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
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...
AI Prediction for 2026
Explore 5 bold AI predictions for 2026. From the burst of the AI bubble to the rise of 'vibe coding' and agentic workflows, discover why the future of.
Six Lessons from Production gRPC
In the half-decade since gRPC became part of our production ecosystem, we’ve encountered a range of challenges and discovered a few hidden pitfalls that.
Modernize Test Data Management with Traffic Replay
In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire...
Graphql vs GRPC : Key Differences
APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance...
Python Observability : A Complete Guide
Observability is a critical element of modern software development, unlocking awareness across complex and distributed systems with ease.
Platform Engineering vs. DevOps
Many engineering organizations have recently begun adopting the practice of platform engineering as a way to increase the velocity of new features being...
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