Site Reliability Engineering (SRE) Practitioner Training Course

• Educational Background: A degree in IT, Computer Science, or equivalent experience in IT operations or development. 

• Professional Experience: Prior exposure to software development, system administration, or IT operations is recommended. 

• Language Proficiency: Proficiency in English is required, as the course materials and certification exam are conducted in English. 

• Develop Advanced SRE Skills: Master the principles and practices of Site Reliability Engineering. 

• Implement SLOs and Error Budgets: Learn to define, monitor, and manage service-level objectives effectively. 

• Optimise Incident Management: Gain expertise in handling incidents and conducting post-incident reviews. 

• Automate and Scale Operations: Build automation frameworks to minimise toil and improve efficiency. 

• Strengthen Monitoring Capabilities: Implement robust monitoring and alerting systems for enhanced observability. 

This course is ideal for professionals seeking to advance their expertise in SRE practices. It is particularly suited to: 

• Site Reliability Engineers 

• DevOps Engineers 

• IT Operations Managers 

• Infrastructure Engineers 

• Software Engineers transitioning to SRE roles 

• Professionals responsible for system reliability and scalability 

Module 1: SRE Anti-Patterns 

• Break the Ice with a Recap of DevOps Institute’s SRE Blueprint 

• Discuss How SRE Works in a Distributed Ecosystem 

• Discuss Some of the SRE Barriers 

• Few SRE Anti-Patterns (Discuss the Right Patterns Too) 

• Discuss the Case Story of How Monzo Bank Learned from Causes Leading to SEV1 Issue 
   

Module 2: SLO is a Proxy for Customer Happiness 

• What Has Changed with SLO? 

• Identifying System Boundaries for Setting SLIs is Critical 

• How Do You Use Error Budgets Beyond the Velocity Vs. Stability Debate? 
   

Module 3: Building Secure and Reliable Systems 

• Building Secure and Reliable Systems 

• Non-Abstract Large-Scale Design 

• Designing for the Changing Architecture and Distributed Ecosystem 

• Fault Tolerant Design 

• Designing for Security 

• Designing for Resiliency 
   

Module 4: Full Stack Observability 

• Modern Apps are Complex and Unpredictable 

• Slow is the New Down 

• Pillars of Observability 

• Using Open Telemetry 
   

Module 5: Platform Engineering and AIOps 

• Taking a Platform Centric View 

• Using AIOps to Improve Resiliency 

• How DataOps Can Help? 

• Implementing AIOps 

• Measuring AIOps 
   

Module 6: SRE and Incident Response Management 

• SRE Key Responsibilities Towards Incident Response 

• DevOps and SRE and ITSM (New Vs. Old Ways) 

• OODA and SRE Incident Response 

• SRE and CLR (Closed Loop Remediation) 

• Swarming – Food for Thought 

• AI/ML for Better Incident Management
   

Module 7: Chaos Engineering 

• Navigating Complexity 

• What Is Chaos Engineering? 

• What Chaos Engineering Is Not? 

• Chaos Engineering Myths 

• Conducting Chaos Engineering Experiments 

• Chaos Engineering for Security 
   

Module 8: SRE is the Purest Form of DevOps 

• Key Principles of SRE 

• SREs Help Increase Reliability Across the Spectrum 

• Metrics for Success 

• SRE Execution Models 

• Culture and Behavioural Skills are Key 

• Transformation After Implementing SRE Practices