Accelerate Testing and development with Virtual Data Copiesunwiredcp
Are time consuming cloning processes, storage-intensive difficulties and delay in releasing applications faster—hurdles for you?
Organizational leaders need to release higher quality software more rapidly and more often to improve customer satisfaction and competitiveness. This requires thorough testing using production-like test data.
Today, many organisations lack enough resources to meet that demand. Costly storage, compute resources, time to manage them and licenses required to maintain multiple copies of production databases, are creating a lot of problems for organisations.
The need of the hour is a system that virtualizes production system data and test master data, delivering almost-instant, nondisruptive access to full or subset volumes of data for application test and development.
In such a scenario, a Virtual Data Pipeline keeps development data current, provision rapidly, and enable self-service and automation in a storage-capacity-efficient manner.
By using a Virtual Data Pipeline data management platform, production data and test master data is efficiently ingested on a predefined schedule that is defined by an SLA and maintained in a rapid-access snapshot pool.
In addition, in just minutes, Virtual Data Pipeline can deliver security-rich virtual copies of production databases while consuming no additional storage resources.
Join The Economic Times Live Webinar, powered by Dynacons, an IBM Business Partner, for a deep dive into such Virtual Data Pipeline.
· Accelerate time-to-market
Provide data automation tools for DevOps and test data management, giving teams the data to bring new software releases to customers more quickly.
· Reduce cost of software development
Benefit from storage-efficient virtual copies which can ensure significant storage savings in data centers, remote offices and the cloud.
· Improve software quality
Enable critical bugs to be caught early in the development lifecycle to significantly enhance the product quality and predictability.
· Increase software release reliability
Perform unit testing by developers, automated build testing and functionality and regression testing on full virtual copies of production-like datasets.
· Protect sensitive data
Reduce exposure with a single golden image along with role-based access controls and automated masking.
· Expand test coverage
Avoid additional point tools and infrastructure silos with a single platform for multiple applications and databases for more flexible, easier administration and lower costs.
Head – Business Development
Dynacons Systems and Solutions Ltd
Segment Leader – Data Ops
IBM India Private Limited