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MATRIXX Event Streaming
Administering Event Streaming
The Event Stream Server and Event Streaming Framework require administration tasks. The Event Streaming Framework administration tasks includes manually recovering events from streamed event files.

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MATRIXX Event Streaming
- About MATRIXX Event Streaming
  MATRIXX Event Streaming describes the tasks required to create custom event streams for events received by your MATRIXX environment. An event stream is sent to the Event Streaming Framework from the Event Stream Server running on MATRIXX Engine. The Event Stream Server provides the APIs, libraries, and other files needed to create custom event streams. The Event Streaming Framework provides connectors for sending event stream data to event stream platforms, such as Kafka and ActiveMQ.
- Event Streaming Overview
  Use event streaming to integrate downstream message systems with MATRIXX. Fully optimize these message systems to filter, transform, and deliver events to multiple secondary targets.
- Implementing Event Streaming
  Use these steps as a summary of tasks required for event streaming in a MATRIXX environment.
- Event Streaming Framework Connectors
  An Event Streaming Framework connector is required to stream events. Out-of-the-box connectors are explained in this section. For information about setting the log level for individual connectors, see the discussion about monitoring event streaming in MATRIXX Monitoring and Logging.
- Administering Event Streaming
  The Event Stream Server and Event Streaming Framework require administration tasks. The Event Streaming Framework administration tasks includes manually recovering events from streamed event files.
  - Manually Recovering Events from Streamed Event Files
    Use the create_event_files_from_txn_logs.py script to manually recover events from a _glossary/streamed_event_file.html. This script creates an output file containing events from a given _glossary/global_transaction_counter.html range for SEFs.
  - Monitor Event Streaming
    To monitor and troubleshoot event streaming, you can create a custom Grafana dashboard or collect statistics from Prometheus.
  - Configure Event Restreaming for Failed Events
    Perform this task to restream failed events.
  - Reset Event Streaming and Reprocessing Events
    Resetting event streaming in a cloud native environment involves resetting the Event Streaming Framework (ESF) cursor after the ESF and MATRIXX Engine are redeployed.
  - Reprocess Failed Events
    Events are failed if they cannot be published to the event consumer. You must configure a failed_delivery_rate parameter in each connector that you want to collect failed events for. This parameter sets an event failure rate percentage. If failed events exceed that rate, they are reprocessed or collected in a file for later inspection and possible reprocessing. This task explains how to manually reprocess failed events.
  - Troubleshooting
    To troubleshoot and recover from an event streaming failure in a cloud native environment, you can refer to the provided Grafana dashboard.
- Appendixes
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Glossary

Administering Event Streaming

The Event Stream Server and Event Streaming Framework require administration tasks. The Event Streaming Framework administration tasks includes manually recovering events from streamed event files.

For more information about how event streaming logs messages, see the discussions about managing event stream logging in MATRIXX Monitoring and Logging.