This shift to the cloud has reduced the burden and, in some cases, the costs for IT managers and enabled companies to provide an improved experience for customers and employees. But, that’s not the whole story.

The cloud market has matured to a point where there is a vertical-solutions provider for nearly every business niche.

A lot of things you think are trivial are not, especially when your software and applications may very well be either outdated, incompatible, or not supported by the cloud.

Independent of all public cloud vendors, HyperCloud enables IT generalists to build and operate highly sophisticated hybrid and/or multi-cloud infrastructures that operate with a level of reliability, availability, elasticity, and serviceability previously available only to hyperscale cloud builders with specialist skills and access to large engineering teams.

Check out this month’s top five articles. 

Cloud operators, including enterprises, cloud service providers, and communication service providers, now have a solution that enables them to evolve smoothly to a new cloud networking architecture and realize enhanced security, dramatically reduced complexity, lower total cost, and increased agility to safely accelerate their businesses at cloud speed.

Many organizations learn the hard way that, for all of the cloud’s great benefits, use that is not optimized typically leads to runaway costs for the unprepared.
 

Companies looking to maintain their competitive advantage and improve the quality of manufacturing activities should migrate their operations to the cloud and reap the benefits: better scalability, quicker turnaround times, increased revenues, and cost savings, among others.

With real-time monitoring, alarm notifications, and 3D visualization across the digital infrastructure, stakeholders gain accurate, automated, and centralized visibility into the hybrid IT environment to meet the demanding needs of remote management and end-to-end service level agreements.

Talented data professionals want to engage with high-level logic and analytics to study the complex relationships within data, gather relevant insights, and push for new and better insights.