Technologies/Temporal/temporal_server_batcher_processor_requested
TemporalTemporalMetric

temporal_server_batcher_processor_requested

batcher processor requests count
Dimensions:None
Available on:DatadogDatadog (1)
Interface Metrics (1)
DatadogDatadog
batcher processor requests count
Dimensions:None
Related Insights (3)
High Batcher Processor Error Rate Indicates Batch Operation Failureswarning

The batcher service processes batch operations (terminate, cancel, signal, delete, reset, update options, unpause activities) across multiple workflows. High error rates in the batcher processor indicate systemic issues with batch job execution that could leave workflows in inconsistent states or prevent mass operations from completing.

High batcher processor errors indicate batch processing failureswarning

The Batcher system collects items into batches and processes them through a single-threaded processing function. Errors during batch processing indicate failures in the batch function execution, which can lead to unprocessed items and system degradation.

Batch Operations Failing Due to Insufficient Rate Limitswarning

Batch operations fail or process too slowly when the default rate limit of 50 operations per second is not increased at both namespace and SDK level, causing timeouts or incomplete batch processing