Information Management, 9/28/15
As big data and machine learning take hold, storage technology often becomes automated, virtualized and more complex. Some platforms tend to pin their owners into a commodity lifecycle to keep pace with scalability, speeds and costs. Here's how to break out of the commodity storage lifecycle.
Step 1: Break the Commodity Cycle
When you open a bottle of wine, you give yourself two choices – drink it soon, or watch it go bad. The storage lifecycle is similar. Even if your business doesn’t consume the entirety of a storage purchase, it will eventually need to be replaced to continue providing benefits to your IT system. By leveraging services and public cloud options, you can consume storage capacity as you need it and avoid watching your original purchase go stale.
Step 2: Achieve Balance Between Fast and Slow
Increasing speeds and performance won’t necessarily improve your user experience. If you’re attuned to your various systems’ needs, you know that different data sets run at different intensities and can therefore run optimally without the fastest and most expensive data storage. Sure, some workloads should be assigned exclusively to your fastest tiers, but even seasoned IT pros can overestimate the amount of high-performance data they actually need. Don’t be afraid to gauge end-user needs and relegate less performance-sensitive data to colder tiers of storage. In turn, this practice will justify the costs of high-performance storage.