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Site Reliability Engineering
Rating: 4.3 out of 5(59 ratings)
840 students

Site Reliability Engineering

Building Reliable, Scalable, and Resilient Systems at Scale
Created byMotivalogic Academy
Last updated 6/2025
English

What you'll learn

  • Implement and Maintain Reliable Systems: Learners will be able to apply SRE principles to design, deploy, and maintain highly available and resilient systems.
  • Automate Operational Tasks: Students will gain skills to automate infrastructure management, monitoring, and incident response.
  • Monitor, Measure and Improve System Performance: Participants will learn to set service level objectives, track system health and implement effective monitoring
  • Apply SRE principles to design, deploy, monitor, and maintain highly available, resilient, and reliable production-grade systems.

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Course content

1 section • 6 lectures • 32m total length

  • Introduction to SRE4:54
  • Reliability Engineering4:48

    Engineer reliability into systems from the ground up using redundancy, fault tolerance, automation, and chaos engineering to reduce toil and improve resilience.

  • Observability and Monitoring6:55
  • Incident Management and Postmortems5:12

    Implement incident response workflows, conduct blameless postmortems with root cause analysis, and use runbooks and playbooks for fast, consistent recovery.

  • Automation Infrastructure as Code5:01

    Explore automation and infrastructure as code with Terraform, Ansible, and Argo CD to provision cloud infrastructure, configure systems, and implement GitOps for scalable, versioned deployments.

  • Performance Optimization6:08

Requirements

  • Basic Understanding of Linux and Command Line Tools: Learners should have a foundational knowledge of Linux environments and be comfortable using command-line interfaces to navigate and manage systems. Familiarity with Programming or Scripting Languages: A working knowledge of programming or scripting languages such as Python, Go, or Bash is important for automating tasks and writing system tools. Knowledge of DevOps Concepts and Tools: Students should be familiar with basic DevOps practices such as CI/CD, version control (e.g., Git), and infrastructure automation tools to fully grasp SRE principles and techniques.

Description

The Site Reliability Engineer (SRE) course offers a comprehensive introduction to the discipline that bridges software engineering and IT operations. Developed by Google, the SRE approach focuses on building scalable and highly reliable software systems. This course equips learners with the essential skills and knowledge needed to automate infrastructure management, monitor system health, and ensure the reliability and performance of applications in production environments.

Use the link in the video to gain access to the full course, quiz and other advance courses.

Learners will explore key SRE concepts such as Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs). The course dives into incident response management, postmortem analysis, alerting strategies, error budgets, and change management. Participants will also gain hands-on experience with tools used in observability, monitoring, CI/CD automation, and infrastructure as code (IaC).

By the end of the course, students will be equipped to work in roles that require a strong understanding of how to balance operational responsibilities with development velocity, using automation and measurable reliability as guiding principles. This course is ideal for DevOps engineers, system administrators, software developers, and anyone looking to transition into an SRE role.

What will i learn?

  • Implement and Maintain Reliable Systems: Learners will be able to apply SRE principles to design, deploy, and maintain highly available and resilient systems in production environments.

  • Automate Operational Tasks: Students will gain skills to automate infrastructure management, monitoring, and incident response using tools like Prometheus, Grafana, and scripting languages.

  • Monitor, Measure, and Improve System Performance: Participants will learn to set service level objectives (SLOs), track system health metrics, and implement effective monitoring strategies to ensure performance and reliability.

Requirements

  • Basic Understanding of Linux and Command Line Tools: Learners should have a foundational knowledge of Linux environments and be comfortable using command-line interfaces to navigate and manage systems.

  • Familiarity with Programming or Scripting Languages: A working knowledge of programming or scripting languages such as Python, Go, or Bash is important for automating tasks and writing system tools.

  • Knowledge of DevOps Concepts and Tools: Students should be familiar with basic DevOps practices such as CI/CD, version control (e.g., Git), and infrastructure automation tools to fully grasp SRE principles and techniques.

Who this course is for:

  • Aspiring Site Reliability Engineers (SREs) looking to understand and apply core SRE principles. DevOps Engineers who want to build more reliable, scalable, and production-ready systems. System Administrators transitioning into modern cloud-native environments with reliability responsibilities. Software Engineers aiming to improve the operational stability and observability of their applications. Cloud Engineers or Architects designing fault-tolerant infrastructure. IT Professionals responsible for uptime, incident response, and performance monitoring. Engineering Managers seeking to implement SRE practices within their teams.

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