Speedscale vs Coder: Ephemeral Developer Environments for Different Needs
Speedscale and Coder are two distinct tools that, while both aim to increase developer productivity, serve fundamentally different purposes.
Posts about service mocking
Browse 9 posts in this category
Seasonal Holiday Readiness Testing with Production Traffic
Many businesses depend on seasonal products, offerings, and campaigns. Seasonal traffic usually refers to high traffic levels because of festival seasons like...
Mastering Golang Mocks for Efficient Testing and Improved Code Quality
Although GoMock is one of the most popular ways to create mocks in Golang, it’s important to understand the broader landscape of mocking methods in the...
Crafting the Best Golang Developer Environments
Go is an open-source programming language and developer environment from Google that allows for incredibly efficient and powerful applications.
Optimizing DevOps with Kubernetes Ephemeral Environments: Efficient Testing and Deployment
Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting...
Join Ken on SMC Journal - Scaling Kubernetes, Microservices, and Ephemeral Environments
Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data...
Isolating Bottlenecks: How to Determine If Your Slowdown Is Due to the Database or API
Every slowdown in your application can be traced to specific components like a database or an API, and quickly identifying the source aids the troubleshooting...
Top 5 WireMock Alternatives Best Practices
WireMock is a popular open source tool for simulating APIs in testing environments through the wiremock server in the wiremock cloud.
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.