Radiant Observability: Practical Benchmarks for Serverless System Health
This guide provides practical benchmarks for observability in serverless systems, moving beyond theoretical metrics to actionable thresholds. We explore key indicators like cold start latency, error budgets, and cost-per-invocation, offering frameworks for setting alerting rules, choosing the right tools, and avoiding common pitfalls. Whether you’re managing a few functions or a sprawling event-driven architecture, these benchmarks help you maintain system health without over-engineering. The article includes step-by-step instructions for implementing a basic observability stack, a comparison of popular tools (AWS X-Ray, Datadog, and open-source alternatives), and a decision checklist for when to invest in deeper instrumentation. Real-world scenarios illustrate trade-offs between granularity and cost. Written for engineering teams seeking a balanced, practical approach to serverless monitoring.