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Background: I'm a ML Engineer building up skillsets in MLOPs. I have experience with AWS and have a couple of AWS certs under my belt. For now, I'm reviewing how deep I should go with K8s, e.g. getting CKA certified etc.
Thoughts, please?
In many field basic Kubernetes skills have become expected, but you don’t need the certications to prove it.
It may depend on where in the world you’re located.
If you plan to manage on-prem Kubernetes clusters, I’d look into the certifications. If you just want to deploy to Kubernetes I wouldn’t bother. In many field basic Kubernetes skills have become expected, but you don’t need the certications to prove it. It may depend on where in the world you’re located.
But I'm also cognizant that as more applications are built on top of cloud native services (AWS/Azure/GCP), how relevant then would K8s be?
If you plan to manage on-prem Kubernetes clusters, I’d look into the certifications. If you just want to deploy to Kubernetes I wouldn’t bother. In many field basic Kubernetes skills have become expected, but you don’t need the certications to prove it. It may depend on where in the world you’re located.
I have the opportunity to setup a K8s cluster (simple one) on-prem and get it to work. It was an interesting experience. But I'm also cognizant that as more applications are built on top of cloud native services (AWS/Azure/GCP), how relevant then would K8s be?
Earlier quoted context omitted.
I have the opportunity to setup a K8s cluster (simple one) on-prem and get it to work. It was an interesting experience. But I'm also cognizant that as more applications are built on top of cloud native services (AWS/Azure/GCP), how relevant then would K8s be?
On the contrary, as companies rely more and more on the cloud, they chase the mirage of avoiding lock-in even more and k8s plays a big role in this