The Observability Gap: Why Monitoring Data Should Drive Tests
Teams spend six figures on observability but test with synthetic data. Close the gap between what you know about production and what you validate pre-release.
Posts by Matt LeRay
Co-founder and CTO of Speedscale, expert in Agentic AI and cloud data warehousing. • 9 posts published
Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector
Learn how to capture, inspect, archive encrypted microservice traffic with Speedscale's eBPF collector, no certificate management or code changes required.
Speedscale Launches proxymock OpenClaw Skill on ClawHub
Speedscale launches proxymock as an OpenClaw skill on ClawHub, bringing traffic replay and production context to Claude for improved reliability.
Oracle JDK to OpenJDK: A Guide to Reliable Migration Testing
Record production traffic on Oracle JDK, replay it on OpenJDK, and catch every regression before users do. A step-by-step Speedscale guide.
Speedscale Named in Gartner® Market Guide for API Testing
Speedscale is a Representative Vendor in the Gartner Market Guide for API and MCP Testing Tools. See how traffic replay modernizes testing.
DLP, Traffic Replay, and the Missing Link to Software Quality
DLP applied to production traffic enables safe observability and realistic traffic replay, closing the gap between testing and production for faster.
How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches.
API Testing Tools Best Practices Guide
Today’s software testing trends show the growing demand for more efficient and automated API testing.
Using Python MockServer for API Testing
Using a mock server is a popular method of working around these limitations and realities, you to test web server assets against specific requests...
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