Overview

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This Advanced Site Reliability Engineering Training builds strong expertise in designing, operating, and scaling highly reliable cloud systems using modern SRE and DevOps practices. You learn SLIs, SLOs, SLAs, error budgets, observability, incident management, alerting, RCA, CI CD, chaos engineering, Infrastructure as Code, and performance testing through hands on labs and real world demos using Prometheus, Grafana, Jenkins, Docker, Kubernetes, and Ansible. The course shows how to reduce toil, automate operations, improve resilience, and maintain production ready systems at scale. By the end of this course, you will be able to: - Implement Reliability Metrics: Define SLIs, SLOs, SLAs, and manage error budgets - Build Observability Systems: Configure Prometheus, Grafana, and advanced alerting - Automate Incident Response: Apply RCA, blameless postmortems, and toil reduction - Design Resilient Deployments: Use blue green, canary, and CI CD pipelines - Apply Chaos Engineering: Test system resilience in Kubernetes environments - Optimize Performance at Scale: Conduct load testing and improve reliability Ideal for DevOps engineers, cloud professionals, SRE aspirants, system administrators, and IT practitioners.

Syllabus

SRE Foundations

Build strong foundations in Site Reliability Engineering by understanding core SRE principles, reliability culture, and modern operations practices. Learn how to define and measure service reliability using SLIs, SLOs, and SLAs, create EC2 instances, and apply error budgets to balance innovation with stability. Gain practical insights into reliability metrics, service performance, and scalable cloud operations.

Error Budgets & Observability

Master error budgets and observability to maintain reliable, high performing systems at scale. Learn how to calculate and simulate error budgets, reduce alert fatigue, and correlate logs, metrics, and traces for actionable insights. Explore modern observability practices, AI and ML driven monitoring, and hands on setup of Prometheus and Grafana to build proactive cloud reliability management.

Incident Management & Toil Reduction

Develop strong incident management and toil reduction skills to improve system reliability and response time. Learn incident response fundamentals, blameless postmortems, effective communication strategies, and key SRE metrics. Implement automation with Prometheus and shell scripting to reduce manual toil and enable automated service recovery. Build a resilient SRE culture focused on continuous improvement and operational excellence.

Reliability Engineering & Deployments

Strengthen reliability engineering and deployment practices to build scalable, fault tolerant systems. Learn core reliability principles, blue green and canary deployment strategies, and hands on SRE implementation. Explore automation foundations including Infrastructure as Code, configuration management, CI CD pipelines, monitoring, scaling, and incident response using tools like Ansible and Nginx for resilient cloud operations.

Alerting, Automation & RCA

Build advanced alerting, automation, and root cause analysis skills to strengthen site reliability engineering. Learn principles of effective alert design, SLO based multi level alerting, and strategies to reduce alert fatigue using Prometheus, Node Exporter, and Alertmanager. Master incident response, escalation paths, RCA techniques, blameless postmortems, and error budget management to continuously measure and improve system reliability.

CI/CD & Chaos Engineering

Master CI CD and chaos engineering to enhance reliability and resilience in modern cloud environments. Learn CI CD fundamentals, automation strategies, and operational best practices for SRE teams using Jenkins and Docker. Explore chaos engineering principles, real world practices, and Kubernetes use cases. Implement controlled failure testing with Pumba to build fault tolerant, production ready systems.

Performance Testing & Advanced SRE

Advance your SRE expertise with performance testing and large scale reliability practices. Learn performance engineering fundamentals, realistic load profiling, and CI CD integrated testing with multi user load simulations. Explore SRE implementation at scale, error budgets, team workflows, tools, and metrics. Build a learning culture and implement container monitoring and alerting with Docker for resilient systems.