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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time data processing is an essential capability for nearly every business and organization. It underlies services such as identity management, fraud prevention, financial transactions, recommendation engines, customer relationship management, and social media monitoring. Real-time Data Scaling Challenges.

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Fountainhead: What Is Meant by a "Cloud-Ready" Application?

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. unique network topology (including load balancing, firewalls, etc.). location of app images and VMs), network (including load balancing and. Balancing these. Big Data. (6). Data Center efficiency. (1).

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Fountainhead: New AWS enable "Real" Elastic Clouds

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Amazon Elastic Load Balancing: A for-fee ($0.025/hour/balancer + $0.008/GB transferred) which automatically distributes incoming application traffic across multiple Amazon EC2 instances. Big Data. (6). Data Center efficiency. (1).

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Fountainhead: Emergence of Fabric as an IT Management Enabler

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Last week I attended Gartners annual Data Center Conference in Las Vegas. Four days packed with presentations and networking (of the social kind). Provisioning of the network, VLANs, IP load balancing, etc. Big Data. (6).

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Fountainhead: An Ideal Datacenter-in-a-Box, Part II

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. The 13 different functions are mapped onto the data center "stack" at right. Big Data. (6). Data Center efficiency. (1). Data Center Design. Green Data Center blog. Fountainhead. Contrarian. (14).

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Fountainhead: Differing Target Uses for IT Automation Types

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. a Fabric), and network switches, load balancers, etc. Each of these two approaches has properties with pros and cons with which Im familiar -- having worked for companies in each space. e.g. networking, load balancing, etc.

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Fountainhead: An Ideal Datacenter-in-a-Box

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Thats to say it includes I/O virtualization, a converged network fabric (including virtual switches and load balancing - based on std. If you dont believe Dell hardware is ready for the Data Center, then think again. Big Data. (6).

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