Published Release Notes

Case-insensitive filtering in reports

Filtering in reports is now case-insensitive, improving the reporting and searching experience. You can turn off case-insensitive filtering, for example, by using an activity. You might want to do this if your index is too big or if the length of time it takes for indexing impacts performance.

For more information on report filtering, see Editing filter conditions.

Predictive models monitoring

In Prediction Studio, you can now monitor the predictive performance of your models to validate that they make accurate predictions. Based on that information, you can re-create or adjust the models to provide better business results, such as higher accept rates or decreased customer churn.

For more information, see Monitoring predictive models.

Kafka custom serializer

In Kafka data sets, you can now create and receive messages in your custom formats, as well as in the default JSON format. To use custom logic and formats for serializing and deserializing ClipboardPage objects, create and implement a Java class. When you create a Kafka data set, you can choose to apply JSON or your custom format that uses a PegaSerde implementation.

For more information, see Creating a Kafka data set and Kafka custom serializer/deserialized implementation.

Additional configuration options for File data sets

You can now create File data sets for more advanced scenarios by adding custom Java classes for data encryption and decryption, and by defining a file set in a manifest file.

Additionally, you can improve data management by viewing detailed information in the dedicated meta file for every file that is saved, or by automatically extending the filenames with the creation date and time.

For more information, see Creating a File data set for files on repositories and Requirements for custom stream processing in File data sets.

Simplified testing of event strategies

Evaluate event strategies by creating test runs. During each run, you can enter a number of sample events with simulated property values, such as the event time, the event key, and so on. By testing a strategy against sample data, you can understand the strategy configuration better and troubleshoot potential issues.

For more information, see Evaluate event strategies through test runs.

Data flow life cycle monitoring

You can now generate a report from the Run details section of a Data Flow rule that provides information about run events. The report includes reasons for specific events which you can analyze to troubleshoot and debug issues more quickly. You can export the report and share it with others, such as Global Customer Support.

For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.

Data flow runs retry connections that fail

Real-time and batch data flow runs now retry dataset connections that fail when the related service is temporarily unavailable, for example, when a connection to a Cassandra database times out. With the automatic retries, you no longer need to run data-heavy and CPU-intensive jobs multiple times and the maintenance of data flow runs diminishes significantly.

For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.

Optimized performance of decision strategies

Strategies that are part of data flows are now automatically optimized to achieve the best performance. You can also choose the properties that a strategy outputs to further increase the efficiency without additional strain on your hardware. 

For more information, see Adding strategies to dataflows. 

Support for Firebase Cloud Messaging (FCM) push notifications in Android custom mobile apps

You can now create Android custom mobile apps that use push notifications with the Firebase Cloud Messaging (FCM) services. The push notifications for Android custom mobile apps based on legacy Google Cloud Messaging (GCM) are deprecated, as GCM services will be officially removed from use on April 11, 2019. To continue to use push notifications, you must migrate your custom mobile apps to FCM services. Before building your custom mobile app, you must register your Android app for push notifications in the Firebase console, obtain the FCM server key and Google Services JSON file, and use the key and file in the Android certificate set to build the custom mobile app.

For more information, see Migrating Android custom mobile apps that use push notifications to Firebase Cloud Messaging, Push notifications in Android mobile app, and Android certificate set.

PEGA0107 alert enables performance monitoring of offline-enabled apps

You can now monitor the performance of offline-enabled apps by analyzing PEGA0107 alerts from Pega Predictive Diagnostic Cloud™. PEGA0107 alerts are equivalent to PEGA0069 alerts in the context of offline-enabled applications, but PEGA0069 alerts are not generated for offline-enabled applications.

For more information, see PEGA0107 alert: Client page load time for offline-enabled applications and Pega Predictive Diagnostic Cloud Improvement Plan overview.