EdgeSLOKit

EdgeSLOKit is a web app (with optional CLI) that helps teams set, measure, and enforce reliability targets for serverless and edge workloads across multiple providers. It ingests logs, traces, and metrics from Cloudflare Workers, Vercel/Netlify Functions, and AWS Lambda@Edge, then maps them into user-defined SLOs (latency, error rate, cold starts, regional availability). The core value is “incident replay”: when an outage or spike happens, EdgeSLOKit captures the exact request patterns, headers, geo distribution, and upstream dependencies, then lets you replay them safely against a staging edge environment to validate fixes. It also flags SLO burn-rate risks and suggests concrete mitigations (cache rules, routing changes, timeout tuning) with provider-specific runbooks. This is not a generic observability tool; it’s a reliability workflow focused on edge-specific failure modes like regional POP issues, cache stampedes, and third-party latency amplification.