Popular data storage options for Kubernetes
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Data storage options in Kubernetes
A lot of examples and lab exercises in K8 focus on stateless applications. That's cool, but in this deepstash, we'll explore two options for data storage:
- Database Storage
- Kubernetes Persistent Volumes
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Technique #1: Database
One approach would be to store the data in a database independent of your cluster.
Example: A MySQL or PostgreSQL database running on a server that is separate from your cluster. Alternatively, you could leverage a managed database service like Azure SQL, Amazon RDS, etc.
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Technique #2: Kubernetes Persistent Volumes
Another approach would be to use Kubernetes Persistent Volumes. This is a type of data storage that exists in the cluster and remains even after a pod is destroyed. You can use a Kubernetes object called a "stateful set" to ensure that your updated application can communicate with the same volume as the previous pod.
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CURATOR'S NOTE
A quick primer on popular data storage techniques for kubernetes applications
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