Webinar Replay: The 4 Biggest Challenges of Scaling Cloud-Native AI Workloads
When working with AI in cloud environments, traditional data provisioning and software testing methods don't work because of the behavior of AI and LLM APIs.
Posts about service mocking
Browse 8 posts in this category
How to Mock APIS in Kubernetes Best Practices
Mock APIs in Kubernetes are used to simulate actual API requests during API testing. This is useful for detecting issues early in development...
Top 8 API Mocking Tools and Methodologies
API mocking plays a critical role in software development to isolate the system under test, reducing dependencies across teams, and streamlining the entire...
Service Mocking with Internal Developer Platforms
With the growing prevalence of cloud-native environments, platform teams' infrastructures are increasingly dependent on various integrated APIs, microservices...
Gatling vs. Speedscale for Kubernetes Load Testing
Gatling and Speedscale are two popular performance testing tools and load testing web applications. The first version of Gatling was released in 2012 by its...
Top Use Cases for Mock Services in Software
Mocking APIs is a popular practice in software development, with an increasing number of developers now reaping the benefits–and no longer using their valuable...
Advantages of Service Virtualization Over Service Mocking
Service mocking, API mocking, stubs, test doubles, fake APIs, service virtualization tools…the list goes on for testing tools with the purpose of mimicking...
How to Mock gRPC APIs
Developing APIs can be a complex process, particularly when you want to ensure they perform as expected under various real-world conditions.