This is first of a series of posts on deploying vSphere Virtual Volumes (vVols) for Tier 1 Business Critical Databases by Sudhir Balasubramanian (Senior Solutions Architect – Data Platforms) and Mohan Potheri (Senior Solutions Architect). Although this article is written with a focus on Oracle databases, much of this discussion holds good for any mission-critical application.
Business critical databases are among the last workloads virtualized in enterprises, primarily because of the challenges that they pose with growth and scale. Typically the low hanging fruits are virtualizing the Development, Testing/QA, Staging databases after running a successful POC and then moving on the big guys (i.e. the Production databases).
There are many common concerns about virtualizing business critical databases that inhibit and delay virtualization of these workloads:
- Business critical virtualized databases need to meet strict SLAs for performance and storage has traditionally been the slowest component
- Databases grow quickly, while at the same time there is a need to reduce backup windows and their impact on system performance.
- There is a regular need to clone and refresh databases from production to QA and other environments. However, the size of the modern databases make it harder to clone and refresh data from production to other environments
- Databases of different levels of criticality need different storage performance characteristics and capabilities.
- There is a never-ending debate between DBAs and Systems administrators regarding filesystems VS raw devices and VMFS VS RDM. These are primarily due to some of the deficiencies that existed in the past with virtualization.
Levels of Database Operations on VMware Environments
Generally speaking, there are 3 levels from which regular database operations (i.e backup, cloning, etc) can be triggered: application level, vSphere level, and storage level.
Furthermore, each approach has benefits but also drawbacks. For instance, application level operations (Oracle RMAN, SQL) may provide finer operation granularity but performance is not optimal. vSphere level operations offer VM granularity but a VM level snapshot will stun a VM for some time during snapshot coalescing/deletion (KB 1002836 : A snapshot removal can stop a virtual machine for long time). Finally, storage level operations offer better performance but lack VM granularity as operations are executed at LUN level.
The Ideal Solution to Address Database Operation Challenges
An ideal solution would combine the built-in storage capabilities with the granularity of VM-level operations, like snapshots. More specifically:
- The solution should be able to trigger backups and clones with VMDK granularity at the same time.
- Do a storage level snapshot triggering the operation at the VM level, which is the fastest and the ideal among all the three above solutions.
- The solution would allow different database components to be aligned with different storage data services needed.
Virtual Volumes delivers a new storage management and automation framework that can elegantly address these requirements today. First, Virtual Volumes eliminates the need for a file system and objects are natively represented on the storage array, mitigating any performance concerns and eliminating the debate DBA between DBAs and vSphere Administrators on storage setup. Second, backups can be triggered at a VM level with VMDK level granularity with the actual operation executed natively by the array. Third, regular DBA tasks such as clone and refresh of non-production databases from production takes less time.
In the next blog posts we will go in detail on how Virtual Volume is of great benefit to database operations and in particular for backup, recovery, cloning, and SLA management through the use of policies.
Ready for more? Click here for part two and part three.
To learn more about Virtual Volumes and how to plan, architect and administer a business-critical Oracle environment, see the VMware vSphere Virtual Volumes: A Game Changer for Business-Critical Oracle Databases white paper.
