Enterprises in the midst of digital transformations all eventually come upon the same situation: What to do about storage? For most, the answer is flash storage.
We all make mistakes. Some of them have consequences that are more lasting than others are. When it comes to choosing a data storage solution, you can make many common scale-out mistakes. These mistakes can turn your new data storage infrastructure into the gift that keeps on giving. One of the biggest challenges when purchasing data storage is predicting how much storage capacity you really need. It is the most fundamental of considerations. Failing to account for future data growth will leave you scrambling to purchase additional storage sooner than you want to. However, it is just as detrimental to pay for more storage than you need in the near term, especially if that extra space is never used. Overpaying for storage today ties up capital that can be better utilized investing in current opportunities that can return value to your organization.
In order to maintain a competitive edge, businesses need to be able to move fast, and recover faster. When your success depends on evaluating data in real-time, any kind of hiccup can cost you money. Today’s enterprises need more than backup – they need to be able to rapidly restore critical data in the right contexts. That’s why more and more frequently, disk-to-disk-to-tape (D2D2T) architectures are giving way to faster, more efficient flash-to-flash-to-cloud (F2F2C) technologies.
Enterprises are increasingly realizing the value of their data, and are capturing as much of it as possible to glean whatever insights they can. The challenge, however, is that IT budgets are not growing at the rates needed to properly handle these growing mountains of digital gold.
In order for developers to keep up with the speed of business, new innovations in storage, backup, and disaster recovery are being rolled out at a breakneck pace. To stay competitive, enterprises must adopt these new methods and technologies for faster restores and greater opportunities to leverage the true value of data across their organization.
Digital transformation is reinventing the IT infrastructure. Enterprises are shifting to software-defined data centers and the new technology that comes with them. AI and machine learning (ML), cloud utilization, and software-defined storage are just a few of the many new tools that organizations now employ to help them harness the power of their data. As a result, IT infrastructure management has become increasingly complex. IT staff can no longer be expected to manage every part of the infrastructure. However, the answer to this issue is simple: let technology manage itself. AI/ML intelligent data platforms can provide comprehensive data management throughout the infrastructure.
Digital transformation is fundamentally changing the way organizations view and manage their data, with an estimated 60 percent of data-driven enterprises scheduled to begin digital transformation by 2020. This transformation allows enterprises to use their data to generate revenue and keep a competitive edge – but only if it can be stored accurately and organized in a way that keeps it easily accessible.
In the past, users were forced to choose between HDDs with high storage capacity or DRAMs offering high performance. Advancements in NAND flash allowed for a new, comprehensive option: the flash-based SSD. NAND flash is a nonvolatile (NV) semiconductor memory device. Unlike DRAMs, NAND chips do not need a continuous power supply to retain stored data. Flash-based SSDs provide greater storage capacity and better performance and speed at a cost-effective price point.
Companies worldwide are modernizing their data centers with efficient, all-flash storage arrays. All-flash storage solutions may offer different features, but they all provide better performance, scalability, and capacity over legacy storage solutions. They are more affordable than their traditional storage equivalents, making upgrading cost effective. With all-flash arrays, organizations can consolidate data and simplify their data management processes.
The old fable of the lion and the gazelle is a great analogy for business today. Each day the lion must outrun the slowest gazelle or starve. Each day the gazelle must outrun the fastest lion or perish. Whether you are a lion or a gazelle, when the sun comes up, you best be running. The same is true for your business because tomorrow, you best be running. The main difference for many businesses today is it’s not just for when the sun comes up. It is all the time.