Transparent Data Reduction in the Private Cloud
Tom Cook, Permabit’s CEO, recently discussed how to control private cloud infrastructure and software costs by utilizing data reduction software. Data reduction makes private cloud more affordable than ever. This is why, as you’re readying your private cloud deployment, you should be sure it has data reduction capabilities from the get-go.
How should you implement data reduction as part of your private cloud deployment? If you’re implementing on Linux, the best and easiest route is with Permabit Virtual Data Optimizer (VDO). VDO provides all three of the key data reduction technologies you’ll need to maximize storage savings including: thin provisioning, data deduplication and HIOPS compression. Implemented as a driver for the Linux device mapper, VDO operates at the same level in the Linux kernel as core data management services such as virtualization (LVM), data protection (md/dm-raid), and encryption (dm-crypt). Because VDO is a device mapper target driver, it’s transparent to persistent and ephemeral storage services (such as those managed in OpenStack and OpenShift environments). VDO data reduction “just-works” regardless of whether the storage layers above are providing object, block, compute, or file based access.
VDO – Seamless and Transparent Data Reduction
The same transparency applies to the applications running above the storage service level. It is this level of operational transparency, combined with the outstanding performance and resource efficiency of Permabit’s patented deduplication and HIOPS Compression technologies, that enables VDO to be deployed seamlessly with any application with the lowest possible overhead.
Because of this, customers use VDO today to realize savings up to 6:1 data reduction rates across a wide range of use cases.
Here are just some of the workflows that benefit heavily from data reduction:
- Logging: messaging, events, system and application logs
- Monitoring: alerting, and tracing systems
- Database: databases with textual content, NOSQL approaches such as MongoDB and Hadoop
- User Data: home directories, development build environments
- Virtualization and containers: virtual server, VDI, and container system image storage
- Live system backups: used for rapid disaster recovery
Today’s private cloud is more scalable, flexible, agile, easy and efficient than the IT infrastructures of the past. With data reduction, cumulative cost savings can be achieved across a wide range of use cases which makes deduplication and compression so attractive for private cloud deployments. With Data Reduction, private clouds can cost substantially less than traditional data centers!