There are plenty of proof points, and you’re one of them—if your storage met your needs, you wouldn’t be reading this. Unfortunately, you’ve already invested too much time and money troubleshooting performance, provisioning new platforms, carving and tuning LUNs and volumes, and sitting on hold with storage vendors. You’ve lost evenings, weekends and sanity to storage that doesn’t deliver what you need. And you’re ready to accept that there’s a better way.
If your organization is highly virtualized, or if you’re planning a virtual-first strategy for your organization, you cannot meet your objectives with conventional LUN and volume-based storage. Conventional storage architectures that were built for physical workloads decades ago are still used by both legacy providers and storage newcomers today. Instead, you need storage specifically built for virtualization and cloud: VM-aware storage.
Tired of using physical storage for your virtualized applications? Want predictably fast—even guaranteed—performance? Ready to save your time and money? Good—let’s get started.
The disconnect, defined
Virtualized applications drive value for your business —they are the backbone of your virtualized data center— but conventional storage doesn’t let you interact with them on a 1:1 level. VM-aware storage does.
The disconnect in your data center
If your data center still runs on a conventional storage architecture built for physical workloads, you’re not realizing the full value of virtualization.
DATA POINT: Today, 77% of organizations have a virtualization-first strategy for workloads, and the percentage of virtualized applications has leapt from 2% to more than 70% in the past ten years.
Conventional storage was built to manage physical workloads via a 1:1 relationship. But virtualization forces conventional storage to manage virtualized applications via a 1:many relationship. To handle the “many”, conventional storage lumps those applications into LUNs or volumes. And those many applications get spread across different LUNs or volumes, with different characteristics and varying results.
What’s the result? A tangled mess of mapping and what many call the “I/O Blender” where VM requests for I/O get all mixed up and are forced to fight for resources with no sense of prioritization.
How do organizations purport to clean up this mess? With lots of manual effort—and so it’s little wonder that over the past decade, while capital expenses in the data center have grown 3x, operating expenses have grown 8x.
Let’s break down that disconnect right now:
You:An organization who’s virtualized your applications and whose team members are all thinking in virtual machines (VMs). ≠ Conventional storage: Aging architecture made for physical workloads, with logical unit numbers (LUNs) and volumes that don’t let you work with your individual VMs.