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Serverless Workers Interactive Demo

SUPPORT, STABILITY, and DEPENDENCY INFO

Serverless Workers are in Pre-release and available to select Temporal Cloud customers. To request access during Pre-release, create a support ticket or contact your account team. APIs are experimental and may be subject to backwards-incompatible changes. Sign up for updates to be notified when Serverless Workers reach Public Preview.

Serverless Workers let you run Temporal Workers on serverless compute like AWS Lambda. There are no long-lived processes to provision or scale. Temporal Cloud invokes your Worker when Tasks arrive, and the Worker shuts down when the work is done.

Use the interactive demo below to explore how the configuration options affect the generated Worker code, deployment script, and CLI commands. Click "Start Workflow" to simulate the end-to-end Serverless Worker invocation flow.

Serverless Worker Flow

Start
Client
›
Task Queue
No pollers
›
Temporal
Invokes Worker
›
Worker
Processing
›
Done
Result

Execution Log

Configuration

Click “Simulate Workflow” to see the serverless worker flow in action
Simulated logs
The execution log above is a simplified, combined view for educational purposes. In a real Serverless Worker execution, logs are distributed across different services (Temporal, AWS Lambda, your application) with varying visibility.

Step-by-step walkthrough

Step 1: Worker Code

package main

import (
	lambdaworker "go.temporal.io/sdk/contrib/aws/lambdaworker"
	"go.temporal.io/sdk/worker"
	"go.temporal.io/sdk/workflow"
)

func main() {
	lambdaworker.RunWorker(worker.WorkerDeploymentVersion{
		DeploymentName: "my-app",
		BuildID:        "build-1",
	}, func(opts *lambdaworker.Options) error {
		opts.TaskQueue = "serverless-task-queue"

		opts.RegisterWorkflowWithOptions(MyWorkflow, workflow.RegisterOptions{
			VersioningBehavior: workflow.VersioningBehaviorPinned,
		})
		opts.RegisterActivity(MyActivity)

		return nil
	})
}

Next steps​