Site Reliability Engineering Training Course

This course equips participants with practical skills to build and operate highly reliable, scalable, and efficient systems using Site Reliability Engineering (SRE) principles. It focuses on applying software engineering practices to IT operations to improve system reliability, performance, and automation. Participants will learn how to manage incidents, define Service Level Objectives (SLOs), and implement observability and automation practices in modern cloud environments.

Target Groups

• Site Reliability Engineers (SREs)
• DevOps engineers and cloud engineers
• Software developers and backend engineers
• System administrators and IT operations teams
• Platform engineers and infrastructure teams
• Technical leads and solution architects
• Students in IT and computer science
• Anyone responsible for system reliability and uptime

Course Objectives

By the end of this course, participants will be able to:

• Understand SRE principles and practices
• Define and manage Service Level Indicators (SLIs) and SLOs
• Improve system reliability and availability
• Automate operational tasks and workflows
• Implement monitoring and observability systems
• Handle incidents and perform root cause analysis
• Design scalable and fault-tolerant systems
• Manage error budgets effectively
• Apply chaos engineering principles
• Support continuous system improvement

Course Modules

Module 1: Introduction to Site Reliability Engineering

• Definition and evolution of SRE
• SRE vs DevOps
• Core principles of reliability engineering
• Role of SRE teams in organizations
• Key concepts and terminology

Module 2: Service Level Objectives (SLOs) and SLIs

• Understanding SLIs, SLOs, and SLAs
• Defining measurable reliability targets
• Error budgets and their role
• Monitoring service performance
• Balancing reliability and feature delivery

Module 3: Monitoring and Observability

• Metrics, logs, and traces
• Observability principles
• System monitoring strategies
• Alerting and notification systems
• Root cause analysis

Module 4: Incident Management and Response

• Incident detection and classification
• Incident response workflows
• On-call management practices
• Postmortems and learning culture
• Reducing mean time to recovery (MTTR)

Module 5: Automation in SRE

• Infrastructure and operational automation
• Reducing manual toil
• Automation tools and practices
• Self-healing systems
• Continuous improvement through automation

Module 6: Capacity Planning and Performance

• System capacity planning
• Load forecasting techniques
• Performance tuning strategies
• Scaling systems effectively
• Resource optimization

Module 7: Reliability Engineering Practices

• Fault tolerance and redundancy
• High availability design
• Disaster recovery planning
• Risk management strategies
• System resilience engineering

Module 8: Chaos Engineering

• Introduction to chaos engineering
• Designing failure experiments
• Simulating system failures
• Improving system resilience
• Tools and methodologies

Module 9: SRE and DevOps Integration

• Relationship between DevOps and SRE
• Collaboration between teams
• Continuous delivery and reliability
• Cultural aspects of SRE
• Organizational adoption strategies

Module 10: Capstone Project and Case Studies

• Real-world SRE case studies
• Group project: designing a reliable production system
• Incident simulation and response exercise
• Reliability improvement planning
• Emerging trends in SRE, AI-driven observability, autonomous operations, predictive incident management, and self-healing infrastructure systems