Google Cloud Workflows

Definition

Google Cloud Workflows is a serverless orchestration service that lets developers define, in a YAML or JSON-based syntax, sequences of steps that call HTTP endpoints, Google Cloud services, and Cloud Functions or Cloud Run services, handling retries, error handling, and conditional logic without managing infrastructure.

Overview

Google Cloud Workflows provides a way to coordinate a series of tasks — spanning Google Cloud APIs, custom HTTP endpoints, and serverless compute like Cloud Functions or Cloud Run — into a single, reliable, observable process, without needing a dedicated orchestration server or hand-rolled retry logic. Workflows are defined declaratively in a YAML (or equivalent JSON) syntax describing a sequence of named steps, each of which can call an HTTP endpoint, invoke a documented Google Cloud API connector, assign variables, branch conditionally with `switch` statements, or iterate over collections. Because Workflows is fully serverless, there is no infrastructure to provision or scale — executions run on Google-managed infrastructure, billed per step executed and per execution, and can run for up to a year for long-lived processes. Built-in support for retries (with configurable backoff policies) and try/except-style error handling lets workflow authors handle transient failures in downstream services without embedding that resilience logic into every calling application. Workflows integrates tightly with the rest of Google Cloud through connectors — pre-built, strongly-typed wrappers around common Google Cloud APIs (BigQuery, Cloud Storage, Pub/Sub, Compute Engine, and others) that simplify calling those services compared to constructing raw HTTP requests, alongside the ability to call any external HTTP/REST API, including third-party SaaS services. Common patterns include coordinating a sequence of Cloud Functions or Cloud Run invocations for data processing pipelines, orchestrating approval or notification flows that call multiple APIs in sequence, and gluing together CI/CD or operational automation tasks that span several Google Cloud services, positioning it as Google Cloud's direct counterpart to AWS Step Functions and Azure Logic Apps.

Key Features

• Declarative workflow definitions in YAML or JSON syntax
• Fully serverless — no infrastructure to provision or manage
• Built-in connectors for common Google Cloud APIs (BigQuery, Pub/Sub, Storage, etc.)
• Can call any external HTTP/REST endpoint, including third-party APIs
• Configurable retries with backoff and try/except-style error handling
• Conditional branching (`switch`) and iteration over collections
• Executions can run for up to a year for long-lived processes
• Billed per step executed rather than for idle infrastructure

Use Cases

Alternatives

Frequently Asked Questions

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