Data Center Knowledge

JULY 17, 2013

Managing What Matters In the Cloud: The Apps. Managing What Matters In the Cloud: The Apps. Paul Speciale is Chief Marketing Officer at Appcara , which is a provider of a model-based cloud application platform. Cloud Management. Cloud Application Management. By: Industry Perspectives July 17th, 2013.

Data Center 203

Data Center Cloud Data Applications 203

All Things Distributed

FEBRUARY 25, 2011

With the launch of AWS CloudFormation today another important step has been taken in making it easier for customers to deploy applications to the cloud. There are several resources required: Elastic Load Balancers, EC2 instances, EBS volumes, SimpleDB domains and an RDS instance. Driving Storage Costs Down for AWS Customers.

Applications 123

Applications Resources Cloud Load Balancer 123

Fountainhead

SEPTEMBER 14, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Big Data. (6). Cloud Computing. (55). Data Center efficiency. (1). A real-world cloud user shares his findings. Cloud Computing. Cloud Musings. Data Center Design. Wisdom of Clouds. Fountainhead.

Disaster Recovery 100

Disaster Recovery Load Balancer Dell Data Center 100

Fountainhead

OCTOBER 6, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Automating how IT operates is the only way out -- hence the excitement over cloud computing, utility infrastructure, and the "everything-as-a-Service" movement. a Fabric), and network switches, load balancers, etc. Fountainhead.

Load Balancer 100

Load Balancer Virtualization Data Center Network 100

Fountainhead

MAY 6, 2010

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Converged Infrastructure and Unified Computing are both terms referring to technology where the complete server profile, including I/O (NICs, HBAs, KVM), networking (VLANs, IP load balancing, etc.), skip to main | skip to sidebar. Fountainhead.

Data Center 100

Data Center Virtualization Storage Network 100

Fountainhead

DECEMBER 13, 2010

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. In essence, a server’s logical IO is consolidated down to a single (physical) converged network which carries data, storage and KVM traffic. can be recovered onto another domain (assuming shared/replicated storage). Big Data. (6).

Virtualization 157

Virtualization Data Center Network Storage 157

Fountainhead

DECEMBER 8, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Last week I attended Gartners annual Data Center Conference in Las Vegas. Lots of talk about cloud computing, IT operations, virtualization and more. In fact, Compute fabrics might just be the next big thing after OS virtualization.

Data Center 113

Data Center Virtualization Load Balancer Network 113

Fountainhead

SEPTEMBER 10, 2009

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. Big Data. (6). Cloud Computing. (55). Data Center efficiency. (1). Fountainhead.

Dell 138

Dell Data Center Virtualization Cloud 138

Fountainhead

JUNE 7, 2010

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. And I mean I/O components like NICs and HBAs, not to mention switches, load balancers and cables. It means creating segregated VLAN networks, creating and assigning data and storage switches. Big Data. (6).

Virtualization 113

Virtualization Data Center Transportation Disaster Recovery 113

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. The different stages were then load balanced across the available units. Cluster GPU programming in the Cloud with the Amazon Web Services changes of all of that. Driving Storage Costs Down for AWS Customers. Comments ().

Architecture 136

Architecture Programming Web Services Applications 136

Dataconomy

MAY 22, 2023

This scalability is particularly valuable in scenarios where real-time or near-real-time predictions are needed or when dealing with large-scale datasets, such as those encountered in big data applications. What is distributed learning? MPI allows direct communication between machines, enabling efficient message passing.

Training 93

Training Resources Data Load Balancer 93