Overview

This course equips you with practical Site Reliability Engineering (SRE) skills for modern cloud-native and DevOps environments. You will begin with SRE fundamentals, including reliability principles, the relationship between SRE and DevOps, and key reliability metrics such as SLIs, SLOs, and error budgets. You will then explore observability and operations using Prometheus, Grafana, and Argo CD for monitoring, alerting, dashboards, GitOps deployments, incident management, on-call practices, and blameless postmortems. The course concludes with SRE automation and recovery, covering runbooks, Ansible playbooks, Pyrra, burn-rate alerts, GitOps-based rollbacks, and anomaly detection. By the end of the course, you will be able to define and implement reliability objectives, build monitoring and SLO dashboards, configure effective alerts, manage incidents and postmortems, automate operational tasks, track error budgets, and apply recovery strategies using GitOps workflows. Designed for DevOps engineers, SREs, platform engineers, cloud engineers, Kubernetes administrators, and operations teams, this course requires a basic understanding of Linux, Git, YAML, and Kubernetes fundamentals. Enroll today and take the next step toward becoming a skilled Site Reliability Engineer capable of building resilient, observable, and highly automated cloud-native systems that scale with confidence.

Syllabus

Foundations of Site Reliability Engineering

This module introduces the core concepts of SRE, reliability thinking, SLIs, SLOs, and error budgets. Learners will understand how reliability is defined, measured, and managed in modern systems.

Monitoring, Alerting, and Incident Operations

This module focuses on monitoring service health, building dashboards, configuring meaningful alerts, managing on-call workflows, and responding to incidents through structured processes.

Automation, SLO Tracking, GitOps Recovery, and AI for SRE

This module focuses on reducing operational toil, automating SRE tasks, tracking SLOs, managing error budgets, performing GitOps-based rollback, and briefly exploring AI-assisted reliability practices.

Course Wrap-Up and Assessments

Build practical skills in Site Reliability Engineering through reliability-focused concepts, hands-on demos, and operational workflows. Apply SLIs, SLOs, error budgets, observability, monitoring dashboards, alerting, incident response, on-call practices, toil reduction, automation, GitOps-based recovery, and AI-assisted SRE practices. Develop reliable workflows for managing service health, reducing operational effort, and improving production system resilience.