Workflows documentation
You can use Workflows to execute services in an order you define: a workflow. Combine the power of Google Cloud services, custom services hosted on Cloud Run functions or Cloud Run, and any HTTP-based API to create flexible serverless applications. Workflows requires no infrastructure management and scales seamlessly with demand, including scaling down to zero.
立获300美元免费赠金
Google Cloud新用户首次注册即可获得300美元赠金。此外，无论新老用户，均可免费使用20多款产品，积累动手实践经验。
立获300美元免费赠金
Google Cloud新用户首次注册即可获得300美元赠金。此外，无论新老用户，均可免费使用20多款产品，积累动手实践经验。
Documentation resources
Resources
Related resources
Run a batch translation using the Cloud Translation connector
Learn how to use the Cloud Translation API connector to translate files to other languages in asynchronous batch mode.
Use Workflows with Cloud Run and Cloud Functions
Learn how to use Workflows to link two public HTTP services (using Cloud Functions), an external REST API, and a private Cloud Run service together.
Create a human-in-the-loop workflow using callbacks
Learn how to create a workflow that supports a callback webhook and waits for your input to reject or validate the translation of some text.
Run multiple BigQuery jobs in parallel
Run multiple BigQuery query jobs in parallel, improving performance when compared to running the jobs serially.
Run a Batch job using Workflows
Learn how to use Workflows to schedule and run a Batch job that executes six tasks in parallel on two Compute Engine VMs.
Load data from Cloud Storage to BigQuery using Workflows
Learn how to run serverless workflows using Workflows, Cloud Functions, and Firestore to load raw data, such as event logs, from Cloud Storage to BigQuery.
Invoke Cloud Run
Execute a Cloud Run job that processes event data saved in Cloud Storage.
Use a connector
Query a BigQuery dataset and write the results to a Sheet spreadsheet using connectors.
Wait for events using callbacks
Store callback details in a Firestore database.