Databases


In Part 3a of the Cloud Optimized Storage Solution series, I covered the concept of data tiering within the COSS solution.  In this particular post, I’m going to start the conversation on how SLAs may tie into the overall concept of data tiering as well as infrastructure access SLAs. This particular post is more of a “working edition” than anything else, so, comments are certainly welcome and warranted. 

Service Level Agreements provide additional frameworks for data storage and access along with particular sensitivities to the methodology of access as driven by compliance.  Understandably this subject is very broad in scope so, for the purpose of clarity, focus will be given to two basic SLA metrics: data storage and data access.  These SLAs serve two purposes: to structure the type of relationship between a customer and their data within the cloud and provide a legal framework whereby customer and provider realize risks/benefits and provide remediation.

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With the advent of Cloud Computing and the general resurgence of computing grids, data storage has been taken for granted.  The general focus has been on computational power, integration points via software (API access, for example), and code portability.  Storage, on the other hand, was considered a commodity to be taken advantage of; a simple pool of storage for whatever data needed some level of retention and access.  However, as cloud computing’s storage and access demands continue to grow, the need for an optimized storage layer and hardware accompaniment become even more critical.

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