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Now what? You have to go update the repla config. So in those worlds, if you spend the next 3-4 months trying to make a Kubernetes operator for Oracle, now you’re really wasting time, because a thing you can’t afford is if there’s one misstep, one miscalculation, the pod restarts and it gets a new IP. You don’t need all of this failover capabilities, because there’s nowhere to failover to. So in that kind of world, you know what two or three machines is going to run on. So there’s never going to be a world where you’re gonna have a hundred of these machines around, and Kubernetes can just pick one. You could say “I could use a Kubernetes manifest to deploy it in case when the machine goes down”, but the truth is most companies can only afford two or three of those machines that are qualified to even run this kind of database. So if you think about moving that to Kubernetes, what value are you going to get? You could say “I could now put my database in a container image.” That probably wasn’t your number one problem, at all. You will pay 3x to make sure that the database is always performing well. A lot of people have never run a database like Oracle or Db2 in an environment where there wasn’t redundant RAID controllers, redundant network interfaces. You’re not optimizing for convenience, you’re optimizing for performance. Typically, when you think about a database with a custom file system, you need all the bandwidth you can get, so we use custom network cards you’re trying to do everything you can to get the maximum amount of performance. This is people’s money the cost is very high, and the return on value is very low. They can’t have it go down for 2 or 3 minutes because a DaemonSet or a Kubernetes upgrade. So let’s think about context… I used to work in large enterprises, financial services that have petabytes of data in the database.

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