SLO Practical Implementation Guide

Sre

From Theory to Running SLOs#

Every SRE resource explains what SLOs are. Few explain how to actually implement them from scratch – the Prometheus queries, the error budget math, the alerting rules, and the conversations with product managers when the budget runs out. This guide covers all of it.

Step 1: Choose Your SLIs#

SLIs must measure what users experience. Internal metrics like CPU usage or queue depth are useful for debugging but are not SLIs because users do not care about your CPU – they care whether the page loaded.

Reliability Review Process

Sre

Why Regular Reviews Matter#

Reliability does not improve by accident. Without a structured review cadence, teams operate on vibes – “things feel okay” or “we’ve been having a lot of incidents lately.” Reliability reviews replace gut feelings with data. They surface slow-burning problems before they become outages, hold teams accountable for improvement actions, and create a shared understanding of system health across engineering and leadership.

Weekly Reliability Review#

The weekly review is a 30-minute tactical meeting focused on what happened this week and what needs attention next week. Attendees: on-call engineers, team leads, SRE. Keep it tight.

SRE Fundamentals: SLOs, Error Budgets, and Reliability Practices

Sre

The SRE Model#

Site Reliability Engineering treats operations as a software engineering problem. Instead of a wall between developers who ship features and operators who keep things running, SRE defines reliability as a feature – one that can be measured, budgeted, and traded against velocity. The core insight is that 100% reliability is the wrong target. Users cannot tell the difference between 99.99% and 100%, but the engineering cost to close that gap is enormous. SRE makes this tradeoff explicit through service level objectives.

SLOs, Error Budgets, and SLI Implementation with Prometheus

SLI, SLO, and SLA – What They Actually Mean#

An SLI (Service Level Indicator) is a quantitative measurement of service quality – a number computed from your metrics. Examples: the proportion of successful HTTP requests, the proportion of requests faster than 500ms, the proportion of jobs completing within their deadline.

An SLO (Service Level Objective) is a target value for an SLI. It is an internal engineering commitment: “99.9% of requests will succeed over a 30-day rolling window.”