From Chaos to Confidence
Vision & Overview | Technical Operations Excellence
SRE is what happens when you ask a software engineer to design an operations team.
- Google SRE Book
| # | Theme | Focus |
|---|---|---|
| 1 | Foundations | SLOs, error budgets, toil |
| 2 | Observability | Three pillars, OTel, alerting |
| 3 | Resilience | Patterns, blast radius, defense |
| 4 | Incidents | Response, postmortems, HRO |
| 5 | Release | CI/CD, progressive delivery |
| 6 | Infrastructure | K8s, IaC, platform engineering |
| 7 | AI/ML Ops | Non-determinism, drift, MLOps |
| 8 | Agentic Ops | Bot operations, autonomy |
| 9 | Culture | Teams, on-call, sustainability |
| 10 | Industry | Case studies, benchmarks |
| Metric | Elite | Low |
|---|---|---|
| Deploy Frequency | On-demand | > 6 months |
| Lead Time | < 1 day | > 6 months |
| Change Failure | 0-15% | > 30% |
| MTTR | < 1 hour | > 6 months |
Source: DORA State of DevOps 2024 - 36,000+ professionals
| Latency | How fast? |
| Traffic | How much? |
| Errors | Failing? |
| Saturation | How full? |
Reliability is a Feature
Users don't distinguish between "the app is slow" and "the app is broken"
From Alert Fatigue to Autonomous Operations
70% auto-resolution | 30-second MTTD | <2 pages per on-call shift
Respond to incidents, triage alerts, execute runbooks
Trend analysis, capacity planning, SLO monitoring
Anomaly detection, AIOps, chaos engineering
Learn from industries where failure means lives lost.
- HRO Research
| Level | State | Characteristics |
|---|---|---|
| 1 | Ad-Hoc | Reactive, firefighting |
| 2 | Foundational | Basic monitoring, SLOs |
| 3 | Standardized | IaC, CI/CD, postmortems |
| 4 | Advanced | Predictive, chaos, AIOps |
| 5 | Optimized | Autonomous operations |
| SLI/SLO/SLA | Indicator / Objective / Agreement |
| MTTR/MTTD | Mean Time to Recover / Detect |
| DORA | DevOps Research & Assessment |
| HRO | High-Reliability Organization |