As anyone running modern data applications in the cloud knows, costs can mushroom out of control very quickly and easily. Getting these costs under control is really all about not spending more than you have to. Unfortunately, the common approach to managing these expenses—which looks at things only at an aggregated infrastructure level—helps control only about 5% of your cloud spend.
API-first companies rely on a broad suite of services to build their APIs and generate value for their customers. Multiple teams may develop APIs using different technologies. Through processes and tools, you want those APIs to be consistent with your API consumers (whether internal or external). One tool companies employ to bring multiple APIs together is an API gateway.
Every mobile team, regardless of size, needs to invest time and resources into a robust set of testing practices. In this article, we'll present a quick-start guide to unit testing.
In this series of blog posts, we will showcase an end-to-end hybrid cloud ML workflow using the Iguazio MLOps Platform & Feature Store combined with Azure ML. This blog will be more of an overview of the solution and the types of problems it solves, while the next parts will be a technical deep dive into each step of the process.
Read this hands-on guide to learn how to use the Bitrise Test Report add-on to visualize your test results for your development team!
