Service Level Objectives (SLOs)

• Define and measure service reliability targets
• Balance user experience with development velocity
• Data-driven reliability decisions
• Error budget management and enforcement

Incident Management

• Structured incident response processes
• Blame-free post-mortem culture
• Automated incident detection and alerting
• Continuous improvement through learning

Capacity Planning

• Predictive resource planning
• Automated scaling solutions
• Performance monitoring and optimization
• Cost-effective infrastructure utilization

Change Management

• Risk assessment for deployments
• Automated testing and validation
• Gradual rollout strategies
• Automated rollback capabilities

Monitoring & Alerting

• Comprehensive metrics collection
• Intelligent alerting systems
• Custom dashboard creation
• Real-time performance monitoring

Chaos Engineering

• Controlled failure injection
• System resilience testing
• Failure mode analysis
• Recovery procedure validation

Automation & Tooling

• Infrastructure as Code (IaC)
• CI/CD pipeline optimization
• Automated testing frameworks
• Self-healing system design

Performance Engineering

• Load testing and analysis
• Bottleneck identification
• Optimization recommendations
• Scalability planning

Level 1: Reactive Operations

• Manual processes and firefighting
• Limited monitoring and alerting
• No formal incident response
• Ad-hoc problem solving

Level 2: Basic SRE Practices

• Initial SLO definition
• Structured incident response
• Basic automation implementation
• Regular post-mortem reviews

Level 3: Advanced SRE

• Comprehensive error budget management
• Chaos engineering practices
• Full automation of operational tasks
• Proactive reliability engineering

Level 4: SRE Excellence

• Predictive capacity planning
• Advanced reliability patterns
• Organization-wide SRE culture
• Continuous reliability improvement

Key Benefits

• Improved Reliability: Achieve 99.9%+ service availability
• Faster Recovery: Reduce mean time to recovery by 70%
• Reduced Toil: Automate manual operational tasks
• Better Planning: Data-driven capacity and performance planning
• Cost Optimization: Efficient resource utilization and scaling

Success Metrics

Organizations typically see these improvements after SRE implementation:

• 99.9%+ service availability with proper SLO management
• 70% reduction in mean time to recovery through automation
• 80% reduction in manual operational tasks via tooling
• 90% reduction in repeat incidents with proper RCA
• 50% improvement in deployment confidence with automated testing

SRE Fundamentals Course

• Introduction to SRE principles and practices
• Hands-on SLI/SLO workshop and implementation
• Incident response simulation and management
• Tool training and best practices

Advanced SRE Practices

• Chaos engineering workshops and implementation
• Performance optimization techniques
• Capacity planning methodologies
• Leadership and communication skills for SRE teams

Monitoring & Observability

• MiradorStack: Unified telemetry platform
• Prometheus: Metrics collection and alerting
• Grafana: Visualization and dashboards
• OpenTelemetry: Standardized telemetry collection

Automation & Tooling

• Terraform: Infrastructure as Code
• Ansible: Configuration management
• GitOps: Declarative deployment
• Kubernetes: Container orchestration

Assessment Phase

• Current state analysis and maturity assessment
• SLO/SLI definition and error budget calculation
• Infrastructure and process audit
• Risk assessment and prioritization

Implementation Phase

• Monitoring and alerting setup
• Automation pipeline development
• Incident response process implementation
• Team training and knowledge transfer

Optimization Phase

• Performance tuning and optimization
• Chaos engineering implementation
• Continuous improvement processes
• Advanced SRE practice adoption