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公开(公告)号:US20250165355A1
公开(公告)日:2025-05-22
申请号:US18934284
申请日:2024-11-01
Applicant: Commvault Systems, Inc.
Inventor: Amit Mitkar , Chandrakant AGARKAR , Jun H. AHN , Henry Wallace DORNEMANN , Andrei EROFEEV , Lawrence Fisher , Parag GOKHALE , Amey Vijaykumar KARANDIKAR , Sanath KUMAR , Sanjay KUMAR , Manoj Kumar PRADHAN , Mahesh PRAKASH RAO
Abstract: Because Kubernetes clusters can be ephemeral, backing up in-cluster data to storage outside the cluster is important. Prior art solutions used the cluster's API server, which facilitates communications with the cluster control plane, to transfer backup data through the API server. However, the API server as a data transfer node has resiliency weaknesses and can slow down backup job performance. The present solution provides a more streamlined and scalable approach, which circumvents the API server and additionally includes more robust error checking, log capture, and realtime job monitoring to provide improved data protection resilience. The disclosed approach employs a “sponsor” data agent outside the cluster and temporarily deploys a specialized backup resource within the cluster during a backup job, such as a lightweight Kubernetes File Client and/or an enhanced File System Data Agent, both of which present substantial performance and resiliency advantages over the API server.
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公开(公告)号:US20250165352A1
公开(公告)日:2025-05-22
申请号:US18934285
申请日:2024-11-01
Applicant: Commvault Systems, Inc.
Inventor: Amit Mitkar , Chandrakant AGARKAR , Jun H. AHN , Henry Wallace DORNEMANN , Andrei EROFEEV , Lawrence Fisher , Parag GOKHALE , Amey Vijaykumar KARANDIKAR , Sanath KUMAR , Sanjay KUMAR , Manoj Kumar PRADHAN , Mahesh PRAKASH RAO
Abstract: Because Kubernetes clusters can be ephemeral, backing up in-cluster data to storage outside the cluster is important. Prior art solutions used the cluster's API server, which facilitates communications with the cluster control plane, to transfer backup data through the API server. However, the API server as a data transfer node has resiliency weaknesses and can slow down backup job performance. The present solution provides a more streamlined and scalable approach, which circumvents the API server and additionally includes more robust error checking, log capture, and realtime job monitoring to provide improved data protection resilience. The disclosed approach employs a “sponsor” data agent outside the cluster and temporarily deploys a specialized backup resource within the cluster during a backup job, such as an enhanced File System Data Agent and/or a lightweight Kubernetes File Client, both of which present substantial performance and resiliency advantages over the API server.
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