Kubernetes Persistent Volumes vs Cloud Storage
Developers should learn and use Kubernetes Persistent Volumes when deploying stateful applications like databases (e meets developers should learn cloud storage for building scalable applications that require reliable data persistence, such as web apps, mobile backends, or data analytics platforms. Here's our take.
Kubernetes Persistent Volumes
Developers should learn and use Kubernetes Persistent Volumes when deploying stateful applications like databases (e
Kubernetes Persistent Volumes
Nice PickDevelopers should learn and use Kubernetes Persistent Volumes when deploying stateful applications like databases (e
Pros
- +g
- +Related to: kubernetes, persistentvolumeclaims
Cons
- -Specific tradeoffs depend on your use case
Cloud Storage
Developers should learn cloud storage for building scalable applications that require reliable data persistence, such as web apps, mobile backends, or data analytics platforms
Pros
- +It's essential when handling large volumes of unstructured data (e
- +Related to: aws-s3, google-cloud-storage
Cons
- -Specific tradeoffs depend on your use case
The Verdict
These tools serve different purposes. Kubernetes Persistent Volumes is a concept while Cloud Storage is a platform. We picked Kubernetes Persistent Volumes based on overall popularity, but your choice depends on what you're building.
Based on overall popularity. Kubernetes Persistent Volumes is more widely used, but Cloud Storage excels in its own space.
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