Course Outline

1. Enterprise CI/CD Design

1.1 Fundamentals of Enterprise CI/CD

• Evolution of CI/CD in enterprise environments
• DevOps maturity model
• CI/CD architecture patterns
• Centralized vs decentralized pipelines
• Monolithic vs microservices CI/CD
• DevOps platform engineering

1.2 Enterprise CI/CD Architecture

• End-to-end CI/CD workflow
• Multi-repository pipelines
• Pipeline orchestration strategies
• Pipeline dependencies and chaining
• Cross-team pipeline governance

1.3 CI/CD Pipeline Design Principles

• Idempotent pipelines
• Immutable infrastructure
• Pipeline modularization
• Pipeline reusability and templates
• Environment parity
• Pipeline versioning

1.4 CI/CD Pipeline Stages

• Source control integration
• Build stage design
• Artifact packaging
• Automated testing stages
• Security scanning stages
• Deployment automation
• Post-deployment verification

1.5 Pipeline Automation Strategies

• GitOps pipelines
• Event-driven pipelines
• Scheduled pipelines
• Infrastructure pipelines
• Data pipelines

1.6 Multi-Environment Deployment Strategy

• Development environment
• Integration environment
• Staging environment
• Production environment
• Environment promotion strategies

Deployment patterns:

• Blue-green deployments
• Canary deployments
• Rolling deployments
• Feature flag deployments

1.7 Enterprise Artifact Management

• Artifact repositories
• Artifact versioning
• Artifact promotion
• Binary repository management

1.8 Infrastructure as Code in CI/CD

• Infrastructure automation
• Infrastructure lifecycle
• Environment provisioning

Tools:

• Terraform
• AWS CloudFormation

1.9 Container Based CI/CD

• Container build pipelines
• Container registry management
• Image scanning
• Container promotion

Tools:

• Docker

1.10 Kubernetes Deployment Pipelines

• CI/CD for Kubernetes
• GitOps workflow
• Helm deployments

Tools:

• Kubernetes

1.11 Enterprise Pipeline Governance

• Pipeline security policies
• Pipeline approval gates
• Audit and compliance
• DevOps governance models

2. Observability Ecosystem

2.1 Observability Fundamentals

• Monitoring vs observability
• Observability pillars
• Metrics
• Logs
• Traces
• Telemetry data

2.2 Observability Architecture

• Telemetry collection architecture
• Data ingestion pipelines
• Observability platform architecture
• Data storage and indexing

2.3 Metrics Monitoring

• Infrastructure metrics
• Application metrics
• Custom metrics
• Alerting strategies

Tools:

• Prometheus
• Grafana

2.4 Logging Systems

• Centralized logging
• Log aggregation
• Log analysis

2.5 Distributed Tracing

• Microservices tracing
• Request flow tracing
• Latency analysis

2.6 Application Performance Monitoring

• Application health monitoring
• Performance metrics
• User experience monitoring

Tools:

• Datadog/Dynatrace/New Relic

2.7 Alerting and Incident Management

• Alert strategies
• Alert fatigue prevention
• Incident response

2.8 Observability in Kubernetes

• Cluster monitoring
• Pod metrics
• Node health monitoring
• Service mesh telemetry

3. DevSecOps Leadership

3.1 DevSecOps Fundamentals

• What is DevSecOps
• Shift-left security
• DevSecOps lifecycle
• Secure software supply chain

3.2 Security in CI/CD

• Secure pipeline design
• Secret management
• Credential protection
• Secure artifact repositories

Tools:

• HashiCorp Vault

3.3 Application Security Testing

• Static Application Security Testing (SAST)
• Dynamic Application Security Testing (DAST)
• Software composition analysis

3.4 Container Security

• Container image scanning
• Container runtime protection
• Supply chain security

Tools:

• Trivy

3.5 Kubernetes Security

• Cluster security
• Pod security
• Network policies
• RBAC security

3.6 DevSecOps Governance

• Security policies
• Compliance frameworks
• Security audit trails
• Risk management

3.7 Leadership in DevSecOps

• Building DevSecOps culture
• Security awareness
• Cross-team collaboration
• DevSecOps transformation strategy

4. High Level System Design

4.1 System Design Fundamentals

• Scalability concepts
• Reliability
• Availability
• Fault tolerance
• Performance optimization

4.2 Distributed Systems Design

• Distributed architecture principles
• CAP theorem
• Event-driven architecture
• Message-driven systems

4.3 Microservices Architecture

• Microservices principles
• Service decomposition
• API gateways
• Service discovery

4.4 Load Balancing and Traffic Management

• Layer 4 vs Layer 7 load balancing
• Global load balancing
• Traffic shaping

Tools:

• NGINX

4.5 Database Architecture

• SQL vs NoSQL
• Database replication
• Sharding
• Caching strategies

Tools:

• Redis

4.6 Reliability Engineering

• Site Reliability Engineering
• Error budgets
• Service Level Objectives (SLO)
• Service Level Indicators (SLI)

4.7 Disaster Recovery and Resilience

• Backup strategies
• Failover architecture
• Multi-region deployments

4.8 Cloud Architecture Patterns

• Cloud native architecture
• Serverless systems
• Hybrid cloud architecture

Platforms:

• Amazon Web Services
• Microsoft Azure

5. Enterprise DevOps Architecture Capstone

Design a complete enterprise DevOps platform including:

Architecture components:

1. Source control
2. CI/CD platform
3. Artifact repository
4. Container registry
5. Kubernetes platform
6. Observability platform
7. Security scanning
8. Cloud infrastructure

Tools involved:

• Terraform
• Kubernetes
• Prometheus
• Grafana