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Serverless Orchestration with Workflows

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Serverless Orchestration with Workflows

1시간 크레딧 1개

GSP853

Google Cloud Self-Paced Labs

Overview

Workflows is used to create serverless workflows that link a series of serverless tasks together in an order you define. You can combine the power of Google Cloud's APIs, serverless products like Cloud Functions and Cloud Run, and calls to external APIs to create flexible serverless applications.

A workflow is made up of a series of steps described using the Workflows YAML-based syntax. This is the workflow's definition. For a detailed explanation of the Workflows YAML syntax, see the Syntax reference page.

When a workflow is created, it is deployed, which makes the workflow ready for execution. An execution is a single run of the logic contained in a workflow's definition. All workflow executions are independent and the product supports a high number of concurrent executions.

Workflows requires no infrastructure management and scales seamlessly with demand, including scaling down to zero. With its pay-per-use pricing model, you only pay for execution time.

In this lab you will connect Cloud Functions and Cloud Run services with Workflows and connect two public Cloud Functions services, one private Cloud Run service, and an external public HTTP API into a workflow.

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What you'll learn

  • Basics of Workflows.

  • How to connect public Cloud Functions with Workflows.

  • How to connect private Cloud Run services with Workflows.

  • How to connect external HTTP APIs with Workflows.

Prerequisites

Based on the content, it is recommended to have some familiarity with:

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