Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector
Learn how to capture, inspect, and archive encrypted microservice traffic with Speedscale's eBPF collector—no certificate management or code changes required.
Posts by Matthew LeRay
Matthew LeRay is a contributor to the Speedscale blog. • 9 posts published
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 releases.
How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches. Built for batch processing and monolithic databases, traditional synthetic data methods (still called 'Test Data Management' by legacy vendors) can't handle modern streaming systems—and AI is exposing these weaknesses faster than ever.
Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes
Use traffic replay via MCP to create a tight feedback loop for AI coding agents, preventing hallucinated success by validating against immutable production traffic snapshots.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs. Explore the hidden nature of PII in modern systems and why traditional test data approaches fall short.
Moving Our Observability Data Collector from Sidecars to eBPF
Speedscale transitions from Kubernetes sidecar-based observability collection to eBPF for lower latency, reduced resource consumption, and improved performance without sacrificing visibility.
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