Workflows allow you to orchestrate and automate Google Cloud and HTTP-based API services with serverless workflows.
This repository contains a collection of samples for Workflows for various use cases.
There's a presentation that explains Workflows.
- Workflows syntax cheat sheet
- Create, start, stop VM using Compute Connector
- Write and read JSON files into GCS
- Send an email with SendGrid from a workflow
- Data Loss Prevention workflow
- Service chaining
- Create and Access Secrets in Secret Manager
- Eventarc and Workflows
- Eventarc (Cloud Storage) and Workflows
- Eventarc (AuditLog-Cloud Storage), Cloud Run and Workflows
- Eventarc (Pub/Sub) and Workflows
- Eventarc (Pub/Sub), Cloud Run and Workflows
- Workflows and Eventarc (Pub/Sub)
- Image processing pipeline v2 - Eventarc (Cloud Storage) + Cloud Run + Workflows
- Image processing pipeline v3 - Eventarc (Cloud Storage) + Workflows
- Event payload storer
- Terraform samples
- Machine Learning and iteration samples
- Callback samples
- Retries and Saga Pattern in Workflows
- Long running containers with Workflows and Compute Engine
- Workflows state management with Firestore
- Cloud Run and Workflows samples
- Batch and Workflows samples
- Running BigQuery jobs against Wikipedia dataset with Workflows parallel iteration
- Workflows lifecycle
- Google Workspace and Workflows
- Workflows executes commands (gcloud, kubectl)
- Load data from Cloud Storage to BigQuery using Workflows
- A workflow executes other workflows in parallel
- Buffer workflow executions with a Cloud Tasks queue
- Deploy a Kubernetes application with Workflows
- Vertex AI and Workflows
- Export from Bigtable to Vertex Vector Search
This is not an official Google product.