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How To Stop Worrying and Start Loving Databases on Kubernetes
- Kubernetes has transformed deployment and management for cloud native applications. However, many teams still hesitate when running databases on Kubernetes due to concerns about storage persistence, data integrity and operational complexity.
- Kubernetes uses the term 'Operator Pattern' to define an algorithm for managing stateful workloads. Kubernetes Operators are codebases that encapsulate operational knowledge into automation tasks that manage stateful deployments on Kubernetes.
- When choosing a Kubernetes Operator, essential factors to consider include: backups, monitoring, disaster recovery, high availability and connection scaling.
- When it comes to cloud native principles, storage architecture, disk storage solutions and object storage should be considered for backups and transaction logs.
- Kubernetes' strength is scaling applications effortlessly. Modern Kubernetes database operators enable vertical, horizontal and down scaling, as well as routine updates and maintenance.
- A known path paved with mature Operators is available for running databases on Kubernetes. By doing so, teams can build on the success of prior experience and offer innovative applications that achieve user value.
- To learn more about Kubernetes and the cloud native ecosystem, join KubeCon + CloudNativeCon North America, in Salt Lake City, Utah, on Nov. 12-15, 2024.
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