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Converged Data Management Unwrapped – Infinite Scalability

In the second part of my series on Converged Data Management, I’m putting another property under the microscope – Infinite Scalability. The underlying premise is that the fabric that is providing data management can be deployed in a shared-nothing manner with a limitless architecture focused on linear growth. Woah, what does that all mean?Let’s pick these ideas apart, one by one. A shared-nothing system is one built of a series of nodes that have no dependency upon each other. If a node fails, or parts of a node fail, the fabric remains healthy and operational without any negatively impacting penalties. Ideally, this architecture is expanded beyond the node itself, expanding out to the enclosure, rack, or even entire data centers. Contrast this to systems that are reliant upon dependencies and use alternative tricks to hide or protect them – load balancers, failover clustering, and so forth. If a failure occurs, performance suffers due to the need to ingest data into a central choke point – such as a master server, quantity of proxy nodes, or a database instance. Availability is also put at risk, especially considering that most components in a dependency chain have only a single failover counterpart because of…