A problem can arise during the processing of TIMs when an update request is submitted. The update may take a significant amount of time to appear in the active_tim table and within the SDX.
Upon examining the logs, it appears that TIMs often move quickly through the ode-wrapper and the ODE. However, after this point, TIMs may experience delays while waiting in line at the logger-kafka-consumer, especially when multiple messages are being written to the database simultaneously.
The logger-kafka-consumer can create a bottleneck, impacting the efficient propagation of TIMs.
A problem can arise during the processing of TIMs when an update request is submitted. The update may take a significant amount of time to appear in the active_tim table and within the SDX.
Upon examining the logs, it appears that TIMs often move quickly through the ode-wrapper and the ODE. However, after this point, TIMs may experience delays while waiting in line at the logger-kafka-consumer, especially when multiple messages are being written to the database simultaneously.
The logger-kafka-consumer can create a bottleneck, impacting the efficient propagation of TIMs.