7. Deployment & Operations

7.1 Environment Strategy

Env	Purpose	Data Isolation	Compliance Level	Notes
dev	Developer testing	Shared	Low	Rapid iteration, resettable
staging	Pre-prod validation	Per-tenant	Moderate	Near-prod config, test data
prod	Production	Per-tenant	High	Full compliance, audit logs
sandbox	Customer demos/trials	Per-tenant	Moderate	Isolated, short-lived

7.2 CI/CD Pipeline

stages:
  - name: lint
    tools: [ruff, mypy, eslint]

  - name: test
    parallel:
      - unit_tests: pytest --cov=80
      - integration_tests: pytest tests/integration
      - security_scan: trivy, snyk

  - name: build
    artifacts:
      - docker_images: gcr.io/cortx-platform/*
      - helm_charts: charts/*

  - name: deploy
    environments: [dev, staging, prod]
    approval_required: [staging, prod]

7.3 Observability

Metrics (Prometheus):

Request rate, latency (p50, p95, p99)
Error rate (4xx, 5xx)
Pack execution duration
AI inference latency
Database connection pool

Dashboards (Grafana):

Platform health overview
Per-tenant usage metrics
Compliance audit metrics
Cost attribution (GCP billing)

Alerts (Cloud Monitoring):

Error rate >1% (5min window)
Latency p99 >1000ms
Database connections >80%
Failed compliance checks

7.4 Incident Response

Runbook:

Detection: Automated alerts via PagerDuty
Triage: On-call engineer assesses severity
Mitigation: Rollback, scale, failover
Resolution: Root cause analysis
Post-Mortem: Document lessons learned

SLA Targets:

P0 (Platform down): 15min response, 1hr resolution
P1 (Suite degraded): 1hr response, 4hr resolution
P2 (Feature issue): 4hr response, 24hr resolution

7.5 Platform Metrics & Success Criteria

Metric	Target	Current	Status
Test coverage	≥85%	78%	🚧 In progress
API latency (p99)	<500ms	342ms	✅ Met
Platform uptime	99.9%	99.87%	🚧 Close
AI accuracy	≥95%	96.3%	✅ Met
Pack execution	<30s/1M records	18s	✅ Met