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Hyperconvergence is a term that is gaining rapid interest across the manufacturing industry due to the undeniable benefits it has delivered to IT professionals seeking to modernize their data center, or as is a popular buzzword today ― "transform." Today, in particular, the manufacturing industry is looking to hyperconvergence for the potential benefits it can provide to its emerging and growing use of IoT and its growing need for edge computing systems.
Microsoft SQL Server, Oracle, SAP HANA, PostgreSQL, MySQL. For many organizations, these databases, among others, are essential components of their success, but their potential is stunted. That’s because too many of these databases are still running on legacy IT infrastructure.
Riddled with silos and complexity in every corner, legacy IT is neither efficient nor scalable enough to continue running these databases. Beyond the poor performance and inefficiency of running relational databases on legacy infrastructure, your IT team is likely struggling with one, two, or all of the following pitfalls.
Cloud-native computing is perhaps the most important trend in enterprise IT today. At its core, cloud-native extends the benefits of cloud computing to the entire IT landscape, including on-premises tech as well as the edge.
The open-source container orchestration platform Kubernetes has grabbed the cloud-native flag, with a surprisingly rapid uptake in adoption across the Global 2000. Kubernetes, however, is only part of the cloud-native story.
For some enterprises, a “cloud-first” policy can seem like a no-brainer, especially when compared to the quagmire of traditional data center infrastructure. Yet new software-defined infrastructure solutions like hyperconverged infrastructure (HCI) also offer IT agility, as well as greater security and control than what’s available in a public cloud. Perhaps surprisingly, many actually cite cost as the key incentive for using public cloud, despite the fact that, in most cases, it is significantly more expensive than on-premises HCI solutions like Enterprise Cloud.
IDC published a study that found predictable workloads, which account for the majority of all enterprise workloads, on average were about twice as expensive to run in the public cloud as compared to running on-premises on Nutanix. And a 2018 IDC survey entitled Cloud Repatriation Accelerates in a Multicloud World reported that 80 percent of organizations had repatriated applications out of the public cloud back to on-premises, and that 50 percent of all public cloud applications installed today will move back on-premises over the next two years.
By now, you’ve likely heard of “hyperconverged infrastructure,” and you and your team may even be considering adopting it. As you work through that decision, chances are you’ve wondered what sorts of problems hyperconvergence could solve for you.
Or, you might be in the camp of folks who’ve used legacy 3-tier architecture for so long that it’s a part of your DNA — and you might not be too keen on uprooting something that’s worked “just fine” for so many years.
No matter how up-to-date your datacenter may seem, there’s always room for improvement. Growing means consistently examining your existing infrastructure for weak spots and asking if what you have in place is not only meeting the demands of your business today, but also setting you up for success in the increasingly multi-cloud focused future.
If you’re ready for an infrastructure revamp, here are a few recommendations to help you along your journey.
Time for a check-in: how well are you doing on your New Year’s resolutions? If you answered with a sharp inhale and a shake of the head, you’re not alone. In fact, about 80 percent of folks aren’t able to stick to their resolutions.
But when it comes to your data center, resolutions are not something to give up on easily. Have you made some for 2019? To help you along, we’ve compiled 5 of the top data center resolutions you might have on your list — and most importantly, how to achieve them.
Kubernetes and containers have been revelatory for application development, but they’re not the complete solutions enterprises might like them to be. Yes, both address organizations’ long-held desires for agility, efficiency, and accelerated application development. However, there remain some missing elements that may hold back Kubernetes’ explosive adoption rate for mission-critical workloads in the modern enterprise.
All of these elements can be traced back to the fact that neither Kubernetes nor containers feature native storage. Although historically seen as an afterthought by developers, storage remains an essential component for enterprise applications, especially in the age of containers.
With hyperconvergence adoption on the rise, it’s hard to believe HCI is a relatively new player in the grand scheme of IT. In fact, according to the State of the Enterprise Datacenter report, 67% of respondents are either using or are planning to adopt a hyperconverged infrastructure.
Growing demands for simplified management, increased performance, and reduced time-to-market mean that now, technologies like hyperconvergence are business necessities, not just “nice to haves.” Maintaining a competitive advantage is an increasingly difficult task, so benefits like scalability, operational efficiency, and reduced costs that help foster innovation and drive execution are integral in reaching that goal.