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Looking for cloud agnostic cluster management and centralised visibility? Look no further than D2iQ

  • By Andrew K.
  • on 07/27/2021

What do you like best about the product?
I love that I can spin up a cluster using industry-standard tools in minutes and, without any configuration, have a centralized dashboard and logging capability for all my managed k8s clusters. Also, once installed, you communicate with your clusters the same way you are used to, i.e. using kubectl. It's this none wrapping of open source technologies that I think makes D2iQ stand out from its competitors.
What do you dislike about the product?
There is not much that I dislike about D2iQ's offering, but if I had to point out something, it might be their documentation. Although they have better documentation than some other companies, they could certainly improve on the sections that explain in detail how their platform works. They do have great regular blog posts that go into a lot of this, but collating a lot of this into a single place would be a great idea.
What problems is the product solving and how is that benefiting you?
In the world of multi-cloud environments, the fact that D2iQ is cloud-agnostic means that I don't need to think much about which cloud provider I am running my clusters on. I, therefore, have more time to spend on the actual application than on what it's running on, which is brilliant. D2iQ gives me the ability to spin up a cluster already configured and ready to go with all the tools I need to run a production-grade application in k8s.
Recommendations to others considering the product:
If you are looking for a tool that removes the hard part of setting up and managing a cluster with production-grade tools, then look no further than D2iQ Konvoy & Kommander. The ability to be able to manage multiple clusters on different cloud providers using managed or non-managed services or even on air-gapped servers within a single interface, I think, is just brilliant. I would highly recommend D2iQ to anyone running production k8s clusters.


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