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.
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Use Cloud Launcher to quickly launch software packages on Compute Engine.
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App Engine: Build and run applications on the App Engine platform.
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Compute Engine: Run virtual machines hosted on Google's infrastructure.
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Kubernetes Engine: Run clusters of Compute Engine instances.
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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).
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Bigtable: Host a fast, fully managed, massively scalable NoSQL database for unstructured or loosely structured data.
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Datastore: Host a NoSQL database for highly structured data.
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SQL: Host a MySQL database that works with tools and applications already built for MySQL.
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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.
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Monitoring: Review performance metrics for cloud services, virtual machines, and common open source servers.
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Debug: Inspect the state of a Java or Go application at any code location without stopping or slowing it down.
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Traces: View the remote procedure calls (RPCs) invoked by your App Engine application. View and analyze the time taken to complete each RPC.
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Logging: View and export logs from App Engine, Compute Engine, and other services, including third-party instances.
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Errors: Aggregates and displays errors produced by applications running on Google Cloud Platform.
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Endpoints: Manage your APIs, control API access, and monitor usage.
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Development: Browse, edit, and troubleshoot source code that you upload to your project's repository.
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Deployment Manager: Deploy software packages that Google Cloud helps you manage.
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Test Lab: Not released yet. An instance device testing closet, with automated reports and scaling support.
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BigQuery: Run super-fast, SQL-like queries against append-only tables.
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Pub/Sub: Google Cloud Pub/Sub provides messaging between applications.
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Dataproc: Use a managed Spark and Hadoop service to take advantage of open-source data tools for batch processing, querying, streaming, and machine learning.
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Cloud Dataflow: Perform data processing tasks of any size.
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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.