Published Release Notes

Extract data from Pega Cloud to an on-premises database

You can now use Pega^® Business Intelligence Exchange (BIX) to extract data from Pega Cloud to an on-premises relational database management system. Extracting data from Pega Cloud directly to an on-premises database improves efficiency by eliminating the need for file extraction and the development of a file extraction infrastructure.

For more information, see Extracting data from Pega Cloud to an on-premises database.

Improved connection pooling performance

HikariCP is now used for connection pooling for databases that are configured by using a URL. HikariCP improves connection pooling performance; however, more database connections might be used than in previous versions of Pega^® Platform.

As a result of the switch to HikariCP, you cannot use the System Management Application (SMA) to get diagnostic data from your application. For instructions about how to get diagnostic data by using REST services, see Obtaining connection pool diagnostic data by using REST services.

System state data is saved for 90 days

System state data is now saved to the database for 90 days and can be downloaded as a JSON file. Having previous system state data available is useful for debugging system problems. Operators with the pzSystemOperationsObserver privilege can download system state data from the Cluster Management landing page for either the entire cluster or a single node. In addition, the PersistClusterState and PersistNodeState agents have been added to the Pega-RulesEngine ruleset for persisting system state data to the database.

For more information, see Downloading the system state.

Node classification replaces NodeID-based configuration

For simpler cluster administration and better application resiliency, Pega^® Platform is moving toward a node classification model. Although agents will continue to work by using NodeIDs for several upcoming releases, use node types instead of NodeID configuration for agents, listeners, and decisioning services for more efficient operations and upgrades.

For more information, see Node classification.

CyberArk password vault support added for Pega database

With the CyberArk password vault, you can store your systems' passwords in a secure, central location and retrieve them from that location instead of directly entering credentials into the systems. This support is available only for IBM WebSphere environments.

For more information, see Pega Platform deployment guides.

Support added for multiple mashups

You can now include multiple mashups on a single webpage or browser, even if the mashups have different application and authentication requirements. Use mashups to embed a Pega Platform™ application as a gadget on your website. For example, you can embed Web Chatbot and Self-Service Advisor on the same website.

For more information about mashups, see Configuring the Mashup channel.

Improved management of batch indexing

You can now cancel and check the status of a batch index process directly from the Search landing page in Dev Studio. The landing page now refreshes automatically every 10 seconds so that you can easily see the most recent status of the batch index process. Additionally, the reindex operation is now 20% faster than in previous versions. These features provide greater visibility into batch indexing and improve your ability to fix issues with a batch indexing process.

For more information about batch indexing, see Rebuilding search indexes from the user interface.

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Define a default reporting database

You can now easily define a reporting database for all classes that are assigned to a primary database. You can also assign this reporting database as the default reporting database. This provides support for reporting against Amazon Aurora read replicas. AWS Aurora increases the performance and stability of your database management system.

For more information about reporting, see Report Definition data access tab.