Search
Clear search
Close search
Google apps
Main menu

Quick product reference

Open the left side menu to find resources for your application. See below for a quick overview of these resources.

For help with billing, project management, and console navigation, see Get started in the console.

APIs & services
  • Enable Google APIs for Cloud, Maps, Mobile, YouTube, Advertising, and other services.

Cloud Launcher
  • Use Cloud Launcher to quickly launch software packages on Compute Engine.

Compute
  • App Engine: Build and run applications on the App Engine platform.

  • Compute Engine: Run virtual machines hosted on Google's infrastructure.

  • Container Engine: Run clusters of Compute Engine instances.

  • Networking: These resources help you manage networks, firewalls, domain names, and other aspects of your networks and instances. This includes Cloud DNS (a high-performance, resilient, global Domain Name System service) and VPN (the Google Compute Engine Virtual Private Network service).

Storage
  • Bigtable: Host a fast, fully managed, massively scalable NoSQL database for unstructured or loosely structured data.

  • Datastore: Host a NoSQL database for highly structured data.

  • SQL: Host a MySQL database that works with tools and applications already built for MySQL.

  • Storage: Store objects or files of any kind and size, up to 5 TB each.

Need help choosing a storage option? Try this table of use cases.

Operations
  • Monitoring: Review performance metrics for cloud services, virtual machines, and common open source servers. 

  • Debug: Inspect the state of a Java or Go application at any code location without stopping or slowing it down.

  • Traces: View the remote procedure calls (RPCs) invoked by your App Engine application. View and analyze the time taken to complete each RPC.

  • Logging: View and export logs from App Engine, Compute Engine, and other services, including third-party instances.

  • Errors: Aggregates and displays errors produced by applications running on Google Cloud Platform.

  • Endpoints: Manage your APIs, control API access, and monitor usage.

Tools
  • Development: Browse, edit, and troubleshoot source code that you upload to your project's repository.

  • Deployment Manager: Deploy software packages that Google Cloud helps you manage.

  • Test Lab: Not released yet. An instance device testing closet, with automated reports and scaling support.

Big Data
  • BigQuery: Run super-fast, SQL-like queries against append-only tables.

  • Pub/Sub: Google Cloud Pub/Sub provides messaging between applications.

  • Dataproc: Use a managed Spark and Hadoop service to take advantage of open-source data tools for batch processing, querying, streaming, and machine learning.

  • Cloud Dataflow: Perform data processing tasks of any size.

  • Genomics: Use the Google Genomics API to store, process, explore, and share DNA sequence reads, reference-based alignments, and variant calls, using Google's cloud infrastructure.

Was this article helpful?
How can we improve it?