Hyper-Converged Infrastructure: Maximizing TCO and ROI

What’s in a name? In NVMe-OF’s case, quite a lot. What’s that, you say, apart from being a front-runner for technology’s worst acronym awards? Data centre transformation, is that better? No, of course it isn’t and with good reason. Infrastructure vendors have been telling us how important it is to refresh our data centre infrastructures for some time, as otherwise you won’t be able to reap the rewards of, you know the sort of thing, massively scalable analytics workloads, application consolidation, more dynamic infrastructure, greater business value and so on. Trouble is, for a wealth of reasons, few enterprises have the luxury of rip-and-replace transformation. And while processing and storage have moved forward at the speed of Moore’s Law, the pesky network has continued to slow everything else down. So, here’s the good news. The NVMe-OF protocol has emerged from the direct attached storage world as a way of connecting solid-state storage to processing at, well, the speed of light (OF stands for Over Fabric), essentially removing the bottleneck of data transfers.

The cloud is the new data & analytics platform. Cloud offers a diversity of choice, but that amounts to increased complexity. Data & analytics leaders must address various gaps while pursuing their D&A cloud modernization journey. However, to minimize cloud complexities, data and analytics leaders must update early data engineering practices to lay the right foundation for how data & analytics applications are built, managed and operated in the cloud. They must establish a strong cloud data management strategy and approach that can minimize human effort, delays and operational costs. Join this complementary data & analytics webinar to explore the state of the data & analytics platforms, and the transition to cloud and its implications.

Over the next few years, standardization work will pave the way for huge enhancements in throughput, latency and availability that promise to open up the benefits of 5G to many new industries and applications. For organizations to reap these benefits, the 5G ecosystem must manage component-level risks around scaling mmWave deployment, thermal management, optimizing device footprint through component count reduction, and extending battery life. This webinar will discuss the future evolution of 5G, the growth opportunities and challenges around 5G-enhanced mobile broadband, massive IoT and mission-critical communications (MCS) and how component-level risks can be managed to achieve commercial success.

There is currently a surge in business investing in various types of analytics to solve their business challenges and achieve competitive advantage. The best analytic insight requires large amounts of data from multiple sources, which can then be feed through AI, ML, and analytics processes to garner new insights and make better decisions, as the amount of analytics storage highlighted in the chart below.