The current generation of all-flash arrays offers enough performance to saturate the network connections between the arrays and application servers in the data center. In many scenarios, the key limiter to all-flash array performance is storage network bandwidth. Therefore, all-flash array vendors have been quick to adopt the latest advances in storage network connectivity.
Almost any article published today related to enterprise data storage will talk about the benefits of flash memory. However, while many organizations now use flash in their enterprise, most are only now starting to use it at a scale where they use it to host more than a handful of their applications. As organizations look to deploy flash more broadly in their enterprises, here are six best practices to keep in mind as they do so.
Enterprise storage startups are pushing the storage industry forward faster and in directions it may never have gone without them. It is because of these startups that flash memory is now the preferred place to store critical enterprise data. Startups also advanced the customer-friendly all-inclusive approach to software licensing, evergreen hardware refreshes, and pay-as-you-grow utility pricing. These startup-inspired changes delight customers, who are rewarding these startups with large follow-on purchases and Net Promoter Scores (NPS) previously unseen in this industry. Yet the greatest contribution startups may make to the enterprise storage industry is applying predictive analytics to storage.
Many organizations are using all-flash arrays in their data centers today. When asked about the benefits they have achieved, two benefits are almost always top of mind. The first benefit mentioned is the increase in application performance. Indeed, increased performance was the primary rationale for the purchase of the all-flash array. The second benefit came as an unexpected bonus; the decrease in time spent managing storage. As organizations consolidate many applications on each all-flash array; and are discovering that data tiering and quality of service features are important for preserving these benefits.