Moodify Deployment Runbook

Moodify Deployment Runbook

Comprehensive deployment procedures, runbooks, and operational guidelines for Moodify production environments.

Table of Contents

• Deployment Overview
  • Deployment Architecture
  • Deployment Strategies
• Quick Start
• Pre-Deployment Checklist
• Deployment Procedures
  • Blue-Green Deployment
  • Canary Deployment
  • Automated CI/CD Pipeline
• Rollback Procedures
• Incident Response
• Operational Runbooks
• Monitoring and Alerting
• Infrastructure Components

Deployment Overview

Deployment Architecture

Moodify employs a production-ready, cloud-native deployment architecture with multiple deployment strategies and comprehensive automation:

**Key Features:**

• 🔵🟢 Blue-Green Deployment: Instant traffic switching with zero downtime
• 🐤 Canary Deployment: Progressive rollout with traffic-based validation
• 🔄 Automated CI/CD: Comprehensive Jenkins pipeline with quality gates
• 🛡️ Security: Multi-layer security scanning (SAST, DAST, container scanning)
• 📊 Monitoring: Real-time metrics, health checks, and automated alerting
• 🔙 Automated Rollback: Instant rollback capabilities on failure detection
• ☸️ Kubernetes: Container orchestration with auto-scaling
• 🔀 Traffic Management: Istio service mesh with advanced routing

Deployment Strategies

Moodify supports three deployment strategies:

1. Blue-Green Deployment (Recommended)

**Use Case**: Major releases, critical updates

**Benefits:**

• Instant rollback capability
• Zero downtime
• Full environment validation before traffic switch
• Easy A/B testing

**How it works:**

1. Deploy new version to inactive environment (Green)
2. Run comprehensive tests on Green
3. Switch traffic from Blue to Green
4. Keep Blue as instant rollback option

**Script:** `./scripts/deployment/blue-green-deploy.sh`

2. Canary Deployment (Progressive Rollout)

**Use Case**: Gradual rollouts, risk mitigation, feature flags

**Benefits:**

• Progressive traffic increase (10% → 25% → 50% → 100%)
• Early issue detection with minimal user impact
• Automated rollback on error threshold breach
• Real-time monitoring at each stage

**How it works:**

1. Deploy canary version alongside stable
2. Route 10% traffic to canary
3. Monitor metrics for 5 minutes
4. Progressively increase traffic if healthy
5. Promote to 100% or rollback on issues

**Script:** `./scripts/deployment/canary-deploy.sh`

3. Rolling Deployment

**Use Case**: Minor updates, patches

**Benefits:**

• Simple and straightforward
• Gradual pod replacement
• Built into Kubernetes

**Recommended for:** Non-critical updates,