Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning Registration requires a credit card or bank account details. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. Google Cloud Platform is a part of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as G Suite, enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
What can We Do With Google Cloud ?
- AI Platform Notebooks
AI Platform Notebooks is a managed service that offers an integrated JupyterLab environment in which machine learning developers and data scientists can create instances running JupyterLab that come pre- installed with the latest data science and machine learning frameworks in a single click.
- AI Platform Training and Prediction
AI Platform Training and Prediction is a managed service that enables you to easily build machine learning models with the powerful TensorFlow framework. It provides scalable training and prediction services that work on large scale datasets.
Anthos is a solution designed for building and managing modern applications running across hybrid cloud environments.
- App Engine
App Engine enables you to build and host applications on the same systems that power Google applications. App Engine offers fast development and deployment; simple administration, with no need to worry about hardware, patches or backups; and effortless scalability.
BigQuery is a fully managed data analysis service that enables businesses to analyze Big Data. It features highly scalable data storage that accommodates up to hundreds of terabytes, the ability to perform ad hoc queries on multi-terabyte datasets, and the ability to share data insights via the web.
- Cloud Bigtable
Cloud Bigtable is a fast, fully managed, highly-scalable NoSQL database service. It is designed for the collection and retention of data from 1TB to hundreds of PB.
- Cloud Build
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. Cloud Build can import source code from Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket; execute a build to your specifications; and produce artifacts such as Docker containers or Java archives.
- Cloud Data Fusion
Cloud Data Fusion is a fully managed, cloud native, enterprise data integration service for quickly building and managing data pipelines. Cloud Data Fusion provides a graphical interface to help increase time efficiency and reduce complexity and allows business users, developers, and data scientists to easily and reliably build scalable data integration solutions to cleanse, prepare, blend, transfer, and transform data without having to wrestle with infrastructure.
- Cloud Data Loss Prevention
Cloud Data Loss Prevention helps you understand and manage sensitive data. It provides fast, scalable classification and optional redaction for sensitive data elements like credit card numbers, names, social security numbers, passport numbers, US and selected international driver’s license numbers, phone numbers, and more.
- Cloud Endpoints
Cloud Endpoints is a tool that helps you to develop, deploy, secure and monitor your APIs running on Google Cloud Platform.
Use Cases for Google Cloud
- Serverless application backends
Trigger your code from GCP services or call it directly from any web, mobile, or backend application.
- Real-time data processing systems
Run your code in response to changes in data.
- Intelligent applications
Easily inject artificial intelligence into your applications.