Published Release Notes

Historical data extraction for adaptive models

Adaptive models now support the extraction of historical customer responses for offline analysis. Additionally, you can use the historical data to build a model in a machine learning service of your choice.

For more information, see Extract historical responses from adaptive models for offline analysis (8.4).

Simulation of data pages and third-party connections

When configuring your unit test case environment, you can now set up simulated data for connector and data page rules, instead of connecting to external sources.

By simulating such data calls, you are not dependent on any third-party server when running your tests.

This feature supports the following rules:

• Data page
• Connect-Cassandra
• Connect-CMIS
• Connect-dotNet
• Connect-EJB
• Connect-HBase
• Connect-HTTP
• Connect-Java
• Connect-JMS
• Connect-MQ
• Connect-REST
• Connect-SAP
• Connect-SAPJCo
• Connect-SOAP

For more information about simulating third-party connections, see Simulating data pages and third-party connections.

New branch quality dashboard

Pega Platform™ 8.4 introduces a new branch quality dashboard that shows the following metrics:

• The branch’s guardrail compliance score and the number of guardrail violations
• The percentage and number of unit tests that passed for the branch
• The percentage and number of rules that the tests cover
• Potential merge conflicts that can be addressed directly from the branch quality dashboard

For more information about the new branch quality dashboard, see Viewing branch quality and branch contents.

Improved reliability of Visual Business Director

Improvements to the reliability of Visual Business Director (VBD) eliminate the impact of temporary access loss to the VBD cluster. The improvements include the ability to continue writing data to a VBD dataset while the corresponding server node is unavailable, enhancements to single-case data flows that write data to VBD, and a reduction in the VBD cache size.

For more information, see Eliminate the impact of temporary access loss to the VBD cluster (8.4).

Rules can no longer access Pega internal Java packages

You can no longer create rules that access Java packages that reference internal APIs (syntax com.pega.platform.*.internal*). This change does not affect rules that access Pega public API packages.

If you encounter issues when running existing rules that reference internal Pega APIs, contact Pega Support.

Upgrade impact

After an upgrade to 8.4 and later, clients can no longer save new or modified rules that access Pega internal APIs; existing rules that reference internal APIs can still be run but cannot be modified. 

What steps are required to update the application to be compatible with this change?

Following a software upgrade to 8.4 or later, clients can refactor existing rules into guardrail compliant rules. To find rules to refactor, run the validation tool from designer studio (Application > Tools > Validation) to identify what rules fail validation; failed rules that include the message "Test compilation failed : Illegal internal class reference : com.pega.internal.XYZ" can updated to reference appropriate APIs.

Strategies are now available as a condition type in proposition filters

When designing proposition filters, you can now include strategy outcomes as a condition to be evaluated. Select a strategy and specify the component that you want to use as output to include more advanced decisioning in your proposition filters.

For more information, see Enrich your Proposition Filter rules with conditions based on strategy results.

Client-server deployment of Hazelcast

Pega Platform™ now supports the client-server model for the Hazelcast service, which provides cluster communication and distributes Pega Platform features across nodes. This optional deployment model introduces independent scalability for both servers and clients in Pega Platform, improving stability for deployments that use a large number of nodes.

The Hazelcast client-server model is intended for select environments running Pega Platform 8.4 across a large number of nodes and should be deployed only when directed by Global Client Support.

Default text analytics model for detecting small talk

Enhance your web chat experience by configuring chatbots to detect small talk. Pega Platform™ provides the default model that is a topic detection model, available for English, German, Spanish, Dutch, Portuguese, Italian, and French.

For more information, see Configure your chatbot for small talk.

Integrate your application with external Kafka clusters

Configure your application to use an external Kafka cluster for managing real-time data. By having an external Stream service provider, you can perform such maintenance tasks as an upgrade or hotfix deployment faster because external nodes do not require restarting.

For more information, see Externally managed Stream service.

Updated architecture of the data flow service

Benefit from improvements to data flow architecture that increase the stability of data flow runs and minimize the need for manual restarting of data flow jobs. Real-time data flows now use improved node rebalancing for better handling of failed or restarted nodes. If the topology changes, batch data flows no longer attempt to pause and resume the run. As such, there are fewer interactions with the database and between the nodes, resulting in the increased resilience of the Data Flow service.

If you are upgrading from a previous version of Pega Platform™, see Changes to the architecture of the Data Flow service for an overview of the changes to the Data Flow service compared to previous versions.