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Better Practice of Site Reliability Engineering


What is Site Reliability Engineering (SRE)?

Site Reliability Engineering (SRE) is an approach to managing and operating large-scale, complex software systems. It emerged as a discipline within the field of software engineering to address the growing need for reliable and scalable infrastructure. SRE combines software engineering principles with operational expertise to ensure service reliability, performance, and availability. By treating infrastructure and application configurations as part of the software release cycle, SREs can effectively manage and maintain complex systems.

The need for SRE arose due to the increasing complexity of modern software systems, which often involve distributed architectures, cloud platforms, and rapid deployment cycles. As organizations strive to provide highly available and reliable services, SRE has become instrumental in aligning development and operations teams, fostering collaboration, and establishing resilient systems that can handle the demands of today’s digital landscape.

SRE Basic Concepts

Service level indicators

Service level indicators (SLIs) are a foundational concept in SRE. All the other concepts build on top of SLIs. In the book Site Reliability Engineering: How Google Runs Production Systems, an SLI is succinctly defined as “a service level indicator - a carefully defined quantitative measure of some aspect of the level of service that is provided.”


SLI = [Good events / Valid events] x 100

System Categories and Relevant SLIs

System Type Relevant SLIs Questions Answered by SLIs
User-facing serving systems Availability
Could we respond to the request?
How long did it take to respond?
How many requests could be handled?
Storage systems Availability
How long does it take to read or write data?
Can we access the data on demand?
Is the data still there when we need it?
Big data systems Throughput
End-to-end latency
How much data is being processed?
How long does it take the data to progress from ingestion to completion?

Service Level Objectives

Whereas SLIs are about customer expectations, SLOs are about how those expectations will be met.

Reliability level Per year Per quarter Per 30 days
90% 36.5 days 9 days 3 days
95% 18.25 days 4.5 days 1.5 days
99% 3.65 days 21.6 hours 7.2 hours
99.5% 1.83 days 10.8 hours 3.6 hours
99.9% 8.76 hours 2.16 hours 43.2 minutes
99.95% 4.38 hours 1.08 hours 21.6 minutes
99.99% 52.6 minutes 12.96 minutes 4.32 minutes
99.999% 5.26 minutes 1.30 minutes 25.9 seconds

Error Budget

Error Budget

error budget = maximum service level – SLO threshold

SRE Concept Pyramid


General Practices



  1. Hire only coders.
  2. Have an SLA for your service.
  3. Measure and report performance against the SLA.
  4. Use Error Budgets and gate launches on them.
  5. Have a common staffing pool for SRE and Developers.
  6. Have excess Ops work overflow to the Dev team.
  7. Cap SRE operational load at 50 percent.
  8. Share 5 percent of Ops work with the Dev team.
  9. Oncall teams should have at least eight people at one location, or six people at each of multiple locations.
  10. Aim for a maximum of two events per oncall shift.
  11. Do a postmortem for every event.
  12. Postmortems are blameless and focus on process and technology, not people.


Image of web terminology

SOW - Scope of Work

Image of SOW


  1. 组织定位
  2. 监控建设
  3. 变更管理
  4. 异常响应
  5. 稳定性治理
  6. 事故复盘
  7. 容量管理
  8. 成本控制
  9. 活动保障

Infrastructure Life Cycle


  • Configuration
  • Startup and shutdown
  • Queue draining
  • Software upgrades
  • Backups and restores
  • Redundancy
  • Replicated databases
  • Hot swaps
  • Toggles for individual features
  • Graceful degradation
  • Access controls and rate limits
  • Data import controls
  • Monitoring
  • Auditing
  • Debug instrumentation
  • Exception collection


  • Establishing SRE Foundations: A Step-by-Step Guide to Introducing Site Reliability Engineering in Software Delivery Organizations (Vladyslav Ukis)
  • The Art of Site Reliability Engineering (SRE) with Azure: Building and Deploying Applications That Endure (Unai Huete Beloki)
  • Chaos Engineering: Site reliability through controlled disruption (Mikolaj Pawlikowski)
  • Hands-on Site Reliability Engineering (Shamayel Mohammed Farooqui; Vishnu Vardhan Chikoti)
  • 《大型网站运维:从系统管理到SRE》
  • SRE in the Real World
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