Published Release Notes

REST APIs added for management of agents and requestors

You can use new REST APIs to download a module version report or manage requestors and agents in Pega Platform™. For example, you can use a requestor REST API to end a requestor process, and you can use an agent REST API to start or stop an agent. These APIs allow external systems to report and manage Pega resources.

For more information, see Pega API for Pega Platform and Pega API.

Data pages can source information from a robotic desktop automation

You can now configure data pages to source information from robotic desktop automations (RDA). Using an RDA to source a data page allows you to connect your Pega Platform™ application to any application that is accessible from an end-user's desktop. By using automations to retrieve data and load it into a data page, you can use data virtualization to separate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

MBeans deprecated in favor of Pega API

The use of MBeans for cluster management has been deprecated, although MBeans will continue to function for legacy deployments. The recommended best practice for automating system management is to use the Pega API. For more information, see Pega API.

Supported artifacts section removed from repository rule form

The Supported artifacts check box has been removed from the repository rule form. Developers can use repositories to provide centralized storage, versioning, and metadata support for application artifacts.

For information about repository connections, see Creating a repository for file storage and knowledge management.

Automatically populate columns on import

If an imported archive file adds columns to existing tables, Pega Platform ™ can automatically expose and populate the new columns during the import. For more information, see Import wizard.

Automatically revalidate and save classes after upgrade

To automatically revalidate and save classes after an upgrade, edit the product rule definition. After you upgrade the application, the classes you specify are revalidated and saved under the application version context you provide. If the application version exists on the target system before the upgrade, the revalidate and save process is not called.

For more information about editing the product rule, see Specifying product rule deployment options.

Add and populate new indexes on import

If you import an archive that includes new indexes, use the Import wizard advanced mode to schedule a post-import job to automatically add and populate the new indexes. For more information, see Import wizard.

Resolve Job Scheduler and Queue Processor rules with the AsyncProcessor requestor type

Use the new AsyncProcessor requestor type to define a default dynamic context to resolve background rules such as Job Scheduler and Queue Processor rules. Switch to an application-based context after you create your own access groups, to resolve only the rules that are included in your application.

For more information, see AsyncProcessor requestor type.

Support for an external Elasticsearch cluster for on-premises deployments

On-premises customers can configure an Elasticsearch cluster that is external to the Pega Platform™ by using client-server mode. Using an external search configuration makes Elasticsearch more highly available and scalable. 

You can view the status of your external Elasticsearch service on the Search landing page. For more information, see link to Viewing the status of an external search service.

New integration system resource

You can now define integration systems that you can use when you create data pages, integration connectors, and databases. Integration systems are associated with an icon that is displayed on the Integration Designer so that you can quickly view the systems that are used by your data types. This information is useful for assessing the effect of migrating to a new system of record and for understanding your data model.

For more information, see Creating an integration system.