The SRE Foundation Learning Path provides a comprehensive introduction to Site Reliability Engineering (SRE), equipping participants with the fundamental knowledge and practical skills needed to enhance system reliability and efficiency. The course covers the evolution and core principles of SRE, emphasizing a culture of blameless postmortems, risk management, and the balance between innovation and reliability. Participants will explore key concepts such as Service Level Indicators (SLIs), Service Level Objectives (SLOs), error budgets, incident management, monitoring, logging, and observability. Additionally, the curriculum introduces automation techniques, operational tooling, capacity planning, and performance optimization strategies. Through hands-on labs, case studies, and real-world projects, learners will gain practical experience in designing, deploying, and maintaining production environments, ensuring they are well-prepared to apply SRE practices in their organizations.
Understand the evolution of SRE, its core principles, and the role SREs play in modern organizations.
Learn about blameless postmortems, risk tolerance, and the balance between innovation and reliability.
Introduce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgeting concepts.
Learn the fundamentals of incident response, escalation procedures, and creating effective postmortems.
Understand the importance of monitoring, key metrics, and setting up alerts.
Explore logging best practices and the basics of observability tools to track system performance.
Gain an overview of automation tools and techniques to reduce manual intervention.
Familiarize yourself with common SRE tools for monitoring, alerting, and incident management.
Learn methods for assessing system capacity and planning for growth.
Explore basic strategies for performance testing and identifying system bottlenecks.
Engage in projects that combine key SRE principles, such as simulating a full incident response cycle—from setting up monitoring and alerting to automating remediation and performing detailed postmortem analysis.
Set up a basic monitoring and alerting system using Prometheus and Grafana.
Trigger simulated incidents (service downtime, performance degradation).
Practice incident identification, triage, escalation, and resolution.
Conduct a blameless postmortem, focusing on root-cause analysis and actionable improvements.
Identify and select meaningful SLIs for application reliability (latency, error rate, availability).
Define realistic SLO targets based on user experience.
Calculate error budgets and develop strategies for budget management.
Deploy and configure ELK stack (Elasticsearch, Logstash, Kibana) or Grafana Loki for centralized logging.
Instrument a sample application to expose metrics and tracing.
Create dashboards and automated alerts to proactively monitor performance and health.
Automate routine operational tasks such as service restarts, configuration changes, and resource provisioning using tools like Ansible, Terraform, or scripting.
Implement automated incident response using alert-driven automation or self-healing techniques.
Conduct capacity analysis using historical performance data.
Plan resource scaling strategies to meet projected demand.
Perform performance testing using JMeter or similar tools to identify bottlenecks.
Deploy and maintain a small-scale production application (e.g., a web application or microservices app).
Define and manage SLIs, SLOs, and error budgets continuously.
Set up comprehensive observability, monitoring, and automated alerting.
Automate capacity planning, incident management, and operational tasks.
Perform regular performance and reliability evaluations and optimization.