Common developer use cases | Developer Center

Host static content

Learn how to host a frontend application, a website, or other static content on Google Cloud:

Host media and other static content Cloud storage

Host a static web app on Google Cloud by using Cloud Storage

Host a static website

Host a frontend application Firebase hosting

Get started with Firebase Hosting on the web

Get started with Firebase Hosting

Build applications and services

Learn how to host an application on Google Cloud by using virtual machines and containers:

Create a virtual machine (VM) Compute engine

Compute Engine

Create a Linux VM instance in Compute Engine

Create a client-server application on Compute Engine

Deploy a simple function as a service Cloud run functions

Cloud Run functions quickstart

Create and deploy a Cloud Run function by using the Google Cloud CLI

Create a client-server application on Compute Engine

Build and host a container Cloud build Cloud run

Deploy a container to Cloud Run

Create and deploy a Cloud Run serverless service

Store data

Learn how to store and secure data on Google Cloud.

Store files in a Cloud Storage bucket Cloud storage

Create a bucket with the Cloud Storage browser

Upload to Cloud Storage by using the Google Cloud console

Create a Cloud Storage bucket

Create a Cloud SQL for MySQL instance Cloud sql

Get started with Cloud SQL for MySQL

Create a Cloud SQL for MySQL database

Create a Cloud SQL for MySQL instance

Manage infrastructure

Learn how to manage your apps and services in containers or as a group of virtual machine (VM) instances:

Manage a group of virtual machine (VM) instances Compute engine

Create a managed instance group

Basic scenarios for creating managed instance groups

Create a Compute Engine instance template and managed instance group

Deploy a containerized application Google kubernetes engine

Get started with Kubernetes

Deploy an app to a GKE cluster

Google Kubernetes Engine quickstart

Optimize cloud operations

Learn how to build a continuous integration and continuous delivery (CI/CD) pipeline:

Configure a CI/CD pipeline Cloud build

Build a CI/CD pipeline with Spinnaker

Automate builds by using Cloud Build

Secure resources

Learn how to secure access to Google Cloud resources, applications, and services:

Secure access to services and resources Identity aware proxy

Get Identity-Aware Proxy up and running

Authenticate users with Google Accounts

Secure an app with Identity-Aware Proxy and Identity Platform

Configure Virtual Private Cloud Virtual private cloud

Protect your Google Cloud instances with firewall rules

Create and update firewall rules

Monitor and log

Monitor and log data and events from common Google Cloud application components, on-premises systems, and hybrid cloud systems.

Store, search, analyze, monitor, and alert on logging data and events from Google Cloud and Amazon Web Services Cloud logging

Get started with Cloud Logging

Write and query log entries

Install the Ops Agent

Collect metrics, events, and metadata from Google Cloud and Amazon Web Services Cloud monitoring

Get started with Cloud Monitoring

Get notified when the performance of a service or app doesn't meet expectations Cloud monitoring

Alerting best practices for Cloud Monitoring

Monitor a Compute Engine virtual machine

Manage billing and administration

Learn how to manage Google Cloud projects and invoices:

Understand Cloud Billing Cloud billing

Understanding billing

Understand your monthly invoice

Cloud Billing tour

Understand projects Projects

Get started with Google Cloud

Google Cloud overview

Analyze data

Learn how to ingest and analyze data on Google Cloud:

Move data to the cloud Pub/sub

Simplify event-driven processing with Cloud Pub/Sub

Create a Pub/Sub topic by using the Google Cloud console

Introduction to Pub/Sub

Deploy a data processing pipeline Dataflow

What is Dataflow?

Use Java to define a Dataflow pipeline

Run pipelines with Dataflow and Python

Run Hadoop jobs Dataproc

Run Spark and Hadoop Faster with Cloud Dataproc | Google Cloud Labs

Run a Hadoop wordcount job on a Dataproc cluster

Train ML and AI models

Learn how to build, deploy, and scale machine learning (ML) models with pre-trained and custom tooling:

Use ML prebuilt models Cloud vision api

Image recognition and classification with Cloud Vision

Detect labels in an image

Build and train a custom model Vertex ai

Build a custom ML model with Vertex AI

Create a model by using custom training

Build a custom-trained model

Use CLI tools

Learn how to use command-line tools and extensions with Google Cloud:

Install the command-line tool Gcloud tool

CLI for Google Cloud

Installing the gcloud CLI

Work with a cloud-based terminal Cloud shell

Cloud Shell

Configure Cloud Shell

How to use Cloud Shell

Work with a cloud-based integrated development environment (IDE) Cloud shell editor

Intro to Cloud Shell Editor

Cloud Shell Editor interface overview

How to use Cloud Shell

Install the IntelliJ extension Cloud code

Setting up the Cloud Code plugin

Install the VSCode extension Cloud code

Getting started with Cloud Code

Installing the Cloud Code extension

Installing Cloud Code for your local IDE