The Role of High Availability Technology in Virtual Data Room Storage

High availability of the management information system is a crucial requirement for ensuring the continuity of the functioning of modern business. This article will investigate how to provide high availability with the help of virtual data room software. 

The essence of high-availability technology

Organizations use information technology to gain competitive advantage, reduce operating costs, enhance customer relationships, and provide business intelligence to management. Thus, organizations increasingly depend on their IT infrastructure and its continuous availability. The data unavailability directly results in loss of productivity and revenue, customer frustration, and reputational damage. Currently, the primary approach to building a high-availability infrastructure is to deploy redundant and often idle hardware and software from disparate vendors. This approach is usually more expensive but does not provide the expected service levels due to poor component integration, technology limitations, and administrative complexity. However, modern virtual data rooms provide customers with comprehensive and integrated high-availability technologies to reduce costs, maximize the return on investment by leveraging their high-availability resources, and improve the user experience.

Building an efficient and high-quality high-availability system is a rather complex task, requiring deep knowledge, experience, and high costs. The most common way to ensure high availability of information systems is to use a failover cluster. This technology requires the use of a highly reliable data storage system, the creation of additional network infrastructure, and the involvement of highly qualified specialists for the deployment and operation of the system. As an alternative for a wide range of critical applications, there is a ready-made fault-tolerant solution of a new generation – virtual data room. The solution is designed primarily for use in information systems for automating production processes of enterprises of any size and requires minimal maintenance costs.

How is the technology applied in a data room software? 

Designing, managing, and implementing a high-availability architecture to achieve all business goals within today’s real-world constraints is challenging. Many data room vendors offer technologies and services to protect your business from data loss and downtime. In a system like iDeals dataroom high availability covers several important aspects in addition to the primary goal of eliminating downtime. Key features of a well-thought-out high availability architecture:

●       Availability of data: ensuring constant access to data to avoid business interruption.

●       Data protection: prevent data loss that undermines business viability.

●       Performance: fast enough response time for efficient business operations.

●       Costs: reduce deployment, management, and support costs to conserve enterprise resources.

The starting point for achieving high availability is understanding the service levels an organization needs to implement all of the above. It helps you make critical technology decisions and determines how much you need to invest in your high-availability architecture.

The presence and maintenance of a single data management system, a united workspace, not only makes life easier for employees of the organization but also allows you to include contractors in business processes. They don’t need to install anything – they can access the relevant sections of your company portal. It is called a digital transformation business platform. End-to-end business processes with the participation of counterparties are not yet an obvious direction in expanding the data room, but they promise great prospects.

Support for high-speed work with data with an increase in the number of users and volumes of information falls on the architecture of the archive platform. For example, you need to be able to scale out a database by distributing the load across multiple cluster nodes. In addition, the database structure must eliminate the excessive burden on business data created by service information and operations. The hierarchical file storages, which allow you to flexibly manage this structure and policies for pushing data to specific nodes, are needed to scale the storage of files.