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What Is Site Reliability Engineering (SRE)?

Learn what Site Reliability Engineering is, core SRE principles including SLOs, error budgets, and toil reduction, and how SRE improves reliability.

What Is Site Reliability Engineering (SRE)?

Site Reliability Engineering is a discipline that applies software engineering practices to infrastructure and operations, originally developed at Google.

Core Principle

SRE bridges the gap between development speed and operational reliability. Rather than a separate ops team, SREs write code to automate what would otherwise be manual operations work.

Key Concepts

Service Level Objectives (SLOs)

SLOs define how reliable your service should be:

  • SLI (Indicator) — a metric that measures reliability (e.g., request success rate)
  • SLO (Objective) — the target for that metric (e.g., 99.9% success rate)
  • SLA (Agreement) — the contractual commitment to customers

Example:

SLI: Percentage of HTTP requests completed in < 200ms
SLO: 99.5% of requests in a 30-day window
Error Budget: 0.5% of requests can be slow (about 3.6 hours/month)

Error Budgets

The error budget is the inverse of your SLO. If your SLO is 99.9% uptime, your error budget is 0.1% downtime per month (~43 minutes).

  • Budget remaining: ship features, take risks
  • Budget exhausted: freeze deployments, focus on reliability

This creates a data-driven balance between shipping fast and maintaining reliability.

Toil Reduction

Toil is repetitive, manual work that scales with service growth. SRE aims to keep toil below 50% of an engineer's time by automating:

  • Incident response procedures
  • Capacity planning
  • Deployment processes
  • Configuration management

SRE Practices

  • Monitoring and alerting — symptom-based alerts, not cause-based
  • Incident management — structured response with defined roles
  • Postmortems — blameless analysis after incidents
  • Capacity planning — proactive scaling before limits are hit
  • Change management — progressive rollouts, canary deployments

SRE vs. DevOps

  • DevOps is a culture and set of practices
  • SRE is a specific implementation of DevOps principles with concrete practices like error budgets and SLOs

Getting Started

You don't need a dedicated SRE team to adopt SRE practices:

  1. Define SLOs for your critical services
  2. Track error budgets
  3. Automate repetitive operations tasks
  4. Use Bugsly to monitor error rates against your SLOs
  5. Conduct blameless postmortems

SRE isn't about perfection — it's about being intentional about reliability and making data-driven decisions about when to invest in stability versus features.

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