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SRE Course

Week 1: Introduction to Site Reliability Engineering (SRE)

• Understanding the role of SRE in modern IT organizations
• Introduction to Google's SRE model and its principles
• Reliability, scalability, and efficiency as core objectives
• Service Level Objectives (SLOs) and Error Budgets
• Measuring and monitoring reliability

Week 2: Infrastructure as Code (IaC) and Automation

• Introduction to Infrastructure as Code (IaC) principles
• Automation tools for infrastructure provisioning and management
• Configuration management with tools like Puppet, Chef, and Ansible
• Deploying and managing infrastructure with Terraform
• Continuous Integration/Continuous Deployment (CI/CD) for infrastructure

Week 3: Monitoring and Alerting

• Introduction to monitoring principles in SRE
• Setting up monitoring systems for various components
• Creating effective dashboards and alerts
• Using time series databases for metric storage
• Implementing effective incident response workflows

Week 4: Incident Management and Postmortems

• Building a culture of blameless postmortems
• Developing incident management playbooks
• Implementing incident response automation
• Analyzing incidents to improve system reliability
• Identifying and mitigating risks proactively

Week 5: Service Reliability and Resilience

• Designing for reliability and fault tolerance
• Implementing redundancy and failover strategies
• Understanding and mitigating single points of failure
• Testing and validating system resilience
• Disaster recovery planning and execution

Week 6: Capacity Planning and Performance Optimization

• Understanding performance metrics and bottlenecks
• Capacity planning for scalable systems
• Load testing and performance tuning
• Scaling strategies for various components
• Cost optimization while maintaining performance

Week 7: Security in SRE

• Security principles and best practices
• Securing infrastructure and applications
• Implementing security controls and monitoring
• Incident response for security breaches
• Compliance and regulatory considerations

Week 8: Cloud Native Technologies

• Introduction to cloud native principles
• Containerization with Docker and Kubernetes
• Microservices architecture and service mesh
• Serverless computing and event-driven architectures
• Managing cloud native applications for reliability

Week 9: Observability and Distributed Systems

• Understanding distributed systems and their challenges
• Implementing observability for complex systems
• Tracing and debugging distributed systems
• Log aggregation and analysis
• Metrics, logs, and traces correlation