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Lightbits Labs lands $42M to speed up server data transfers

TechCrunch

Data centers with servers attached to solid-state drives (SSDs) can suffer from an imbalance of storage and compute. Either there’s not enough processing power to go around, or physical storage limits get in the way of data transfers, Lightbits Labs CEO Eran Kirzner explains to TechCrunch. ” Image Credits: Lightbits Labs.

Data 205
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Art of the possible: The CIO guide to data center freedom

Capgemini

IT is shifting from managing data centers to delivering value to the business. As this shift occurs, business and IT become more agile. Freedom from your data center doesn’t necessarily mean you have to move it to the cloud. Data center challenges impeding IT modernization. Or is it a combination?

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When You Need That Extra Power: Instaclustr Managed PostgreSQL® on Azure NetApp Files

Instaclustr

But when you do, you’ll notice the difference right away.” Sure, this quote may be squarely about Instaclustr Managed PostgreSQL on Azure NetApp Files (ANF) but the underlying lesson certainly rings true for countless other (read: non-technical) situations as well: Going for a hike on a trail you already know like the back of your hand?

Azure 62
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Creating Dynamic VMs Infrastructure With Xen Hosts

Dzone - DevOps

In today's world, the server infrastructure machines are either in on-premise data centers, private data centers, or public cloud data centers. In a private data center scenario, where your own procured hosts are placed in a physical space that is shared in a third-party data center and connected remotely.

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Why run SAP on Azure? (Success Stories Included)

Protera

With this imperative nearing, now is the time for companies to migrate to cloud and evaluate SAP S/4HANA, and Microsoft Azure has proven to be a powerful choice for enterprises taking the leap. In fact, SAP’s own IT department chose Azure when they migrated critical business systems to the cloud. What an SAP on Azure migration entails.

Azure 52
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Cloud Computing Trends and Innovations

Apiumhub

Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation. Technical Example : Edge Computing in IoT Scenario: In an IoT deployment, edge computing processes sensor data locally on edge devices, reducing latency and bandwidth usage.

Trends 52
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Why Cloud? Why Now? A Protera Webcast Recap

Protera

Aging On-Premise Data Center As Gartner predicted a few years ago, the data center is (almost) dead—80% of organizations will have closed their traditional data centers by 2025 in favor of cloud operations. But for the most part, the business world is moving to the cloud en masse.

Cloud 40