Can CCE PVCs Detect Underlying Storage Faults?
CCE PersistentVolumeClaims (PVCs) are implemented as they are in Kubernetes. A PVC is defined as a storage declaration and is decoupled from underlying storage. It is not responsible for detecting underlying storage details. Therefore, CCE PVCs cannot detect underlying storage faults.
Cloud Eye allows users to view cloud service metrics. These metrics are built-in based on cloud service attributes. After users enable a cloud service on the cloud platform, Cloud Eye automatically associates its built-in metrics. Users can track the cloud service status by monitoring these metrics.
It is recommended that users who have storage fault detection requirements use Cloud Eye to monitor underlying storage and send alarm notifications.
Storage FAQs
- What Are the Differences Among CCE Storage Classes in Terms of Persistent Storage and Multi-node Mounting?
- Can I Add a Node Without a Data Disk?
- What Should I Do If the Host Cannot Be Found When Files Need to Be Uploaded to OBS During the Access to the CCE Service from a Public Network?
- How Can I Achieve Compatibility Between ExtendPathMode and Kubernetes client-go?
- Can CCE PVCs Detect Underlying Storage Faults?
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