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@marina-tkachuk
• 3 days ago
Common mistakes companies make during Kubernetes migration
When our team started moving workloads to kubernetes consulting , we underestimated how much planning it actually takes. We thought it’d be a quick lift-and-shift, but networking, persistent storage, and security policies turned into a nightmare. Curious what others ran into during migration? Especially around managing stateful apps and setting up proper CI/CD workflows — those parts gave us the most trouble.
Totally agree with that last point about documentation. We struggled most after the migration because no one remembered why certain decisions were made. Having proper notes on resource allocation, secrets handling, and rollout strategies would’ve saved us hours of debugging. It’s one of those “learn the hard way” things.
Oh man, that sounds familiar. The biggest mistake I’ve seen is treating Kubernetes like a simple VM replacement — it’s really not. A lot of teams skip over the architecture design phase and end up firefighting configuration issues later. For example, some forget to separate staging and production namespaces or fail to implement proper resource limits, leading to memory leaks and node crashes. I’ve worked with StackOverdrive’s Kubernetes consulting team before, and their approach really focuses on that pre-migration discovery phase — mapping dependencies, analyzing workloads, and setting up observability before touching production. That kind of groundwork saves a ton of pain down the road. Also, don’t underestimate the importance of internal knowledge transfer once everything’s live — documentation is gold.