Release Management
Effective release management is crucial for maintaining stable and secure Buzzy deployments. This guide covers best practices for managing Buzzy releases, updates, and deployments.
Table of contents
Release strategy
Release Types
Major Releases: Significant feature additions and architectural changes
Minor Releases: New features and enhancements
Patch Releases: Bug fixes and security updates
Hotfixes: Critical security or stability fixes
Release Cadence
Scheduled Releases: Regular release schedule (monthly/quarterly)
Emergency Releases: Critical fixes outside regular schedule
Security Updates: Immediate deployment for security patches
Feature Releases: Based on development completion
Environment Strategy
Development: Latest development builds
Staging: Pre-production testing environment
Production: Stable, tested releases only
Disaster Recovery: Backup production environment
Version management
Semantic Versioning
Buzzy follows semantic versioning (MAJOR.MINOR.PATCH):
MAJOR: Incompatible API changes
MINOR: Backward-compatible functionality additions
PATCH: Backward-compatible bug fixes
Version Tracking
Container Tags: Docker images tagged with version numbers
Configuration Management: Version-specific configuration files
Database Migrations: Tracked database schema changes
Documentation: Version-specific documentation
Compatibility Matrix
3.2.x
4.4+
1.18+
14.x
3.1.x
4.2+
1.16+
14.x
3.0.x
4.2+
1.16+
12.x
Deployment procedures
Pre-deployment Checklist
Blue-Green Deployment
Prepare Green Environment: Deploy new version to parallel environment
Validate Green: Test new deployment thoroughly
Switch Traffic: Route traffic from blue to green
Monitor: Watch for issues in new environment
Cleanup: Remove old blue environment after validation
Rolling Deployment
Update Configuration: Apply new configuration settings
Deploy Incrementally: Update services one at a time
Health Checks: Verify each service before proceeding
Monitor Progress: Watch deployment progress and metrics
Complete Rollout: Finish deployment across all instances
Kubernetes Deployment Example
apiVersion: apps/v1
kind: Deployment
metadata:
name: buzzy-main
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
template:
spec:
containers:
- name: buzzy-main
image: buzzybuzz/buzzy-main:3.2.1
readinessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 60
periodSeconds: 30
Rollback procedures
Automated Rollback
Health Check Failures: Automatic rollback on failed health checks
Performance Degradation: Rollback based on performance metrics
Error Rate Threshold: Rollback when error rates exceed limits
User-Defined Triggers: Custom rollback conditions
Manual Rollback
Identify Issue: Determine the scope and impact of the problem
Stop Deployment: Halt any ongoing deployment processes
Revert Configuration: Restore previous configuration settings
Rollback Database: Restore database to previous state if needed
Verify System: Confirm system stability after rollback
Kubernetes Rollback Example
# View rollout history
kubectl rollout history deployment/buzzy-main
# Rollback to previous version
kubectl rollout undo deployment/buzzy-main
# Rollback to specific revision
kubectl rollout undo deployment/buzzy-main --to-revision=2
# Check rollout status
kubectl rollout status deployment/buzzy-main
Testing and validation
Pre-deployment Testing
Unit Tests: Automated testing of individual components
Integration Tests: Testing of component interactions
Performance Tests: Load and stress testing
Security Tests: Vulnerability and penetration testing
Staging Environment Testing
Full System Tests: Complete application testing
User Acceptance Tests: Business user validation
Data Migration Tests: Database upgrade testing
Backup and Recovery Tests: Disaster recovery validation
Production Validation
Smoke Tests: Basic functionality verification
Health Checks: System health monitoring
Performance Monitoring: Response time and throughput
User Experience Monitoring: Real user monitoring
Monitoring and maintenance
Release Monitoring
Application Performance: Response times and throughput
Error Rates: Application and system errors
Resource Utilization: CPU, memory, and storage usage
User Activity: User engagement and behavior
Maintenance Activities
Security Updates: Regular security patch application
Dependency Updates: Third-party library updates
Performance Optimization: System tuning and optimization
Capacity Planning: Resource scaling and planning
Alerting and Notifications
Critical Issues: Immediate notification for critical problems
Performance Degradation: Alerts for performance issues
Security Events: Notifications for security incidents
Deployment Status: Updates on deployment progress
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