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.
Posts by Matthew LeRay
Matthew LeRay is a contributor to the Speedscale blog. • 9 posts published
How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches.
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.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs.
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.
Let Your LLM Debug Using Production Recordings
Connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions.
How to Do Full-Text Search Across All Application Traffic with Speedscale
This how-to video shows how to use Speedscale's full-text traffic search to instantly find where a specific piece of data appears as it flows through your.
Peeking Under the Hood with Claude Code
Claude is one of the go-to AI-native code editors for developers. It provides a smooth and simple chat-based CLI that is easy to understand.
Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System
Learn how to build a traffic analysis tool for network traffic transformation. Complete guide covering traffic analysis techniques, parsing.
Try Speedscale free
Choose the desktop proxymock or the hosted cloud trial to get started.