Today KIOXIA America Inc. announced that its KumoScale storage software now including Kubernetes CSI-compliant snapshots and clones. To the uninitiated, this doesn’t sound like a big announcement. However, today’s announcement enable users to reduce the time pressures associated with backup processes for large, stateful applications such as databases, at a lower storage ‘cost.’ The clone ability allows users to non-disruptively modify production data for development, test, or QA purposes.
Today KIOXIA America Inc. announced that its KumoScale storage software now including Kubernetes CSI-compliant snapshots and clones. To the uninitiated, this doesn’t sound like a big announcement. However, today’s announcement enable users to reduce the time pressures associated with backup processes for large, stateful applications such as databases, at a lower storage ‘cost.’ The clone ability allows users to non-disruptively modify production data for development, test, or QA purposes.
KumoScale is a storage software that is based off of NVMe over Fabrics (NVMe-oF). As we’ve shown in the past, this technology can really shoot up performance. KumoScale is also tightly integrated with the container storage orchestration technology, Kubernetes, through its robust CSI. These abilities lend themselves well to things like backing up large databases. However, databases can’t be taken offline for a backup, so adding snapshot capabilities is beneficial. A snapshot takes seconds while applications continue to run. KumoScale software can now be used with the CSI-compatible snapshot feature within Kubernetes 1.17.
On the clone side of this equation, KumoScale’s new clone function allows for the creation of many new volumes that start as clean copies of a snapshot. This allows for query development and QA tests on large data volumes without messing up production data. According to KOXIA the snapshot and clone feature help to open up the door to NVMe-oF technology use cases.
The New Snapshot and Clone Features Address the Following Use Cases:
- Populating production volume for Test & Dev purposes, such as parallel QA
- Forking a production volume for Test & Dev, including the testing of new queries on DB volume
- Volume migration across on-premise, cloud and archive
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