Defines and monitors Service Level Objectives (SLOs) and error budgets for serverless application reliability.
This skill provides expert guidance for establishing robust reliability targets in serverless environments by defining precise Service Level Indicators (SLIs) and Objectives (SLOs). It helps developers calculate error budgets, monitor latency percentiles, and track availability metrics to effectively balance development velocity with system stability. By providing structured patterns for monitoring definitions, it ensures that serverless functions meet performance expectations and offers actionable insights into burn rates for proactive incident management.
Key Features
01Monitoring of latency percentiles including p50, p95, and p99
02Burn rate alerting configurations to prevent SLO violations
03Definition of SLIs for latency, availability, and throughput
04Error budget calculation and management strategies
05Standardized SLO YAML definition generation for observability tools
060 GitHub stars
Use Cases
01Configuring proactive alerts based on latency degradation in serverless APIs
02Establishing reliability targets for a new production AWS Lambda microservice
03Calculating the impact of system outages on a team's monthly error budget
