Site Reliability Engineering

Site Reliability Engineering (SRE) — originated at Google and documented in the Google SRE book — is the discipline of applying software engineering to operations problems. SREs use code to automate operational tasks, define reliability in measurable terms (Service Level Objectives), and use error budgets to manage the tradeoff between reliability and velocity. The fundamental insight is that reliability is a feature — it must be designed, built, measured, and continuously improved like any other feature.

Service Level Objectives (SLOs) are the core engineering artifact of SRE. An SLO defines a target reliability level for a specific user-facing behavior — for example, 99.9% of HTTP requests completing in under 200ms. The error budget is the inverse: 0.1% of requests are allowed to fail or be slow. When the error budget is consumed, engineering velocity is throttled until reliability recovers. This creates an automatic feedback loop that prevents reliability debt from accumulating invisibly.

SRE practices have direct compliance implications. SOC 2's Availability criterion requires documented commitments about system availability and evidence that those commitments are met. Organizations with SLO programs have this evidence continuously — dashboards showing SLO performance over time, incident records showing how the team responded to SLO breaches, and error budget reports showing the reliability trend. This is fundamentally better compliance evidence than quarterly availability reports.

We implement SRE programs for engineering teams — defining SLIs and SLOs in collaboration with product and business stakeholders, building the monitoring and alerting infrastructure to measure them, establishing error budget policies that connect reliability to development velocity, and running blameless postmortems that produce actionable improvements. Our SRE implementations generate continuous compliance evidence for SOC 2 and FedRAMP availability requirements.

Compliance-Native Architecture Guide

Design principles and a structured checklist for building software that is compliant by default — not compliant by retrofit. Covers data architecture, access controls, audit trails, and vendor due diligence.