Running Database-as-a-Service (DBaaS) in the cloud is a common practice for organizations, and more are seeking to offer DBaaS on Kubernetes. Benefits include cost efficiencies, as well as providing a faster, more scalable development environment. While it has many benefits, managing a DBaaS on Kubernetes can be challenging.
In this panel, database experts from the Data on Kubernetes Community will discuss how to get started with Kubernetes and operators to run DBaaS, storage and security requirements, common patterns for deployment and Day 2 operations, how to leverage AI for DBaaS, and pitfalls to avoid. They will also share real world experiences from users running DBaaS on Kubernetes.
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