Site Reliability Engineering (SRE) Practices
SRE applies software engineering principles to operations, focusing on reliability, scalability, and efficiency in production systems.
Why SRE Matters
- Define SLAs and SLOs: Measure and maintain reliability
- Error Budgets: Balance feature releases and system stability
- Automate Operations: Reduce manual interventions
- Proactive Monitoring: Detect issues before user impact
Workflow Example
- Define SLOs and error budgets
- Instrument services for monitoring
- Automate alerting and remediation
- Conduct post-incident analysis
- Continuously improve processes
Visual Diagram
flowchart TD
A[Define SLOs & SLIs] --> B[Monitor Systems]
B --> C[Alert on Violations]
C --> D[Automated Remediation]
D --> E[Post-Incident Review]
E --> F[Continuous Improvement]
Sample Code Snippet
slo:
name: "User Request Latency"
target: 99.9%
window: 30d
indicators:
- type: latency
threshold: 200ms
measurement: p99
alerts:
- condition: "slo_violated"
action: "notify_oncall"
Best Practices
- Measure SLIs that matter to users
- Track error budgets and enforce limits
- Automate repetitive operational tasks
- Conduct blameless post-mortems
Common Pitfalls
- Ignoring SLOs and error budgets
- Overlooking automation opportunities
- Not analyzing incidents thoroughly
Conclusion
SRE practices enable DevOps teams to balance reliability and velocity, ensuring scalable, highly available systems.