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Jadice Flow Prometheus Metrics Documentation & Grafana Dashboards

This documentation provides information about all available Prometheus metrics endpoints for Jadice Flow and how to use them effectively in Grafana dashboards.

Note: Example setup (preset grafana dashboard) is provided by Jadice team and can be adapted to your needs.

Metric variations​

Most of the metrics are provided by the controller, but there are also some available from the workers:

Controller metrics​

  • Audit Service Metrics - Internal service for writing and managing database metrics. Can be used to see database insert speed.
  • Job Controller Metrics - Metrics related to job processing and management.
  • Worker Service Pool Metrics - Metrics about the pool of worker services used by the controller to communicate with workers.
  • Item Processing Metrics - Shows how long it takes for an item to be processed by a step.
  • Item Writer Metrics - The time it takes to write item state into the database.
  • JDBC Persister Metrics - Shows how long it takes to insert the job request into the database.
  • Job Management Metrics - Job management metrics (job queues).
  • Step Execution Metrics - Metrics related to the execution of steps within jobs.
  • Worker Pool Management Metrics - Pool containing worker clients, are used by controller to send request to the workers. Can be used for scaling situations.

Worker metrics​

Note: Worker metrics are proportional to the number of active workers. For now there are 3 types of the metrics, so if for example you have 5 active workers, you will see 15 metrics in total.

  • Active Worker - Number of active workers in period of time.
  • Work Started Total - Indicates when a worker starts processing a job. (Currently not available)
  • Work Finished Total - Indicates when a worker finishes processing a job. (Currently not available)

Labels and their Usage​

Labels are key-value pairs that provide additional context to metrics. They help in filtering and aggregating data for more granular insights. Common labels include:

Note: To help users with filtering and aggregating metrics, some of the labels are added to the variables above the dashboard.

  • job: Job name
  • step: Step name within a job
  • worker: Worker name
  • jobName: Specific job name
  • jobType: Type classification of the job

Labels can be used in Prometheus queries to filter metrics. For example, to get the count of specific jobs, you can use: 

jadice_flow_controller_job_counter_total{application="$app", jobName=~"$jobs"}

In this example, $APP and $JOB are variables that can be set in Grafana to filter the metrics dynamically. Or you can specify a specific job name directly in the query:

jadice_flow_controller_job_counter_total{application="MyApp", jobName="MyJob"}

You can also use Stat visualization and set the Graph mode to None to get a quick overview of the metric value:

At the end you will have a visualization similar to this (depending on your setup):

Metric Types​

Currently these are the Jadice Flow metrics available from the controller and workers.

Audit Service Metrics​

jadice_flow_auditService_queue​

  • Type: Gauge
  • Aggregation: Average
  • Description: Size of the auditService queue (should usually be a low value, an increasing value could indicate JDBC performance problems).

jadice_flow_auditService_readCount_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Read count of the audit service when reading audit infos from database for an item.

jadice_flow_auditService_writeCount_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Write count of the audit service when writing audit infos to database for an item.

Job Controller Metrics​

jadice_flow_controller_job_counter_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total number of jobs processed by the controller.

jadice_flow_controller_job_timer_seconds_count​

  • Type: Counter
  • Aggregation: Sum
  • Description: Number of job timing measurements recorded.

jadice_flow_controller_job_timer_seconds_max​

  • Type: Gauge
  • Aggregation: Average
  • Description: Maximum job execution time recorded in seconds.

jadice_flow_controller_job_timer_seconds_sum​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total time spent executing jobs in seconds.

Worker Service Pool Metrics​

jadice_flow_controller_workerServicePool_active​

  • Type: Gauge
  • Aggregation: Average
  • Description: Number of currently active workers in the service pool.

jadice_flow_controller_workerServicePool_wait​

  • Type: Gauge
  • Aggregation: Average
  • Description: Shows parallel jobs.

Item Processing Metrics​

jadice_flow_itemProcessor_item_error_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total number of item processing errors.

jadice_flow_itemProcessor_item_processed_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total number of items successfully processed.

jadice_flow_itemProcessor_part_added_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total number of parts added during item processing.

Item Writer Metrics​

jadice_flow_itemWriter_writeTime_seconds_count​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_itemWriter_writeTime_seconds_max​

  • Type: Gauge
  • Aggregation: Average

jadice_flow_itemWriter_writeTime_seconds_sum​

  • Type: Counter
  • Aggregation: Sum

JDBC Persister Metrics​

jadice_flow_jdbcPersister_insertTimeMS_seconds_count​

  • Type: Counter
  • Aggregation: Sum
  • Description: Shows the sum of time in which the jdbc persister was persisting jobs.

jadice_flow_jdbcPersister_insertTimeMS_seconds_max​

  • Type: Gauge
  • Aggregation: Average
  • Description: Shows the sum of time in which the jdbc persister was persisting jobs.

jadice_flow_jdbcPersister_insertTimeMS_seconds_sum​

  • Type: Counter
  • Aggregation: Sum
  • Description: Shows the sum of time in which the jdbc persister was persisting jobs

Job Management Metrics​

jadice_flow_jobDeletion_queue​

  • Type: Gauge
  • Aggregation: Average
  • Description: Number of jobs queued for deletion.

jadice_flow_jobLauncher_persistTimeMS_seconds_count​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_jobLauncher_persistTimeMS_seconds_max​

  • Type: Gauge
  • Aggregation: Average

jadice_flow_jobLauncher_persistTimeMS_seconds_sum​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_jobLauncher_queuedJobs​

  • Type: Gauge
  • Aggregation: Average
  • Description: Number of jobs currently queued for execution.

jadice_flow_jobLauncher_queuedJobsByType​

  • Type: Gauge
  • Aggregation: Average
  • Description: Number of queued jobs grouped by job type.

jadice_flow_jobLauncher_runningJobs​

  • Type: Gauge
  • Aggregation: Average
  • Description: Number of jobs currently executing.

Step Execution Metrics​

jadice_flow_step_counter_total​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total number of steps executed.

jadice_flow_step_timer_seconds_count​

  • Type: Counter
  • Aggregation: Sum
  • Description: Number of step timing, full step with all items.

jadice_flow_step_timer_seconds_max​

  • Type: Gauge
  • Aggregation: Average
  • Description: Maximum step execution time in seconds.

jadice_flow_step_timer_seconds_sum​

  • Type: Counter
  • Aggregation: Sum
  • Description: Total time spent executing steps in seconds.

Worker Pool Management Metrics​

jadice_flow_workerServicePool_borrow_total​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_workerServicePool_release_total​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_workerServicePool_waitTimeToBorrow_seconds_count​

  • Type: Counter
  • Aggregation: Sum

jadice_flow_workerServicePool_waitTimeToBorrow_seconds_max​

  • Type: Gauge
  • Aggregation: Average

jadice_flow_workerServicePool_waitTimeToBorrow_seconds_sum​

  • Type: Counter
  • Aggregation: Sum

Metrics from Workers​

Note: Only available if prometheus for the workers is set up separately from the controller metrics installation (Are not enabled by default with the controller metrics).

workerActive_jf_worker_{WorkerName}​

  • Type: Gauge
  • Aggregation: Average
  • Description: Indicates if the worker is active.

workStarted_jf_worker_{WorkerName}_total​

  • Type: Counter
  • Aggregation: Sum

workFinished_jf_worker_{WorkerName}_total​

  • Type: Counter
  • Aggregation: Sum

Monitoring Best Practices​

  1. Performance Monitoring: Use timer metrics (sum/count) to calculate average execution times.
  2. Error Tracking: Monitor error counters to identify failure patterns.
  3. Capacity Planning: Track queue depths and active workers for resource planning.
  4. Trend Analysis: Use rate() and increase() functions for analyzing metric trends over time.
Last updated on by Simon Welsch