Google Cloud (GCP) APIs Collection

A Google Cloud (GCP) APIs Collection is a cloud service API service collection of GCP APIs (for Google Cloud).

• Context:
  • It can (typically) cover a wide range of categories such as Computing APIs, Storage APIs, networking, databases, big data, and machine learning.
  • It can (often) require a Google Cloud Platform project to be created, where specific APIs you want to use can be enabled.
  • It can be managed via the Google Cloud console, gcloud command-line tool, or various programming language client libraries.
  • …
• Example(s):
  • Google Cloud APIs, 20xx, launch of App Engine API, launched in 2008
  • Google Cloud APIs, 20xx, launch of Compute Engine API, launched in 2011
  • Google Cloud APIs, 20xx, launch of Cloud Storage API, launched in 2012
  • Google Cloud APIs, 20xx, launch of BigQuery API, also launched in 2012
  • Google Cloud APIs, 20xx, launch of Cloud SQL API and Cloud DNS API, launched in 2013
  • Google Cloud APIs, 20xx, launch of Google Cloud Platform (GCP) Console and GCP API Explorer, launched in 2014
  • Google Cloud APIs, 20xx, launch of Cloud Functions API, launched in 2015
  • Google Cloud APIs, 20xx, launch of Cloud Vision API, also started in 2015
  • Google Cloud APIs, 20xx, launch of In 2016, Google Cloud Client Libraries
  • Google Cloud APIs, 2017, launch of Cloud Natural Language API and Cloud Speech-to-Text API, introduced in 2017
  • Google Cloud APIs, 2018, launch of Google Cloud API Gateway and the Cloud AutoML API
  • Google Cloud APIs, 2019, launch of Cloud AI Platform and the Cloud Run API.
  • Google Cloud APIs, 2020, launch of the Cloud Anthos API and the Cloud Dataproc API.
  • Google Cloud APIs, 2021, launch of the Cloud Spanner API and the Cloud Data Fusion API.
  • Google Cloud APIs, 2022, launch of the Cloud Dataflow API and the Cloud Datastream API.
  • …
• Counter-Example(s):
  • Amazon Web Services (AWS) APIs Collection (of AWS APIs).
  • Microsoft Azure APIs Collection (of Azure APIs).
  • OpenStack APIs Collection (of OpenStack APIs).
  • Cloud Foundry APIs Collection (of Cloud Foundry APIs).
• See: API Form, Google Cloud Form, Cloud Service Provider Form.

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References

2023

• GBard
  • Google Cloud APIs is a composite of over 200 programmatic interfaces (APIs) to Google Cloud Platform services. They allow developers to build applications and automate tasks using the power of Google Cloud. Google Cloud APIs are available in a wide range of categories, including:
    • Computing: APIs for managing virtual machines, containers, and other compute resources.

   Storage: APIs for storing and accessing data in the cloud.
   Networking: APIs for managing networks, firewalls, and other networking resources.
   Databases: APIs for managing relational and NoSQL databases.
   Big data: APIs for processing and analyzing large datasets.
   Machine learning: APIs for building and deploying machine learning models.
   AI Platform: APIs for managing AI Platform resources, such as custom training jobs and prediction services.
   IoT: APIs for connecting and managing IoT devices.
   Identity and access management (IAM): APIs for managing users, roles, and permissions.

• • To use Google Cloud APIs, you need to create a Google Cloud Platform project and enable the APIs that you want to use. You can then access the APIs using the Google Cloud console, the gcloud command-line tool, or client libraries in a variety of programming languages.
  • Here are some examples of how Google Cloud APIs can be used:
    • A developer can use the Compute Engine API to create and manage virtual machines in the cloud.

   A data scientist can use the BigQuery API to analyze large datasets.
   A machine learning engineer can use the AI Platform API to train and deploy machine learning models.
   A DevOps engineer can use the Cloud Deployment Manager API to automate the deployment of applications to the cloud.
   A security engineer can use the IAM API to manage users, roles, and permissions in the cloud.

• • Google Cloud APIs are a collection of over 200 programmatic interfaces that allow developers to build applications that interact with Google Cloud services. These services include Compute Engine, Cloud Storage, BigQuery, Cloud SQL, Cloud DNS, Cloud Functions, Cloud Vision, Cloud Natural Language, Cloud Speech-to-Text, Cloud AutoML, Cloud AI Platform, Cloud Run, Cloud Anthos, Cloud Dataproc, Cloud Spanner, Cloud Data Fusion, Cloud Dataflow, and Cloud Datastream.

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