Blogs›Temporal›Serverless Workers
Serverless Workers enable Temporal Workers to run on serverless compute platforms like AWS Lambda. Temporal Cloud automatically manages the invocation, scaling, and graceful shutdown of these workers based on workload volume and metrics, allowing them to scale to zero when not in use. This reduces the operational overhead of managing worker infrastructure and simplifies the process of getting started with Temporal. This pre-release feature supports AWS Lambda with Go, Python, and TypeScript SDKs, with plans to expand to Google Cloud Run and additional SDKs.
5/6/2026
Introduces Serverless Workers, allowing Temporal Workers to run on serverless compute (starting with AWS Lambda). Temporal Cloud automatically manages invocation, scaling, and shutdown, scaling to zero when appropriate. This reduces infrastructure planning and autoscaling strategy design overhead.
5/6/2026
This post announces the pre-release of Temporal Serverless Workers, enabling deployment of Temporal Workers to AWS Lambda. It details the benefits of reduced time to first workflow, automatic scaling (including to zero), reduced operational overhead, and pay-per-use cost model. The post outlines the three-step setup process (upload code to Lambda, create IAM role, inform Temporal) and provides a Go code example. It also discusses when to use Serverless Workers versus self-managed Workers and outlines future plans for additional compute providers and SDK support.