Enterprise organizations have reached the point where having efficient access to information is just as important as the location where they store it. What is the use of saving data if you can’t access it and use it effectively? Regardless of the use case, different types of application are utilized to access proprietary data. Data that is imperative to a business regardless of where the data resides. We’re at the point where enterprise organizations need access their information ubiquitously to remain competitive and successfully function and conduct business in the modern era.

Due to economic value and the laws of physics, the use public clouds has and will continue to grow and evolve beyond the use of long-term retention for information. Access, consumption, analysis, filtering, and processing are a few of the newly required capabilities demanded by business as well as new age computing models such as edge computing. New requirements do not negate the need for traditional data management requirements such as protection, preservation, mobility, etc.

The reality is that traditional data management solutions need to evolve and catch up with the business demands of the modern era. Part of the evolution revolves around technology; the other part is operational efficiencies, security, and risk-mitigating functions and capabilities. Enterprise organizations need access to their data regardless if it resides in a private cloud or a public cloud. Access and storing requirements are appropriately driven based on performance needs, economic value, regulatory compliance and, risk assessment.

Deploying and maintaining many different solutions to provide the same standard service is almost unacceptable today. Having to move data through multiple solutions exposes enterprise organization to a multitude of operational risks and inefficiencies. All which can lead to significant financial loses and potentially irreversible damage to any business. Traditionally, enterprise organizations maintain different solutions for the different types of infrastructures they consume (private cloud or public cloud). Take for instance data repositories; they tend to be different on-premise than what they are in a public cloud. This approach is due to many things related to technology-specific qualities such as architectures, protocols, storage abstractions, etc. and also operations specific attributes such as management, integration, etc.

Let’s not overlook the fact that the most significant hurdle in the enterprise which is NOT always technology, and in reality, the 800-pound gorilla is operations. Regardless of how advanced the technology may be, if it introduces complexity to the standard mode of operations, it will take longer to adopt and utilize because of the potential risks it will present. For example, why use a multitude of products to provide a common data repository resource? At the same time, a different product may be required to support the different types of infrastructures where deployed? This approach has proven to be messy, inefficient, and risky. Organizations need to evolve and move away from this mindset and begin exploring the landscape for new age products that are being designed with the advanced technology and operational capabilities to accommodate the modern business era without compromise and complexities.

Take for example Cohesity’s DataPlatform. A platform that can be deployed anywhere from data centers (core), cloud, to edge capable of providing data repositories that can span across all infrastructures. A platform capable of providing the essentials of data management ranging from data accessibility, simultaneous multi-protocol access, space efficiency, scalable architecture, mobility, and best of all API based integration with all cloud providers, and virtualization platforms.


Below is a demonstration that showcases the mixture and evolution of technology, integration, and operational capabilities for the modern and risks adverse enterprise. If anyone asks me, the above is a brief example for the way in which all enterprise products and solution should be developed and delivered to facilitate the evolution of enterprise organizations, their business and data centers and to embrace the transformation to hybrid operating infrastructures.

Find whatever product works to accomplish those necessary targeted goals and pay attention to the details and keep in mind that simple and efficient operating procedures mitigate infrastructure operating risks.

–    Enjoy

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