Published Release Notes

Limits on active data flow runs

You can now configure a maximum number of concurrent active data flow runs for a node type. Set limits to ensure that you do not run out of system resources and that you have a reasonable processing throughput. If a limit is reached, the system queues subsequent runs and waits for active runs to stop or finish before queued runs can be initiated, starting with the oldest.

For more information see, Limit the number of active runs in data flow services (8.5).

Upgrade impact

If you have many data flow runs active at the same time, you might notice that some of the runs are queued and waiting to be executed.

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

You do not have to take any action. After the active runs stop or finish, the queued runs start automatically. The default limits are intended to protect your system resources, and you should not see a negative impact on the processing of data flows. However, if you want to allow a greater number of active data flow runs to be active at the same time, you can change the limits. For more information, see Limiting active data flow runs.

Support for Apache HBase 2.1 and Hadoop 3.0

Support for these versions extends Pega Platform™ compatibility with HBase releases to ensure that your database implementations integrate seamlessly with Pega Platform.

Pega Platform now supports:

• Apache HBase 2.1 for the HBase data set
• Apache Hadoop Distributed File System (HDFS) 3.0 for the HDFS data set

For more information, see Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5).

Searching for Pulse messages available in spaces

Pega Platform™ now supports searching for Pulse messages within a space. For greater accuracy of the results, you can search by applying different filters, such as keywords, message authors, and a time range for posting of the messages. The results return private and public posts, comments, and attachments that match the search filters. When the result is a comment, Pulse displays the whole message thread for full context.

For more information, see Search for Pulse messages in spaces (8.5), Searching for Pulse messages in spaces.

Automatic draft off mode for processes in case types

App Studio now supports automatically turning off the draft mode for processes in your case types. Any process that you add to a case type is in draft mode by default so that you can run the case type to check the run-time behavior even if the process contains errors. However, in a production environment, processes in draft mode do not work. To save time and deliver your projects faster, any process that has no errors now automatically switches off draft mode when you save the case type. Additionally, Case Designer now displays a list of errors that processes in your case type include, so that you can quickly locate any issues.

For more information, see Save time and effort with automatic draft off mode for processes in case types (8.5), Draft mode of case processes.

Enhancing your revision management process with Deployment Manager pipelines

Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.

For more information, see Managing the business-as-usual changes.

Support for Cloud AutoML topic detection models

In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.

For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).

Control group configuration for predictions

You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.

For more information, see Customizing predictions.

Response timeout configuration for predictions

You can now set a response timeout for your predictions in Prediction Studio. By setting a response timeout, you control how Prediction Studio registers customer responses that later serve as feedback data for your predictions.

For more information, see Customizing predictions.

External data flow rules are deprecated

External data flows are now deprecated and no longer supported. To improve your user experience with Pega Platform™, the user interface elements associated with these rules are hidden from view by default. Identifying unused features allows Pega to focus on developing and supporting the features that you need.

For more information, see Deprecated: External data flows.

Enhancements for fields in views and data models

Pega Platform™ now provides a unified experience of adding fields to views, the case type data model, and the application data model, by using an intuitive dialog box. For greater clarity, a new field type, data relationship, replaces data references, field groups, and field group lists. As a result, you can conveniently reuse data objects in your application. 

When you upgrade to Pega 8.5, your system automatically converts your field groups, field group lists, and data references to data relationships. The case type data model now displays all the fields by default, including any referenced fields, and provides an application layer that contains each field. Use this functionality to view how the data is organized across your system.

For more information, see Define fields in data objects intuitively (8.5), Adding data relationships to fields and data models.