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Operations & Maintenance Patterns
Production operations and system maintenance patterns for AI coding assistants.
Core Operations Patterns
Performance & Scaling
- • Performance at Scale - Handling enterprise load
- • Performance Tuning - Optimization strategies
- • Parallel Tool Execution - Concurrent processing
- • Token usage optimization
Deployment & Monitoring
- • Deployment Guide - Production deployment patterns
- • Observability and Monitoring - System visibility
- • Lessons Learned - Production insights
- • Blue-green and canary deployments
Reliability Patterns
- • Circuit breakers and retry mechanisms
- • Graceful degradation strategies
- • Disaster recovery planning
- • Health checks and failover
Cost Optimization
- • Caching strategies for performance
- • Request batching and optimization
- • Model selection for cost/performance
- • Resource usage monitoring
Operational Excellence Framework
Deployment Strategies
Blue-green deployments for zero downtime
Canary releases for gradual rollouts
Feature flags for controlled releases
Automated rollback procedures
Monitoring & Alerting
Key performance indicators tracking
Error tracking and analysis
Usage analytics and patterns
Cost monitoring and optimization
Maintenance Procedures
Upgrade strategies and planning
Data migration procedures
Backup and recovery protocols
Incident response procedures
Performance Optimization Strategies
Caching
- • Response caching
- • Model output caching
- • Database query caching
- • CDN distribution
Scaling
- • Horizontal scaling
- • Load balancing
- • Auto-scaling policies
- • Resource optimization
Monitoring
- • Real-time metrics
- • Performance alerts
- • Usage analytics
- • Cost tracking
Operations Best Practices
✓ Do
- • Implement comprehensive monitoring and alerting
- • Use infrastructure as code for consistency
- • Automate deployments and rollbacks
- • Plan for disaster recovery scenarios
- • Monitor costs and optimize regularly
- • Document operational procedures
✗ Don't
- • Deploy without proper testing
- • Ignore performance degradation
- • Skip backup and recovery testing
- • Overlook security in operations
- • Deploy breaking changes without rollback plans
- • Neglect cost optimization
Critical Operations Alerts
Production Readiness Checklist
- Comprehensive monitoring and logging in place
- Automated deployment pipeline tested
- Rollback procedures validated
- Performance baselines established
- Disaster recovery plan tested
- Security controls validated