Automating API Mocks in Your CI Pipeline with proxymock
Introduction When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to
Ken Ahrens
March 25, 2025
Introduction When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to
Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications. However one
In the half-decade since gRPC became part of our production ecosystem, we’ve encountered a range of challenges and discovered a few hidden
Introduction In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM)
Explore how mocking AI APIs transforms modern application development. By simulating real-world AI behavior, teams can rapidly test performance, validate error-handling, and
Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively grasping the
Using a mock server is a popular method of working around these limitations and realities, allowing you to test web server assets
Ephemeral environments can accelerate testing and are a better alternative than expensive, long lived environments. Learn about the pros and cons in
When simulating API interactions without a backend, JSON mock API solutions can come in handy, allowing you a high degree of freedom
Cloud development environments (CDEs) have been reshaping how developers build, test, and deploy applications.
Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature
Introduction When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to
Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications. However one
In the half-decade since gRPC became part of our production ecosystem, we’ve encountered a range of challenges and discovered a few hidden
Introduction In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM)
Explore how mocking AI APIs transforms modern application development. By simulating real-world AI behavior, teams can rapidly test performance, validate error-handling, and
Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively grasping the
Using a mock server is a popular method of working around these limitations and realities, allowing you to test web server assets
Ephemeral environments can accelerate testing and are a better alternative than expensive, long lived environments. Learn about the pros and cons in
When simulating API interactions without a backend, JSON mock API solutions can come in handy, allowing you a high degree of freedom
Cloud development environments (CDEs) have been reshaping how developers build, test, and deploy applications.
Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature
Product
