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“Should I run my database in Kubernetes?” It’s a simple question without a simple answer because the honest answer is: “it depends.” And while there may be extensive benefits, there are also trade-offs. But any decision hinges on what is right for your use case.
Kubernetes is the platform of choice for managing containerized workloads and services. Most executives and developers now agree that the benefits far outweigh the challenges. And even the largest enterprises are using the platform to run stateless and stateful applications on-premises or as hybrid cloud deployments in production.
But matters become more complicated when we think about data and the Kubernetes ecosystem. Stateful applications demand a new database architecture that takes into account the scale, latency, availability and security needs of applications. How do you know which database architecture is best equipped to handle these challenges?
In this article, we’ll discuss the benefits and potential trade-offs of running a database in Kubernetes and explore how many of these trade-offs can be mitigated. Let’s start with the benefits:
Better resource utilization
The mass adoption of microservices architecture leads to a lot of relatively small databases with a finite number of nodes. This creates significant management challenges, and companies often struggle to optimally allocate their databases. But running Kubernetes provides an infrastructure-as-code approach to these challenges. This makes it easy to handle multiple microservices deployments at scale, while optimizing resource utilization on...