Fountainhead

JUNE 2, 2009

I would expect the first-movers to adopt this wont be traditional enterprises -- but rather Service Providers, Hosting Providers and perhaps even IT Disaster Recovery operations looking to get into the IaaS and/or Cloud Computing space. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal.

Data Center 100

Data Center Load Balancer Virtualization Analysis 100

Fountainhead

AUGUST 12, 2010

ability to use free pools of servers to re-purpose for scaling, failure, disaster recovery, etc.). simplified higher-level services, such as providing fail-over, scaling-out, replication, disaster recovery, etc. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Syndications.

Disaster Recovery 145

Disaster Recovery Data Center Virtualization Network 145

Fountainhead

SEPTEMBER 14, 2009

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. Big Data. (6). Data Center efficiency. (1).

Disaster Recovery 100

Disaster Recovery Load Balancer Dell Data Center 100

Fountainhead

APRIL 27, 2009

PAN Manager also enables SCBIT to make every application highly available at virtually no cost and provides a unique N+1 approach to disaster recovery. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro. Subscribe to: Post Comments (Atom). Syndications.

Healthcare 100

Healthcare Data Center Systems Administration Virtualization 100

Fountainhead

FEBRUARY 23, 2009

Should they all fail, such as in a disaster, the entire configuration, down to each servers I/O, networks, VLANs, etc., Presto - instant Disaster Recovery (DR). Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro. So what you might still say?

Hardware 100

Hardware Data Center Storage Virtualization 100

Fountainhead

JUNE 7, 2010

And, if you can now logically re-define server and infrastructure profiles, you can also create simplified Disaster recovery tools too. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro. Now: What’s the impact on costs? Syndications. Topic Shortcuts.

Virtualization 113

Virtualization Data Center Transportation Disaster Recovery 113

Fountainhead

DECEMBER 13, 2010

Disaster Recovery – expanding on the example above, if an entire domain of servers fails, the entire group of server IO states, networking states, etc. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro. IOV is agnostic to the workload! Syndications.

Virtualization 157

Virtualization Data Center Network Storage 157

Fountainhead

MAY 6, 2010

Thus it is particularly well-suited to provide both high-availability (HA) as well as Disaster Recovery (DR) in mixed physical/virtual environments – eliminating the need for complex clustering solutions. Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro.

Data Center 100

Data Center Virtualization Storage Network 100

Fountainhead

DECEMBER 8, 2009

2) Disaster Recovery: we can re-constitute an environment of server profiles, including all of their networking, ports, addresses, etc., Big Data. (6). Data Center efficiency. (1). Cloud Computing Journal. Data Center Facilities Pro. even if that environment hosts VMs and native OSs. Syndications.

Data Center 113

Data Center Virtualization Load Balancer Network 113