All Things Distributed
NOVEMBER 26, 2013
We also made it easy for customers to leverage multiple Availability Zones to architect the various layers of their applications with a few clicks on the AWS Management Console with services such as Amazon Elastic Load Balancing , Amazon RDS and Amazon DynamoDB.
Cloud Musings
DECEMBER 11, 2015
When it comes to big data analytics, Teradata delivers these Platform-as-a-Service advantages by delivering industry andbusiness process aligned components within their PaaS. Through this strategy, the company was relieved of most of the care and feeding of its data warehouse.
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Fountainhead
JUNE 2, 2009
Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Big Data. (6). Data Center efficiency. (1).
Data Center Knowledge
JULY 23, 2013
There’s a lot of business intelligence and data warehousing that require a lot of horsepower, as well as application/web servers and other applications dedicated to handling massive email volumes. They manage dedicated firewalls for us, but as far as load balancers we use the cloud. Managed Data Becomes Latisys.
Data Center Knowledge
JULY 23, 2013
One cloud computing solution is to deploy the platform as a means for disaster recovery, business continuity, and extending the data center. With a well-planned deployment, and a good infrastructure, companies can efficiently load-balance their IT environment between multiple active, cloud-based, sites.
Data Center Knowledge
JULY 17, 2013
He has more than 20 years of experience in assisting cloud, storage and data management technology companies as well as cloud service providers to address rapidly expanding Infrastructure-as-a-Service and big data sectors. Sign up for the Data Center Knowledge Newsletter. Modular Data Centers. PAUL SPECIALE. White Papers.
Fountainhead
SEPTEMBER 14, 2009
Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. The 13 different functions are mapped onto the data center "stack" at right. They span management of both physical and virtual software, servers, I/O, networking, etc. -- as well as higher-level functions such as High-Availability and Disaster Recovery.
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