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 frontend application
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
Deploy a simple function as a service
Cloud Functions
Build and host a container
Cloud Build
Cloud Run
Store data
Learn how to store and secure data on Google Cloud.
Store files in a Cloud Storage bucket
Cloud Storage
Create a Cloud SQL for MySQL instance
Cloud SQL
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
Deploy a containerized application
Google Kubernetes Engine
Optimize cloud operations
Learn how to build a continuous integration and continuous delivery (CI/CD) pipeline:
Configure a CI/CD pipeline
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
Configure Virtual Private Cloud
Virtual Private Cloud
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
Collect metrics, events, and metadata from Google Cloud and Amazon Web Services
Cloud Monitoring
Get notified when the performance of a service or app doesn't meet expectations
Cloud Monitoring
Manage billing and administration
Learn how to manage Google Cloud projects and invoices:
Understand Cloud Billing
Cloud Billing
Understand projects
Projects
Analyze data
Learn how to ingest and analyze data on Google Cloud:
Move data to the cloud
Pub/Sub
Deploy a data processing pipeline
Dataflow
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
Build and train a custom model
Vertex AI
Learn how to use command-line tools and extensions with Google Cloud:
Install the command-line tool
gcloud tool
Work with a cloud-based terminal
Cloud Shell
Work with a cloud-based integrated development environment (IDE)
Cloud Shell Editor
Install the IntelliJ extension
Cloud Code
Install the VSCode extension
Cloud Code