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Busting 4 common SD-WAN misconceptions

CIO

When organizations began to fully embrace both the work-from-anywhere (WFA) user model and multi-cloud strategies, IT leadership quickly realized that traditional networks lack the flexibility needed to support modern digital transformation initiatives. An integrated solution like SD-WAN from a single vendor is much more efficient.

WAN 242
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Data center automation/performance management and optimization

CTOvision

With this post we provide information on the need for enhanced performance management and optimization solutions for data centers. Enterprise data centers exist to deliver computing power to enterprise missions. They hold data, host applications and are key hubs in corporate communications.

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Boosting The Network Application Performance Across The Enterprise

taos

Technical Consultant If applications like SAP, Oracle, People Soft, and Voice/ Video over IP and or email are running over the WAN (wide area network) then optimization of the bandwidth is a must. Enthusiasm for VoIP (Voice over Internet Protocol) fades when callers routinely face stutter and static during peak network usage.

Network 40
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Cloud PC preps Grant Thornton for hybrid future

CIO

The UK-based accounting and tax consulting firm was one of few accountants in the UK that weathered the 2020 tax season without a hitch, thanks to its early bet on SaaS, Microsoft Azure, and software-defined networking. Navigating the pandemic.

Cloud 228
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Hyper-segmentation – How to Avoid Cyber Disasters

CTOvision

While people often think of security as just the tools used to protect the network, it’s not about that any more. Network Segmentation. The idea is that if someone gains access to your network, segmentation creates a dead end. The attacker can see the segment but not the rest of the network. Segmentation.

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How Machine Learning Will Influence SD-WAN

Altexsoft

Smart applications require smart networks in order to function…smartly. Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning.