Introducing Delphix Version 5.3
Introducing Delphix Version 5.3
06 Dec 2018
Delphix announced release of Version 5.3 of the Dynamic Data Platform and Masking Engine.
Version 5.3 introduces another significant update for the masking APIs. As Delphix customers deploy more and more instances of data masking technology, there has been an enormous desire to coordinate masking jobs across an unbounded number of masking engines.
The masking API now includes more than 30 new API endpoints around algorithms, users, roles, file uploads, system information, logins, rulesets and connectors. With this, we’re enabling our customers to fully integrate masking into their workflows and become API-first platforms.
This is a major step towards enforcing an enterprise-wide data security process. It’s a core aspect of our company strategy, and we’ll cover more on this in detail in forthcoming blogs.
It was also made a number of functional and visual updates, specifically: 
  • Job Sync
    Users are able to specify the masking jobs they would like to synchronize, this includes all of the necessary connectors and rulesets. In addition, users are able to easily synchronize universal settings (including algorithms, domains, and more).
  • Masking APIs
    In the 5.3 release, we have introduced APIs for Users & Roles and Algorithms. This builds on the Masking APIs for managing jobs, environments, profiling, etc. that were part of the 5.2 release.
  • Splunk Integration
    The Delphix Virtualization Engine supports integration directly with Splunk to send logs, events, and metrics to your Splunk instance. This integration will help you monitor and understand the health of your Delphix Engines using one of the most popular application monitoring tools.
  • Continued User Experience Improvements
    Delphix now provides an end-to-end Provision VDB wizard that allows you to pick a dSource or VDB, choose a snapshot or point in time, then provision a VDB all within a single flow. The Data objects list has also been redesigned, making it easier for users to understand at a glance which datasets belong in which groups.  
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