From Datadog to CI Tests: Catch Regressions Before Deploy
Learn a practical workflow to convert Datadog metrics, traces, and incidents into CI tests that catch regressions before deploy.
Posts by Ken Ahrens
Co-founder and CEO of Speedscale, passionate about performance engineering. • 9 posts published
Why You Should Stop Buying SaaS and Start Building It
LLMs have collapsed the cost of custom internal tools. Here's the startup distribution problem I've watched kill companies — and how I vibe-coded my way out.
FastAPI Testing: Mock LLM APIs for Free
Record real LLM traffic from a FastAPI app, mock it locally, and replay it in CI with proxymock.
The Hidden AI Bill: Why Non-Prod LLM Costs Spiral
Production AI spend gets attention. Non-prod LLM calls in development, CI, and load tests often do not. Simulation fixes that.
Your Flaky Tests Are a Data Problem, Not a Test Problem
Most flaky test fixes focus on retries and quarantine. The real fix is replacing hand-written test data with recorded traffic that stays fresh.
WireMock vs MockServer vs Proxymock: Java Mocking in 2026
Compare WireMock, MockServer, proxymock for enterprise Java API mocking. See how each handles recorded traffic, Kubernetes, CI/CD, AI-generated code.
Spring Boot API Testing: A Practical Guide for Enterprise Teams
Enterprise Spring Boot APIs need more than unit tests. Learn how to test external service integrations, JWT auth, production edge cases with real traffic.
Runtime Validation vs Static Analysis: Why You Need Both
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.
Silent Failures: Why AI Code Breaks in Production
AI-generated code compiles clean but breaks in production. Learn why static analysis misses behavioral failures and how runtime validation catches them.
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