I’m happy to help announce the launch of a new community — the Data On Kubernetes Community. The Dok.community is an openly governed and self-organizing group of curious and experienced operators and engineers concerned with running data-intensive workloads on Kubernetes. DoKc takes inspiration from the CNCF and Apache foundations and aims like each of them to be open, vendor-neutral, and extremely inclusive.
Unlike each of these foundations, the purpose of DoKc is to openly develop, share, and discuss engineering and operation patterns as opposed to particular projects. While DoKc is an open-source community it is a community focused on knowledge generation and sharing as opposed to becoming a home for open source projects (and their trademarks).
DOKCs is for all those that are interested in using Kubernetes to serve and manage data in their organization. 2020 has emerged as the year that data really migrated onto Kubernetes with the common workloads including CI/CD, machine learning, ecommerce systems such as Magento, instrumentation and monitoring and others. Almost any up to date stateful workload has seen a rapid increase in usage on Kubernetes.
In short, now that Kubernetes can handle high-value stateful workloads — it is all the more critical that the broader cloud native community share best practices. The potential of managing data on the same platform used to orchestrate is enormous and is just being uncovered. I am confident that the DOKC community will bring together practitioners and developers building Kubernetes and container attached storage and other related projects, thereby sparking more understanding and innovation.
Our founding sponsor MayaData; creators of the open-source project OpenEBS and the Kubernetes native chaos project Litmus has interacted with thousands of companies and individuals running data workloads on Kubernetes. These experiences helped uncover the need for an independent community to discuss and investigate useful patterns for the use of Kubernetes as a data layer.
Meant to mention @DoKcommunity is so far a cool independent place to also have such discussions, compare notes, hear from folks like Arista and Optoro and others. I highly recommend it. We did help seed it btw however it is an independent space
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