Mock sample for your project: GKE Hub API

An implementation of the Grafeas API, which stores, and enables querying and retrieval of critical metadata about all of your software artifacts.

Interacts with Glass users via the timeline.

Accesses report data in Google Analytics.

Manages keys and performs cryptographic operations in a central cloud service, for direct use by other cloud resources and applications.

Manages alerts on issues affecting your domain. Note: The current version of this API (v1beta1) is available to all Google Workspace customers.

Views and manages your Google Analytics data.

Registers and manages IoT (Internet of Things) devices that connect to the Google Cloud Platform.

Use the Migrate to Virtual Machines API to programmatically migrate workloads.

The management interface for Binary Authorization, a service that provides policy-based deployment validation and control for images deployed to Google Kubernetes Engine (GKE), Anthos Service Mesh, Anthos Clusters, and Cloud Run.

The Google My Business API provides an interface for managing business location information on Google.

The Business Profile Performance API allows merchants to fetch performance reports about their business profile on Google.

Enables apps to fetch information and perform actions in Google Chat. Authentication is a prerequisite for using the Google Chat REST API.

Manages continuous profiling information.

Publishes 360 photos to Google Maps, along with position, orientation, and connectivity metadata. Apps can offer an interface for positioning, connecting, and uploading user-generated Street View images.

Google Service Management allows service producers to publish their services on Google Cloud Platform so that they can be discovered and used by service consumers.

Deploy and manage user provided container images that scale automatically based on incoming requests. The Cloud Run Admin API v1 follows the Knative Serving API specification, while v2 is aligned with Google Cloud AIP-based API standards, as described in https://google.aip.dev/.

Note that we now highly recommend new customers to use Retail API, which incorporates the GA version of the Recommendations AI funtionalities. To enable Retail API, please visit https://console.cloud.google.com/apis/library/retail.googleapis.com. The Recommendations AI service enables customers to build end-to-end personalized recommendation systems without requiring a high level of expertise in machine learning, recommendation system, or Google Cloud.

Schedule queries or transfer external data from SaaS applications to Google BigQuery on a regular basis.

Writes log entries and manages your Cloud Logging configuration.

Creates and manages builds on Google Cloud Platform.

Manages identity and access control for Google Cloud Platform resources, including the creation of service accounts, which you can use to authenticate to Google and make API calls.

Builds and manages container-based applications, powered by the open source Kubernetes technology.

Accesses the latest features for managing Authorized Buyers accounts, Real-Time Bidding configurations and auction metrics, and Marketplace programmatic deals.

This API enables connectivity with and between Google Cloud resources.