Technology has eased business processes in more ways than one. With cloud computing and server systems, internet and telecommunication, the procedure of data generation and transfer have significantly evolved. As a result, the market for enterprise storage solutions has witnessed a rise in demand. Over the years, Virginia Beach it services firms have experienced changes in terms of storage media, capacity and compatibility to the complex world.
Amidst all the changes and development in the field of data storage solutions, three solutions have emerged prominently. These trends are software-defined storage service, hyperconvergence solution, and AI. All these new entrants have marked a profound impact on how a data center operations and what solutions network services company offer to a business.
Software-Defined Storage (SDS)
In data storage sphere, Software-defined storage solution is witnessing an increase in usage and popularity. With new upgrades in the storage technology, more businesses would be purchasing the solution. In this model of data storage, the storage technology disintegrates storage intelligence from the storage devices. In some SDS applications, legacy storage is integrated with a centralized management system. The layers in the software direct processing of workload that is driven by policy, and allows intelligent movement of data. It also facilitates in load balancing, replication and backup of data.
Hyperconverged Infrastructure (HCI)
HCI or hyperconverged systems substitute computing silos with integrated infrastructure. The IT architecture in HCI greatly depends upon virtualization.
Previously, converged infrastructure or CI systems were made by integrating servers, networks, and storage into one framework. Most CIs system makers and hardware manufacturers certify that their products and applications are compatible and suitable to work together. Since CIs work well in a virtual atmosphere, businesses and data centers use it for unique workloads.
The technology of hyperconverged infrastructure has evolved from CI. Just like CIs, HCI also integrates servers, networks, and other components into scalable systems that can incorporate various other virtual systems. It dynamically expands the system management to the added servers and optimizes it according to the workload.
HCI further evolved to add secondary data storage to the platforms. By backing up primary servers to hyperconverged storage, businesses can manage them both by a centralized system. Data virtualization permits the provisioning and creation of secondary storage infrastructure while enables IT admins to use data services like analytics and indexing for security and compliance.
With HCI, data centers can leverage the advantages like elasticity, mixed workloads, increased performance and ease of handling complex computing applications.
Most admins and businesses might find AI and machine learning an odd pick in data storage solutions. Since the advent of AI, it has left an unprecedented mark outside the data center. But more importantly it has left a considerable impact on how big data are analyzed, data are moved and transferred and how market behaviors are predicted based.
Businesses and data centers are already using AI and machine learning for data management in some way or the other. But when it comes to investing in AI-based data storage technology, it becomes essential to evaluate how the business can leverage the technology while ensuring high RIO.