In February 2024, we conducted a survey of IT leaders to uncover the prevailing challenges and criteria within the IT landscape. The comprehensive results shed… Read More »Customer Insights: IT Challenges When It Comes To Data Storage
With the NCAA March Madness tournament upon us, many will be cheering on their Cinderella teams and cursing the bracket-busting upsets of their highly seeded… Read More »March Madness – do your SSDs perform like champions under pressure or are they “one and dones”?
When we think about cars and servers, our attention often gravitates towards the more obvious features – the horsepower of a car or the CPU of a server. However, just as tires are critical yet overlooked components of a car, SSDs play a similarly underappreciated role in servers.
Where to compress? How to handle encryption? And how to manage the effective capacity once I start using compression?
Do I use hardware or software compression? This is where you start to really consider system configuration, architectural choices and make more complex tradeoffs.
Getting more from less is a common theme across corporate functional teams. The IT and Infrastructure & Operations teams we engage with frequently highlight this challenge.
What if I told you there’s a way to delay the ‘write cliff’ point, and store even more data in the process? Enter: transparent data compression in SSDs.
Data compression improves latency by reducing the size of data that needs to be transmitted or stored.
Xinnor and ScaleFlux, Inc. jointly announced the completion of a feasibility study into the benefits of pairing Xinnor xiRAID with ScaleFlux CSD 3310 NVMe SSDs for latency-sensitive distributed database applications.
A key feature provided by xiRAID is the ability to control the rate of array reconstruction, enabling a predictable reconstruction workload sized to ameliorate contention with host IO.