Blog Archives

Overcoming HCI Transition Problems

As they consider a potential transition to a hyperconverged architecture (HCI), organizations need to decide how to migrate data to the HCI platform. They also need to decide what to do with their legacy storage infrastructure that still will be

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Is Your Storage Architecture Ready for the Coming AI Wave?

Artificial Intelligence (AI) is a broad term that can apply to various computing tasks, including machine learning, deep learning, and big data analytics. Many AI projects are in a proof of concept stage, but CIOs and IT Managers need to

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Understanding the IO Needs of Edge Computing

Edge computing architectures typically consists of an array of IoT sensors that are collecting data in realtime which then send data to an edge data center for additional processing. Eventually, much of the collected data ends up in a public

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Integrating On-Premises SDN with Cloud VPC

One of the best examples of software defined networking (SDN) in action is in the cloud. When organizations use compute and storage resources from Amazon, Google and Microsoft clouds they don’t get to go into those data centers and configure

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Posted in Briefing Note

15 Minute Webinar: Do You Really Need to Consolidate Backup?

IT Professionals have been on a life-long mission to find a backup solution that can do everything. The goal is to back up the entire data center to a single backup target, all controlled by a single application. Is it

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Data Management as a Service – Igneous Briefing Note

Data management is a project that many IT professionals and application owners feel they are too busy or don’t have enough expertise to undertake. Most data management tasks are big projects that take a lot of planning and continuous care

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Skip the Disk – Send Backups Straight to Tape

All restores are not created equal, even during a disaster. The reality is that IT should not recover most mission critical systems from a backup of any kind (flash, disk or tape). Instead, IT should recover these critical systems from

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Solving DR’s Two Biggest Failures – Documentation and Testing with Orchestration

During a disaster, there is a lot that can go wrong, and IT needs to expect the unexpected. In most cases though, it is not the unexpected that causes a disaster recovery (DR) effort to fail. The primary reasons that

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