Overview of Google Cloud Platform(GCP)

Overview of Google Cloud Platform(GCP)
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Written by Sagar RabidasDecember 10, 2021
7 min read
Google Cloud Platform (GCP)
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Techiio-author
Sagar Rabidas

Software Developer

In this blog, we will discuss the Google Cloud Platform(GCP).

Google Cloud Platform(GCP):-

Google Cloud Platform (GCP) is a collection of cloud computing services, introduced on 7th April 2008 by Google. GCP runs on the same infrastructure as Google’s products, such as Google search engine, YouTube, etc. GCP provides various tools and services which help in managing infrastructures, provisioning servers, and configuring networks. Along with this, GCP provides a wide range of modular cloud services, including computing, application development, machine learning, data analytics, and data storage. GCP can be accessed by developers, cloud administrators, and other IT professionals through public or dedicated networks.

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GCP Important:-

  • Scalability: One of the major drawbacks of cloud computing is downscaling. But GCP provides extreme ease in up and downscaling.
  • Pricing: Google offers GCP services at the very best price in the cloud market, compared to its competitors. Google offers 4 major key factors in its pricing philosophy
  1. Sub-hour Billing: Billing is made only for a particular requested time. For example, GCP doesn’t round it to the next hour if service is requested for half an hour, unlike other CSPs. Instead, billing is made only for half an hour.
  2. Sustained use Discount: Google gives an increasing discount of 25% if we use it in sustained use of computing resources, rather than using it for a temporary purpose.
  3. Custom Machine Type: GCP lets you dial in the exact amount of CPU power and memory needed for your application and get billed accordingly. Up to 15% of the cost can be saved by this method.
  4. Preemptible Instances: If the system is built with fault tolerance, it can enable other systems, reducing the cost.
  • Integrated Services: You can use various APIs, AI and ML, IoT, Compute engine, Databases, Big Data analytics, Developer tools, Security, Storage simultaneously.
  • Quick Collaboration: GCP allows quick collaboration for all users. Multiple users can access and edit the projects at the same time.

Machine Learning

AI and ML consist of three components.

  • AI Hub
  1. It consists of a hosted repository of plug-and-play AI components.
  2. It provides enterprise-grade sharing capabilities that let an organization privately host AI content among users and developers.
  3. It lets you easily deploy unique Google Cloud AI and AI technologies for experimentation and production.
  • AI Building Blocks

It consists of components that let developers add sights, language, structured data, and conversation to their applications.

  • Sight
  1. Vision AI: It lets you analyze images in the cloud or at the edge.
  2. Video AI: It provides precise video analysis– down to the frame.
  • Language
  1. Natural Language: It includes multimedia and language processing.
  2. Translation: It provides fast, dynamic translation between different languages.
  • Conversation
  1. Cloud Speech-to-text API: It provides speech recognition in over 120 languages.
  2. Cloud Text-to-Speech API: It provides human-like text-to-speech interactions.
  • Structured Data
  1. AutoML Tables: This Lets you easily build state-of-the-art ML models on structured data.
  2. BigQuery ML: This lets you build and operationalize custom ML models using familiar SQL language.
  • Cloud AutoML

A set of ML products enables developers with limited ML knowledge to train high-quality models using Google’s Neural Architecture Search technology.

  • AI Platform

Code-based data science development environment that lets developers quickly take projects from ideation to deployment.

Benefits of Google Cloud Platform

  1. High Productivity is gained through Quick Access to Innovation by delivering updates efficiently and quick functionality delivery.
  2. Less Disruption when users adopt new functionality by delivering manageable improvements in a continuous stream.
  3. Quick Collaboration: GCP allows quick collaboration for all users. Multiple users can access and edit the projects at the same time.
  4. Best Pricing Plans are available for stable customers.
  5. Live Migration benefits allow users to migrate their machines.
  6. Private networks, maximum time and efficiency are available to customers due to private networks.
  7. The redundant backup facility is available for unused data.
  8. Employees can work from anywhere, with full access to information across devices simultaneously as data is stored in the cloud.
  9. Customers are protected by Google’s Investments in Security and are benefited from Google’s process-based and physical security investments.
  10. Availability of full control and flexibility over technologies and data for users.

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Sagar Rabidas
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