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 Duration 21 hours

Course Outline

Introduction

  • The convergence of SRE with traditional IT and software development.
  • The critical need for automation and observability.
  • Distinguishing the roles of software engineers and system administrators.
  • Comparing Site Reliability Engineers and DevOps Engineers.

IT System Overview

  • System architecture patterns, covering on-premise and cloud environments.

Core SRE Principles and Practices

  • Implementing Infrastructure as Code (IaC).
  • The significance of containerization and orchestration (e.g., Docker, Kubernetes).
  • CI/CD pipelines: Continuous Integration, Continuous Deployment, and Continuous Delivery.
  • Establishing observability standards.

Evaluating IT Systems

  • Assessing team and organizational resources.
  • Mapping existing systems and processes.
  • Estimating the potential impact of SRE initiatives.
  • Defining the role of the software engineering team.
  • Clarifying the responsibilities of the operational team.
  • The function of management in SRE adoption.

Maintaining System Reliability

  • Defining and measuring desired service reliability levels.
  • Comprehending Service Level Objectives (SLOs).
  • Understanding Service Level Indicators (SLIs) and Service Level Agreements (SLAs).
  • Utilizing Error Budgets effectively.
  • Formulating robust SLOs.

Optimizing System Administration

  • Configuring the development environment.
  • Assessing available SRE tools.
  • Prioritizing tasks for automation.
  • Writing efficient automation software.

Implementing "Infrastructure as Code"

  • Testing and iterative code improvement.
  • Building anti-fragile systems.
  • Learning from failures for continuous improvement.

System Monitoring

  • Observing and analyzing system performance.
  • Applying specific SRE tools and techniques.

The Future of SRE

Requirements

  • Familiarity with general IT infrastructure concepts.
  • Basic knowledge of the software development lifecycle.
  • Practical experience with programming or scripting in at least one language.

Target Audience

  • Developers
  • System Administrators
  • Software Architects
  • DevOps Engineers
  • IT Managers

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