Blue Turtle’s Database Virtualization solution will assist you in keeping abreast of the advancements in business applications and databases; this solution is a product of the Delphix enterprise-class Agile Data Platform.
According to Delphix, “the typical organization manages 8 to 10 instances of an application, including binaries, configuration files, and databases, for development, QA, reporting, and other project needs.Getting the right environments and data to the right team can take weeks or months, with most of the time and expense in people and process.
Application instance and database requests generally start with managers and committees for approval, then sort through prioritisation and scheduling, and finally consume hours of low-value, painstaking work and coordination from DBAs, IT admins, and storage admins. The sum of these delays leads to high project costs, schedule overruns, quality gaps, and frustration for developers, QA engineers, and users alike.”
Blue Turtle can facilitate the implementation of Delphix enterprise-class Agile Data Platform.
By virtualising the entire application stack (binaries, files, and databases), Delphix quickly delivers full environments for development, testing, and reporting needs at a fraction of physical costs and complexity.
With Delphix, DBAs no longer waste time making, refreshing or resetting copies; analysts have current data to drive business decisions; developers get the right version of an environment for their projects, and QA engineers can test on fresh data and reset data in minutes after test runs.
The Database Virtualization solution has the following features:
- Delphix virtual instances (of databases, application binaries, file systems, etc.) can be created in minutes, via self-service, and in a tiny fraction of the storage required for physical copies.
- Delphix DBAs can create full virtual copies of a 10 TB production source in 2 minutes, not 2 weeks.
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Our Database Virtualization solution will enable you to:
- Reduce development time and get applications to market;
- Reduce data sprawl created by copies of production data;
- Reduce IT costs.
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