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Use OAuth 2.0 with JWT tokens. Store refresh tokens securely. Implement rate limiting.
Step 1: Configure OAuth provider with client credentials.
Step 2: Set up token endpoints: /auth/login, /auth/refresh.
Step 3: Implement middleware for token validation.
Step 4: Add refresh token rotation for security.
Index frequently queried columns. Use connection pooling. Cache common queries.
Indexing: Create B-tree indexes on foreign keys.
Pooling: Configure PgBouncer for PostgreSQL.
Caching: Use Redis with 15-minute TTL.
Monitoring: Track query performance with EXPLAIN ANALYZE.
Use sliding window algorithm. Store counters in Redis. Set appropriate limits per tier.
Algorithm: Sliding window with 1-minute precision.
Storage: Redis sorted sets for O(log n) lookup.
Limits: Free: 100/min, Pro: 1000/min, Enterprise: custom.
Headers: Return X-RateLimit-Remaining on every request.
Pub/sub with Redis. Event sourcing for audit logs. Retry logic with exponential backoff.
Broker: Redis Pub/Sub for real-time events.
Persistence: Event store in PostgreSQL for replay.
Retries: Exponential backoff: 1s, 2s, 4s, 8s, 16s max.
Dead Letter: Failed events go to DLQ for inspection.
Metrics with Prometheus. Alerts with Grafana. Logs with ELK stack. Distributed tracing.
Metrics: Expose /metrics endpoint for Prometheus scraping.
Visualize: Grafana dashboards with pre-built panels.
Logs: Centralize in Elasticsearch, search with Kibana.
Tracing: OpenTelemetry for distributed request tracking.
CI with GitHub Actions. CD with ArgoCD. Blue-green deployments. Automated rollback.
CI: Run tests, lint, build image on push to main.
CD: ArgoCD syncs Git repo to Kubernetes cluster.
Strategy: Blue-green deployment with instant rollback.
Health: Readiness and liveness probes on all services.