Site Reliability Engineering: Mastering SLO and Error Budget

Master requirements engineering by capturing needs, differentiating functional and non-functional requirements such as performance, reliability, security, usability, and scalability, and identifying which service levels to monitor.

Identify non-functional requirements by asking about service speed, downtime, daily requests, and data retention, and align with stakeholders and SLAs for reliable design.

Define and monitor service level indicators (SLIs) to quantify performance, reliability, and availability. Track availability, completeness, and latency to anticipate issues before customer impact.

Explore additional SLI types to tailor reliability metrics for specific cases, including Freshness SLI, Quality SLI, Correctness SLI, Throughput SLI, Durability SLI, and Security SLI.

Adopting service levels establishes clear reliability targets and latency and throughput metrics, improving performance and accountability while enhancing cross-team communication and rapid issue resolution through real-time monitoring.

Monitor software health with sli tools like Prometheus and Grafana that provide real-time visibility into latency and availability, with alerts and reporting to meet slos.

Define a service level objective (SLO) as a reliability target expressed as a percentage or numerical goal, then monitor and evaluate performance to meet customer expectations.

Differentiate SLA from SLO by comparing a formal contract with a precise performance target, and set internal goals stricter than SLA to monitor service quality metrics and prevent violations.

Establish SLO targets for SLIs to ensure speed, reliability, and accuracy. Set latency, availability, and completeness SLOs, such as 3-second homepage load for 99% of users.

Adopt SLO best practices by starting with softer targets, collaborating with business and product teams, and using observability tools to tailor SLOs for key business flows with safety margins.

Discover non-functional requirements via contracts, SLAs, and stakeholder interviews, select an SLI, set a measurable SLO, and prepare dashboards to monitor business flows with Grafana or Looker.

Analyze how error budgets relate to availability and latency SLOs. See 99.9% availability with a 10-minute weekly budget and 95% latency within 5 seconds, via the 100% minus SLO% rule.

Monitor the error budget of your SLO to prioritize work, manage risk, and improve reliability; use insights to meet SLAs, boost customer satisfaction, and improve communication with stakeholders.

The lecture defines an error budget policy as an agreement that guides recovery actions and prioritizes work when SLOs are not met, detailing degradation levels, escalation, on-call, and outage policies.

Software and quality assurance engineers collaborate with product managers and engineering leaders to design services, monitor with observability, automate testing, and drive incident response to uphold SLOs and error budgets.

Learn how DevOps and site reliability engineers drive reliability across the software development life cycle by setting SLIs, SLOs, and error budgets, and guiding resilient production deployments.

Product and project managers drive reliability by gathering requirements and SLAs, setting SLOs, planning risk management, and guiding incident response and data-driven improvements by approving an error budget policy.

Executives set leadership for reliability, establish SLO targets, monitor progress, and align cross-functional teams through collaboration, incident response, and error budget policy review to improve products and customer satisfaction.

Celebrate completing the course and apply SLOs, SLIs, and error budgets to build reliable services, set benchmarks, collaborate across teams, and pursue continuous improvement.