Feb 10
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It's 3 AM, production is down, and nobody knows if this is bad enough to escalate. Sound familiar? This video covers the theory and principles behind Site Reliability Engineering's approach to measuring and managing reliability. If you've ever been caught between "ship faster" and "stop breaking things," this framework will give you a way out. What you'll learn: The core concepts: Service Level Indicators (SLIs), Service Level Objectives (SLOs), Service Level Agreements (SLAs), and Error Budgets. We'll cover why traditional uptime metrics fail to capture user experience, how error budgets align incentives between dev and ops, and why reliability in distributed systems is harder than most people think. You'll see how different companies implement these ideas: Google's engineering-first SRE model with the 50% ops cap, Netflix's developer ownership with chaos engineering, and Amazon's service ownership approach. We'll also cover the math behind compositional SLOs (why five microservices at 99.9% each give you 99.5% user-experienced reliability), how to choose different reliability targets for different user journeys, and common misconceptions that derail SRE implementations. This is Part 1 of 2. Part 1 covers the theory and principles. Part 2 will show you how to implement this in practice with real-world case studies and a step-by-step action plan.