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Describe the issue
There is currently no real-time monitoring system integrated with Spark within the fink-broker infrastructure. This limits the ability to track job performance, resource usage, and detect issues during processing in real-time.
Expected behaviour
The system should provide real-time metrics and monitoring for Spark jobs, including but not limited to:
Job execution time
Resource (CPU, memory) utilization
Task success/failure rates
Data processing rates (throughput)
This will allow administrators to easily visualize performance metrics and troubleshoot any issues more efficiently.
Actual behaviour
Currently, no monitoring tools are integrated into the fink-broker Spark processes, so resource usage and job performance need to be tracked manually, or users must rely on log files without real-time insights.
Screenshots
N/A
Additional context
The integration could leverage existing Spark monitoring tools like Spark UI, or Prometheus, to enable comprehensive insights into the processing jobs.
The text was updated successfully, but these errors were encountered:
Describe the issue
There is currently no real-time monitoring system integrated with Spark within the fink-broker infrastructure. This limits the ability to track job performance, resource usage, and detect issues during processing in real-time.
Expected behaviour
The system should provide real-time metrics and monitoring for Spark jobs, including but not limited to:
This will allow administrators to easily visualize performance metrics and troubleshoot any issues more efficiently.
Actual behaviour
Currently, no monitoring tools are integrated into the fink-broker Spark processes, so resource usage and job performance need to be tracked manually, or users must rely on log files without real-time insights.
Screenshots
N/A
Additional context
The integration could leverage existing Spark monitoring tools like Spark UI, or Prometheus, to enable comprehensive insights into the processing jobs.
The text was updated successfully, but these errors were encountered: