Site Reliability Engineering (SRE) Practitioner™


Site Reliability Engineering (SRE) Practitioner™ Certification accredited by Value Delivery Factory is focused on understanding the Site Reliability Engineering from a practical implementation perspective. The certification provides the participants with the ability to learn and demonstrate competency through a strong understanding of the SRE Principles, Practices, Experiences and the benefits of implementing SRE Practices.

Site Reliability Engineering (SRE) Practitioner™ Certification makes them knowledgeable about the elements they will be needing for a successful implementation of SRE Practices

Exam Requirements


  • Implementing SRE principles
  • Implementing SRE practices
  • Implementing SRE Models
  • SRE Patterns and Anti -Patterns
  • Use Case: IT Automation
  • Video: What is Site Reliability
  • What is on call?
  • On Call Challenges
  • On-Call Rotations
  • On-call rotation best practices
  • Benefits of on -call rotation
  • On call SRE Team Building
  • On-call Incentives
  • Use Case: On-Call Team Structure
  • Module Quiz
  • Tool Demo: PagerDuty for AIOps Solution
  • What is Incident Response?
  • Incident Command System (ICS)
  • Incident response Team
  • Metrics for effective Incident Response
  • Best Practices
  • Use Case: Automatic Security
  • Module Quiz
  • TOOL Demo – Major Incident Management
  • Incident postmortem
  • Why Incident Postmortems
  • Streamline the postmortem Process
  • Blameless postmortem
  • Incident Postmorten best Practices
  • Use Case: Network Outage Playbook
  • Module Quiz
  • What is a data pipeline?
  • Data pipeline components
  • Data pipeline types and use cases
  • Implementation options for data pipelines
  • Continuous Delivery Pipeline
  • Data Pipelines On AWS, Microsotf Azure, GCP
  • Use Case: Traditional analytics
  • Use Case: Real-time analytics
  • Use Case: ML Pipeline
  • Module Quiz
  • AWS CodePipeline Demo: Best Practices for Data Pipelines Release Process 
  • Define MLOps
  • Evolution of the MLOps
  • ML/AI and MLOps capabilities
  • Implement AI/ML
  • AI/ML/MLOps Stack Canvas
  • Deploy ML/AI
  • MLOps Maturity Level
  • MLOps Infrastructure Stack
  • MLOps Principles
  • Use Case
  • Module Quiz
  • Tool Demo: Data Versioning and Data Lineage With Pachyderm
  • Deployment Strategies Defi ned
  • Deployment Best Practices
  • Deployment Use Cases
  • Monolith Vs SOA Vs Microservices
  • Tool Demo: Kubernetes Blue Green Deployment
  • Module Quiz
  • What is Observability?
  • Primary Data Classes of Observability
  • Objectives of Observability
  • Difference between Monitoring and Observability
  • Synthetic Monitoring Vs Real User Monitoring
  • Why Architectures Require Observability
  • Building a Continuously Observable System
  • Use and benefits of observability for SREs
  • Enterprise Observability Strategy
  • Measuring Organizations Observability
  • Observability in containers and microservices
  • Criteria for good observability tools
  • Module Quiz
    Tool Overview: Elastic Observability

Target Audience

  • Anyone starting or leading a move towards increased reliability
  • Anyone interested in modern IT leadership and organizational change approaches
  • Business Managers
  • Business Stakeholders
  • Change Agents
  • Consultants
  • DevOps Practitioners
  • IT Directors
  • IT Managers
  • IT Team Leaders
  • Product Owners
  • Scrum Masters
  • SRE Engineers
  • System Integrators
  • Tool Providers

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