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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Automatic retries for the SAVE operation on records

Valid from Pega Version 8.3

Batch and real-time data flow runs now automatically retry the SAVE operation on records when an error occurs because of resource unavailability. This functionality ensures that the records are eventually saved if the target data set is only temporarily unavailable, for example, because of load or network issues.

You can configure the default number of retries for the entire system in a dynamic system setting. To adjust the setting to different resource allocations and operating environments, you can update that number for each data flow run.

For more information, see Changing the number of retries for SAVE operations, Creating a batch run for data flows, and Creating a real-time run for data flows.

REST API for monitoring DSM services

Valid from Pega Version 8.3

Decision Strategy Manager (DSM) now provides a REST API that you can use to monitor DSM services without having to access Pega Platform™. By integrating your daily monitoring tools with the management REST API, you can retrieve a list of DSM nodes, check the status of these nodes, and view details of a service from all nodes in the cluster.

For more information, see Getting started with Pega API for Pega Platform.

Create custom criteria for proposition filters by using the condition builder

Valid from Pega Version 8.3

Proposition filters now use the condition builder to define the criteria that a proposition or group of propositions must match in order to be offered to a customer. The condition builder provides a simple, flexible tool for selecting and grouping the entry criteria.

For more information, see Create custom criteria for Proposition Filter rules with the condition builder (8.3).

Fast-track change requests for high-priority business needs

Valid from Pega Version 8.3

Perform urgent rule updates through fast-track change requests. The new type of change requests supports addressing high-priority business needs and deploying them immediately, without the need to disrupt an ongoing revision.

For more information, see Release urgent business rule updates through fast track change requests (8.3) and Creating application overlays.

Support for custom database tables in external Cassandra clusters

Valid from Pega Version 8.3

Pega Platform™ now supports a connection to external Cassandra clusters through a dedicated Database Table data set, which reduces the need for data ingestion and export. You can use custom tables that you store in your external Cassandra cluster in data flows for accessing and saving data. You can access your custom data model by mapping the model to a Pega Platform class.

For more information, see Connecting to an external Cassandra database through a Database Table data set.

Deploy revisions directly in target environments

Valid from Pega Version 7.3

As a revision manager, you can now directly deploy or migrate completed revisions to multiple Pega 7 Platform environments that were configured as targets by the system architect. The revision management process is faster because you do not need to package a revision as a JAR file, and then manually import that file to the Pega 7 Platform. Additionally, this solution gives business users more control over application rulesets and enables them to act more independently.

For more information, see Direct deployment of revisions.

Delegation experience in revision management

Valid from Pega Version 7.3

Revision managers can now control rule authoring by assigning a delegation experience to any rule that is part of a revision management change request. Delegation experience types offer different rule authoring capabilities, so the revision manager can select the appropriate delegation experience for the task and the strategy designer’s experience.

File data set

Valid from Pega Version 7.3

You can now create a File data set that reads data from a file that is in CSV or JSON format. You can use this type of data set to test data flows and strategies.

For more information, see Creating a File data set record.

Analyze intentions in text analytics

Valid from Pega Version 7.3

You can now analyze text content to determine whether it contains any underlying intention. Through intent analysis, you can determine whether your customers are likely to continue subscribing to your services, want to know more about your products, or whether you are facing customer churn. Based on the detected intentions, you can take appropriate actions to ensure the growth of your business and minimize customer churn. Intent analysis is supported only for the English language.

For more information, see Intent analysis and filtering.

Decision Analytics portal replaces Predictive Analytics Director portal

Valid from Pega Version 7.3

The Decision Analytics portal replaces the Predictive Analytics Director (PAD) portal, the Text Analytics landing page, and the Adaptive Models Reporting landing page. In this new work area for predictive analytics and text analytics, the business scientist can control the full model life cycle by building predictive models, importing PMML models, building sentiment analysis and text classification models, creating and monitoring adaptive models, and updating any existing models.

For more information, see Overview of the Decision Analytics work area.

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