The service offers the possibility to schedule a message that you only need to process after a configured time period. It can be quickly deployed on the chosen infrastructure and then connected to the FLOWX.AI Engine through Kafka events.Documentation Index
Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt
Use this file to discover all available pages before exploring further.
Using the scheduler
After deploying the scheduler service in your infrastructure, you can start using it to schedule messages that you need to process at a later time. One such example would be to use the scheduler service to expire processes that were started but haven’t been finished.For example the engine topics
KAFKA_TOPIC_PROCESS_SCHEDULE_OUT_SET and KAFKA_TOPIC_PROCESS_SCHEDULE_OUT_STOP must be the same with the ones configured in the scheduler at KAFKA_TOPIC_SCHEDULE_IN_SET and KAFKA_TOPIC_SCHEDULE_IN_STOP environment variables.KAFKA_TOPIC_SCHEDULE_IN_SET):
java.time.Instant.
At the scheduled time, the payload will be sent back to the response topic defined in the message, like so:
KAFKA_TOPIC_SCHEDULE_IN_STOP)
applicationName and applicationId are used to uniquely identify a scheduled message.
Scheduler setup
Steps needed in order to deploy and set up the service

