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Six Lessons from Production gRPC

Mar 31, 2025 By Matthew LeRay In Speedscale
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 can trip up even the most experienced teams. Below, we'll walk through some of the core lessons learned, with tips, best practices, and examples drawn straight from the trenches.
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Automating API Mocks in Your CI Pipeline with proxymock

Mar 25, 2025 By Ken Ahrens In Speedscale
When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.
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Service Mocks #speedscale #service #mocks #software

Mar 18, 2025 By Speedscale In Speedscale
Ken Ahrens from Speedscale break down the challenges with service mocks — from the complexity of building them to common misunderstandings about their purpose. Many think of mocks like unit test stubs, but service mocks are much more powerful. They can simulate production conditions right on your laptop, making testing more realistic and reliable.
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AI Integration #speedscale #ai #integration #mcp #march

Mar 18, 2025 By Speedscale In Speedscale
Ken Ahrens from Speescale dives into the best AI API integration model of March 2025 — Anthropic's MCP model. This innovative integration enables seamless communication with browsers and various tools, including the popular Cursor. Discover how the MCP model is revolutionizing AI-powered workflows and boosting productivity.
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How to Mock AI APIs Using proxymock

Mar 11, 2025 By Kristopher Sandoval In Speedscale
APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.
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