VIOLIN Insights

Across industries, the adoption of flash arrays is growing faster than ever before. In fact, from 2018 to 2023, the flash array market is projected to grow 25 percent per year. It’s very likely that not even the economic slowdown caused by the COVID-19 pandemic will have much of an impact on this projected growth, as organizations search for better, faster, and newer hardware to keep up with the lightning-fast digital transformation, which was only amplified by an overnight move to a remote workforce.

Machine learning is advancing in a broad range. Here are a few applications proposed today (listed without any particular order):

Since its announcement in 2018, Microsoft’s structured query language (SQL) database management system, SQL Server 2019, has been making headlines, first for its introduction and again in 2019, for its impressive list of updates.

If you need to arrive at an appointment on time and you know you need to take a highway that gets jammed up right at rush hour, wouldn’t you prefer to take a high-speed detour, one with 64,000 lanes instead of just one?

When you’re dealing with a modern, all-flash array, you need data efficiency technology to keep up. Otherwise, what’s the point of having such a speedy solution? Perhaps you’ve heard the terms “thick provisioning” and “thin provisioning.” These terms get tossed around a lot in the storage community, but which is right for you?

Whether you realize it or not, we’re exposed to artificial intelligence and machine-based learning every day. The virtual assistants on our smartphones, the smart speaker in your living room, your social media account, and even your favorite TV-streaming platform all use artificial intelligence and machine learning for optimum performance and personalized user experiences.

Flash storage for enterprise storage systems is quickly becoming the storage entity of choice for many businesses-- especially those who have high-performance needs, or those who use apps for things like accessing or storing to databases or operating artificial intelligence.

IT administrators and architects are constantly balancing the needs of applications with the cost to provide the best services possible. Flash storage technology has been at the forefront of this trade-off between cost and benefit for several years, but has recently become more affordable for more applications in the datacenter.

All communications in an application stack generally take a few microseconds. Some take a few milliseconds which results in higher latency also known as long tail latency.

NVMe has been one of the hottest topics in the storage industry for a while now.  Rightfully so, it is making an impact in the storage industry and moving computing forward.  For storage vendors and customers alike, it is important to be ready as certain aspects of NVMe become standard.  There are two key aspects of NVMe, as it promises to solve backend bottlenecks to flash devices and improve the SAN performance to servers over fabrics.  In this blog, I will share my perspective on NVMe flash modules and how, here at Violin, we solve the flash device performance aspect.