How to work with shared dev clusters (and why) – Part III: What works, and what doesn’t work

This is the last article of a 3 part series. In the first article, you learned about the challenges when devs who work on Kubernetes-based applications try to run all services locally. In the second one I showed you how quickly factorials grow when services aren’t shareable, why you most certainly already have a complex setup and what are the real costs of running everything locally. Now we take a look at the solutions.

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