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The Evolution Of Cloud Infrastructures [Infographic]

Cloud infrastructures have gone through an impressive evolution over the last decade. The demand towards more flexibility, operational agility and predictability urged vendors to strive for tighter integration of compute, storage, virtualization and network silos needed to support a cloud model.

Back in 2007, converged infrastructures were, in essence, bundles of server, storage and network products, sold with management software that facilitates the provisioning and management of the combined units. These infrastructures could be delivered as integrated appliances or as integrated reference architecture, and were, the first step towards advanced cloud infrastructures of today. However, these systems were extremely difficult to deploy and operate, and their support required excessive expenses.

The emergence of the hyperconverged model in 2012 transformed cloud infrastructures’ framework. By integrating storage and compute capacities into a single silo, hyperconvergence eliminated the need for a storage area network (SAN). Its storage functions and optional capabilities like backup, recovery, replication, deduplication and compression are delivered via software in the server node.

The simplicity of these systems, ease of deployment and cost-effectiveness accounts for their growing popularity; however, they still have a number of serious limitations. The weakest spot of cloud infrastructures based on the hyperconverged model is the network. Most HCI systems provide no network virtualization, which results in poor manageability, limited network mobility and scalability, and security blind spots.

2016 witnessed the start of a new era. The introduction of the superconverged model goes beyond hyperconverged infrastructures by tightly integrating network, storage, compute, virtualization, and SaaS management into a single platform. The Cloudistics Ignite superconverged platform offers the simplicity of hyperconvergence, but with a complete software-defined datacenter, including the network. That means better performance, easier deployment, and lower total cost of ownership.

This infographic looks at the evolution of cloud infrastructures since the introduction of the first converged datacenter in 2007, and illustrates key features of converged, hyperconverged and superconverged models along with their specifics and benefits.

[Click the image for full size or here to download in PDF]

The Evolution of Cloud Infrastructures

You can read about the differences of cloud infrastructures and what is “superconverged” in this white paper by Dr. Jai Menon:

“The 4th Era of IT Infrastructure: Superconverged Systems”

Learn the benefits and limitations of the 3 generations of IT infrastructure, and discover how the 4th generation – superconverged – can transform your business.

Download Whitepaper

Dan Mroz

VP of Worldwide Marketing

Over the past 20 years, Dan has had the unique opportunity to hold several diverse positions within the IT industry-spread across numerous business verticals. Most recently he was part of an incubation team at Lenovo, launching new hyper-converged products. He developed the overall channel strategy and enablement while contributing to marketing and messaging efforts. Prior to Lenovo, Dan held positions in sales and engineering at Dell-EMC, supporting top revenue accounts and new product development within Texas and Pennsylvania. Dan was engineer of the year in 2012 and 2014.

Before becoming a resident of Texas, Dan was an IT Director and Instructor at the Pennsylvania State University where he led overall technology strategy, instructional design, and numerous strategic projects outside the scope of IT. He taught classes in a number of subject areas to include information sciences and security, risk analysis, and fly fishing.

Dan has always had an entrepreneurial spirit and cofounded a web development, hosting, and consulting company. He has led marketing, recruitment, and IT operations of multiple organizations in the healthcare, technology, and financial segments.

Dan earned his AAS and BS degrees from the Pennsylvania College of Technology and his MBA from the New York Institute of Technology.

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