Cloud Storage Technologies

Deciding between on premise and cloud environment for database is a complex process, whereby a number of factors come into play. For starters, the business requirements need to be properly analyzed to tip the scale toward one approach or another. Once decided, then there is the need to choose a reliable technology partner, which can be troublesome as there are multiple vendors offering services of varying levels.

As enterprises are increasingly turning to containers as a solution for their ever evolving and scaling application needs, the biggest questions are around the storage solution.

How do we have a consistent storage experience across the various public clouds and on-premise deployments.?

How do we enable data portability across all the platforms that Kubernetes and containers run?

How do we make sure that users don’t have to worry about configuring and tuning storage for their needs?

The challenge for storage management administrators is monitoring large scale distributed storage subsystems deployed in data centers to cater high workload demands. The management platform that does forecasting capacity usage patterns, proactively finding data center element performance bottlenecks in drives, ports, IO rate, response times etc, health checks, notify SLA violations and cyber resiliency issues, helps administrators to plan the resources and prevent risks before they occur.

In today’s digital world, Data sovereignty becomes a big area of concern for various countries. Many countries are concerned about the data, that is generated locally, and being processed and persisted beyond their geographical control. This is particularly relevant in the age of cloud computing with global development centers for processing and persisting data.
 

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