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.

No longer supported translator configuration options

The following translator configuration options are not needed and are no longer supported. If you previously configured any of these system settings, remove them from the system settings to avoid a warning message. For example, if you set translator/useparserfamily, the following message is displayed at startup: "Translator option, 'translator/useparserfamily' is not needed and no longer supported. Remove this from the system settings."

• translator/useparserfamily
• translator/usecodegenerator
• translator/usenativedouble
• translator/optimization/use71BlockAnalysis
• translator/optimization/use71ConstantFolding
• translator/optimization/use71AssignmentTypeSimplification
• translator/optimization/use71IntrinsicFunctions
• translator/use71PropSetGeneration
• translator/use71ParserAssignment
• assembly/model/useBlock4ContiguousSets
• /translator/pandc/comparepandcalgorithms
• /translator/pandc/use6xalgorithms
• /Compatibility/CheckForTopLevelClassMismatch

In addition, the com.pega.pegarules.generation.parseoverride bootstrap option is no longer supported. Remove this option from the system settings.

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.

PegaDATA connection settings now required in the prconfig.xml file

If you use the default prconfig.xml file that is included with Pega^® Platform, and you have not removed the PegaDATA connection settings, no action is required. If you use a custom prconfig.xml file, for example, for running tests, ensure that the database connection settings for PegaDATA are not blank.

For more information about the connection settings, see PegaDATA connection settings in the prconfig.xml file.

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.

Consistent search experience in App Studio

Pega Platform™ now supports a unified search mechanism in App Studio. Instead of manually locating a single item, such as a case type, a channel, or a data object, you can simply use the Search option in the navigation pane. You can also use Search in case types and personas landing pages, to conveniently access the information that you need, for example channels and case types associated with a persona.  

For more information, see Plan your Microjourneys more conveniently in an improved Case Designer (8.5), Creating a Microjourney for customer success.

Automatically update dependent applications to use the latest versions of built-on applications

You can now automatically update dependent applications to use the latest versions of built-on applications. When you import an archive that you created from a product rule, you can update all dependent applications to be built on the latest application versions in the archive.

For more information, see Updating dependent applications with the latest versions of built-on applications.

Automated project estimation in App Studio

App Studio now supports estimating projects in an intuitive and automated way, so that you can plan your work with greater efficiency and accuracy. Estimations include the number of hours that you will need to deliver an application, based on multiple factors such as the delivery methodology, the number and complexity of features to implement, and the number of teams involved. After you provide the required data, the project estimator calculates the expected duration of application development. To share your project estimates outside Pega Platform™, for example with your stakeholders, you can also export estimates to an .xlsx file.

For more information, see Estimate projects automatically in App Studio (8.5), Estimating application development.

Enhanced application inventory to support features

Now the application inventory in App Studio also includes features that represent elements of your application to implement, such as language packs, along with personas and data objects. The inventory provides the option to add new features or reuse existing features from built-on applications. With the enhanced inventory, application development planning and tracking is faster and more intuitive because you can now easily check the features that your development team needs to implement. For greater clarity, the inventory supports different methods of grouping features, for example, by release or complexity.     

For more information, see Managing application inventory.