Workflows orchestrates Google Cloud services and HTTP APIs in a serverless, declarative environment.
What is Workflows?
Google Cloud Workflows is a fully managed orchestration service. You define workflows in YAML or JSON that describe which services are called in which order. The service handles execution, error handling, and retries.
Unlike event-driven architectures with Pub/Sub, Workflows defines explicit flows. This makes complex processes traceable: every step, every condition, and every error case is visible in the workflow definition.
Workflows integrates natively with numerous Google Cloud APIs. Cloud Functions, Cloud Run, BigQuery, Pub/Sub, and many other services can be called directly. For external services, use HTTP connectors. Billing distinguishes between internal steps (within Google Cloud) and external steps (HTTP calls outside Google Cloud or callback waits), each with its own free quota.
Core Features
- Declarative workflow definition: Flows are described in YAML or JSON, including conditions, loops, and error handling.
- Native GCP integration: Direct calls to numerous Google Cloud APIs without extra connector code.
- HTTP connectors: Integration of external APIs and SaaS services via generic HTTP calls.
- Long-running processes: Support for executions spanning hours up to significantly longer periods, including callback-based waiting.
- Error handling and retries: Built-in mechanisms for retries, backoff, and compensation logic.
Common Use Cases
Microservice Orchestration
An e-commerce platform orchestrates the checkout process: the workflow checks inventory, reserves items, processes payment, creates the order, and triggers shipping. On errors in any step, previous steps are compensated.
Data Pipeline Orchestration
An analytics team orchestrates daily data processing: the workflow triggers a Dataflow job, waits for its completion, starts a BigQuery transformation, and sends a completion notification. On errors, automatic retry with backoff occurs.
Approval Workflows
A financial services company implements approval processes: the workflow sends an approval request, waits via a callback for a response, escalates on timeout, and executes approved actions.
Multi-Cloud Integration
A company integrates GCP with existing systems: the workflow calls an external API, processes data in BigQuery, updates a third-party system via HTTP, and stores results in Cloud Storage.
Scheduled Batch Processing
A data team runs nightly batch jobs: Cloud Scheduler triggers a workflow that sequentially executes multiple BigQuery queries, validates results, and sends reports via email.
Benefits
- Serverless and maintenance-free: No infrastructure to manage, automatic scaling on demand.
- Traceable processes: Explicit workflow definitions make complex flows transparent and auditable.
- Broad integration: Native connections to Google Cloud services as well as external APIs via HTTP.
- Long-running processes possible: Suitable for approval workflows and asynchronous processes over extended periods.
- Cost-efficient at low volume: Free monthly quotas for both internal and external steps.
Integration with innFactory
As a certified Google Cloud partner, innFactory supports you in implementing Workflows: from architecture through workflow development to optimization.
Contact us for a consultation.
Available Tiers & Options
Workflows
- Serverless
- No infrastructure
- Native GCP integration
- YAML-based syntax
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is Google Cloud Workflows?
Workflows is a fully managed orchestration service. You define workflows in YAML or JSON that call GCP services, HTTP APIs, and Cloud Functions. The service is serverless and scales automatically.
How does Workflows differ from Cloud Functions?
Cloud Functions executes individual functions. Workflows orchestrates multiple services in a defined order with error handling, retries, and branching. Workflows is the "glue" between your services.
How much does using Workflows cost?
Workflows distinguishes between internal steps (calls to Google Cloud APIs, variable assignments) with a monthly free quota, and external steps (HTTP calls outside Google Cloud, callback waits) with their own, smaller free quota. External steps cost more per 1,000 executions than internal ones. Current prices are available in the official pricing list.
How long can workflows run?
According to current limits, a workflow can run for up to 1 year. This enables long-running processes like approvals, asynchronous processing, or periodic tasks with built-in sleep. Individual HTTP connector calls, however, have a much shorter timeout.
Can I call external APIs from Workflows?
Yes, Workflows can call any HTTP endpoint. You can integrate external APIs, SaaS services, or your own microservices. Authentication is done via service accounts or API keys.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.
