SRE (Site Reliability Engineering) is a discipline that applies software engineering principles to infrastructure and operations.
SRE (coined by Google) focuses on automation, monitoring, and reliability. Key concepts: SLO/SLI/SLA, error budgets, postmortems, toil reduction. By 2026, "platform engineering" (building internal developer platforms) increasingly replaces traditional SRE roles. Tools: Datadog, PagerDuty, Grafana, GitHub Actions.
SRE balances reliability and velocity. Without it, teams either ship too fast and break things or freeze deploys and stall progress; SRE gives organizations a structured way to decide which trade-off is appropriate when.
An SRE team defines a 99.95% availability SLO for the checkout service, sets an error budget, and freezes risky deploys when the budget is burning faster than allowed — keeping reliability without freezing innovation.
SRE is not just "ops with a new name." It is a discipline that applies software engineering practices to operational problems: automating toil, defining SLOs, and running blameless postmortems.
Start with one or two SLOs on user-facing services rather than instrumenting everything; SLOs that everyone understands and respects beat dozens nobody enforces.
SRE (Site Reliability Engineering) falls under the Engineering category.
These tools put sre into practice. Compare features, pricing, and ratings:
The ability to understand a system's internal state from its external outputs (logs, metrics, traces).
Automated software delivery practices that test and deploy code changes continuously.
An open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.
Now that you understand SRE, explore the best tools in this category.