4 factors that shape the future of hyperconverged infrastructure

 

The future of hyperconvergence will be shaped by four key factors — the cloud, edge computing, network automation, and artificial intelligence. I&O leaders should use these selection factors to extend the potential use cases of HCI and protect their investments in the future

Factor #1: Prioritize HCI vendors with strong hybrid cloud capabilities

Workloads are getting increasingly hybrid, as organizations exploit the benefits of cloud infrastructure as a service (IaaS) and platform as a service (PaaS) for better flexibility, agility and total cost of ownership (TCO). Most organizations would like to migrate their virtualized infrastructures to functional hybrid clouds and integrate them with public cloud IaaS to take care of workload portability and redundancy.

Several HCI vendors have already added cloud management capabilities to their offerings. While these might appear basic when compared to cloud management platforms, close partnerships with public cloud providers help them deliver more integrated services in the cloud.

Factor #2: Opt for lean and rugged platforms for edge use cases

HCI has the potential to address both traditional and emerging needs of edge computing because of its operational simplicity and form factor. In the next two years hardware vendors will support HCI on ruggedized server platforms to address edge use cases, specifically in the areas of retail, mining and manufacturing. I&O leaders should favor HCI vendors that can deliver lower TCO through support of lean hardware that can scale down effectively and support newer computing abstractions (such as containers).

Factor #3: Insist that network automation is a priority

As HCIs are employed to support applications that demand more, and better, performance and availability, networking must become an integral part of the cluster design. Without system-level integration, it is difficult to achieve the delivery of service-level agreements (SLAs). Moreover, troubleshooting and problem resolution become very complex as well.

Factor #4: Ensure vendors apply AIOps to guarantee application SLAs

As the complexity of mixed workloads increases and mission-critical applications are added, optimal workload placement will become critical. More I&O leaders will evaluate HCI as an on-premises and multicloud architecture, opening up a wide variety of choices for the placement of applications where artificial intelligence for IT operations (AIOps) will help optimize resources holistically.

To learn more about how hyperconverged infrastructure is evolving, join us at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2019, from 6th - 7th May at Mumbai, India.

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