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In the Data Center or Information Factory, Not Everything Is the Same
There are also different threat risks for various applications or information services within in an organization
By: Greg Schulz
Jan. 31, 2013 10:00 AM
Sometimes what should be understood, or that is common sense or that you think everybody should know needs to be stated. After all, there could be somebody who does not know what some assume as common sense or what others know for various reasons. At times, there is simply the need to restate or have a reminder of what should be known.
Consequently, in the data center or information factory, either traditional, virtual, converged, private, hybrid or public cloud, everything is not the same. When I say not everything is the same, is that different applications with various service level objectives (SLO's) and service level agreements (SLA's). These are based on different characteristics from performance, availability, reliability, responsiveness, cost, security, privacy among others. Likewise, there are different size and types of organizations with various requirements from enterprise to SMB, ROBO and SOHO, business or government, education or research.
There are also different threat risks for various applications or information services within in an organization, or across different industry sectors. Thus various needs for meeting availability SLA's, recovery time objectives (RTO's) and recovery point objectives (RPO's) for data protection ranging from backup/restore, to high-availability (HA), business continuance (BC), disaster recovery (DR) and archiving. Let us not forget about logical and physical security of information, assets and people, processes and intellectual property.
Some data centers or information factories are compute intensive while others are data centric, some are IO or activity intensive with a mix of compute and storage. On the other hand, some data centers such as a communications hub may be network centric with very little data sticking or being stored.
Even within in a data center or information factory, various applications will have different profiles, protection requirements for big data and little data. There can also be a mix of old legacy applications and new systems developed in-house, purchased, open-source based or accessed as a service. The servers and storage may be software defined (a new buzzword that has already jumped the shark), virtualized or operated in a private, hybrid or community cloud if not using a public service.
Here are some related posts tied to everything is not the same:
Thus, not all things are the same in the data center, or information factories, both those under traditional management paradigms, as well as those supporting public, private, hybrid or community clouds.
Ok, nuff said.
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