Site Reliability Engineering (SRE) combines software engineering and operations to ensure systems run smoothly with minimal downtime, initially developed by Google.
SRE principles include Service Level Indicators (SLIs) & Objectives (SLOs), Error Budgets, and Incident Management for reliability and innovation balance.
Tools used in SRE include Prometheus, Grafana, Datadog, ELK Stack for monitoring, Terraform, Ansible for Infrastructure as Code, and GitHub Actions, Jenkins for CI/CD.
Chaos Engineering tools like Gremlin, Chaos Mesh are used to validate system robustness.
Companies like Google, Netflix, and LinkedIn leverage SRE to enhance uptime, scalability, and developer productivity, showcasing proactive reliability management.
Google's SRE team ensures Google Search availability at 99.999% uptime.
Getting started with SRE involves studying basics, understanding monitoring tools, automating incident response, and contributing to open-source projects.
Continuous learning and experimentation are crucial for excelling in SRE.
SRE is vital in today's tech operations, promising stable and optimized production environments, becoming increasingly crucial for seamless user experiences.