7 docs tagged with "Performance"

Use Temporal SDK slot availability, latency, and cache metrics to tune Worker performance.

Use Task Queue backlog metrics and CLI or SDK queries to evaluate Worker load and tune Task Queue processing.

Optimize Temporal SDK performance by fine-tuning maxConcurrentWorkflowTaskExecutionSize, Worker Cache options, and Poll Success Rate. Ensure balanced Worker resources and monitor metrics for best results.

Configure Worker executor slots, poller options, and Workflow cache options for Temporal SDK performance.

Choose and implement fixed-size, resource-based, and custom slot suppliers, with SDK examples for Worker tuners.

A quick reference guide for Temporal Worker configuration defaults across SDKs, organized by resource type (compute, memory, IO) with key metrics for each.

Tune Workflow cache size and thread limits to balance Worker memory use against replay latency.