Fault domain isolation
- Traffic or dependency containment
- Failover or rollback
- Service recovery validation
- Postmortem and hardening tasks
Scaling Breakpoints Block
1k users
- Architecture shape:
- Bottleneck risks:
- Minimum observability:
100k users
- Architecture evolution:
- New operational complexity:
- New SLO requirements:
Enterprise scale
- Governance and team ownership:
- Reliability and compliance controls:
Multi-region scale
- Routing strategy:
- Data consistency strategy:
- Disaster recovery expectations:
Cost Failure Patterns Block
For each cost risk include:
- Failure pattern
- Trigger signal
- Budget impact
- Detection metric
- Control policy
Common patterns:
- Embedding explosion
- Token amplification
- Unbounded retries
- Oversized context windows
- Observability storage growth
- Inference overprovisioning
Startup Pitfalls Block
Common startup errors to document:
- Premature complexity
- Missing observability
- No rollback systems
- No cost controls
- Weak telemetry discipline
- Single-provider dependency
- No incident readiness
For each pitfall include practical fix steps.
Production Evolution Journey Block
Phase 1: Simple MVP Phase 2: Observability added Phase 3: Gateway introduced Phase 4: Multi-provider routing Phase 5: Enterprise governance
Explain what changes operationally at each phase.
Day-2 Operations Block
Include explicit approach for:
- Upgrades and rollout safety
- Deployment verification
- Rollback execution
- Telemetry drift control
- Schema migration
- Vector reindexing
- Prompt governance updates
- Provider switching
Observability-First Narrative Rule
In every block, answer:
- What can we measure?
- What threshold indicates risk?
- How quickly can on-call detect it?
- What data confirms recovery?
If these questions are unanswered, the content is not publish-ready.