Replies: 6 comments
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if one look to other databases, there are some really great approaches/examples how one could make discoverability and usage very easy. |
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some great background on databases within kubernetes (-> howto) is shown in this video from devopstoolkit: |
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You are raising a very good concern. There should indeed be more documentation and resources on how to deploy TerminusDB on Kubernetes. Fortunately I can say that it is possible to use TerminusDB on a Kubernetes cluster. We have TerminusDB deployed ourselves in a Kubernetes cluster on AWS. It would be good to document how we approached this. There are multiple solutions: either you have one deployment with a local disk, which is less scalable. Or you have multiple deployments with a shared storage like NFS, which is better scalable but sacrifices read/write performance. In the future, we would like to implement mechanisms to increase the scalability even further while sacrificing less performance, like using blob storage but with a fast local cache. |
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great to here you already have a running system in Kubernetes! |
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As idea, just the list of features, what is possible/made accessible with this "cloudnative postgre" kubernetes operator: |
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as addition to cloudnative-pg database example, and this is another db specific topic which can be solved in kubernetes with CRD and CC: CRD+CC=>Operator |
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terminusDB offers already many possibilities/features an enterprise graphdb for certain use cases should offer.
From my perspective, there is one missing,
which gives a big hurdle to use it.
Most enterprises today rely on Kubernetes or will do in the near future, because
=> so all of them, when looking for
a. a graph database or
b. an enterprise database or
c. an...what ever... database
search for
a/b/c + Kubernetes
.Searching this way, they will hardly find/discover terminusDB.
Even if they find it, and search on
they are not welcomed with open arms, because there are zero results, see
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