What is Google Cloud Platform

what is google cloud platform

Introduction to What is Google Cloud Platform

Google Cloud Platform (GCP) is a collection of cloud computing services, introduced on 7th April 2008 by Google. GCP runs on the same infrastructure of 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.

Why GCP is important?

GCP is regarded as the third biggest Cloud Service Provider (CSP) behind Amazon’s AWS and Microsoft Azure. The major reasons for one to opt GDP over other CSPs are below:

1. Scalability: One of the major drawbacks of cloud computing is downscaling. But GCP provides extreme ease in up and downscaling.

2. 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

Sub-hour Billing: Billing is made only for a particular requested time. For example, if a service is requested for half an hour, unlike other CSPs, GCP doesn’t round it to the next hour. Instead, billing is made only for half an hour. Sustained use Discount: Google gives an increasing discount of 25% if we are using it in sustained use of computing resources, rather than using it for a temporary purpose. 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% cost can be saved by this method. Preemptible Instances: If the system is built with fault tolerance, the software can literally enable other systems, reducing the cost.

3. Integrated Services: You can use various APIs, AI and ML, IoT, Compute engine, Databases, Big Data analytics, Developer tools, Security, Storage simultaneously.

4. Quick Collaboration: GCP allows quick collaboration for all users. Multiple users can access and edit the projects at the same time.

5. Serverless computing: It is a cloud-computing execution model, in which CSP runs the server and dynamically manages resource allocation. So, the pricing will be based on the actual amount of resources consumed by the application, rather than the pre-purchased amount of resources.

Google Cloud Services

GCP provides a wide range of products and services. They provide services from basic Cloud services to complex cloud services like ML, IoT, etc. Let’s discuss one by one in detail.

google cloud platform

Machine learning IoT(Internet of Things) Machine Learning

AI and ML consist of three components.

1. AI Hub It consists of a hosted repository of plug-and-play AI components. It provides enterprise-grade sharing capabilities, that lets an organization privately host AI content among users and developers. It lets you easily deploy unique Google Cloud AI and AI technologies for experimentation and production. 2. AI Building Blocks It consists of components that let developers add sights, language, structured data, and conversation to their applications. Sight Vision AI: It lets you analyze images in the cloud or at the edge. Video AI: It provides precise video analysis– down to the frame. Language Natural Language: It includes multimedia and language processing. Translation: It provides fast, dynamic translation between different languages. Conversation Cloud Speech-to-text API: It provides speech recognition over 120 languages. Cloud Text-to-Speech API: It provides human-like text-to-speech interactions. Structured Data AutoML Tables: Lets you easily build state-of-the-art ML models on structured data. BigQuery ML: Lets you build and operationalize custom ML models, using familiar SQL language. Cloud AutoML It is a set of ML products that enables developers with limited ML knowledge to train high-quality models using Google’s Neural Architecture Search technology. 3. AI Platform

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

Internet of Things (IoT)

It offers all the device management and connects services.

Cloud IoT Core lets you have a secure device connection and management. Edge TPU (beta)  is a purpose-built ASIC designed to run inference at the edge. Compute Services

GCP provides a wide range of computing services such as:

Google Compute Engine provides High-Performance and Highly Scalable VMs running in Google’s innovative data centers and worldwide fiber network, which boots quickly and comes with high-performance persistent and local disk options. Google App Engine serves as a platform used for building scalable web applications and IoT back ends. Google Kubernetes Engine is a powerful cluster manager and proportionate system for running your Docker containers. Google Cloud Container Registry is a private Docker repository that works with popular continuous delivery systems. Cloud Functions lets you construct applications of fully serverless models. Big Data Services BigQuery is a fully managed, low cost, a serverless data warehouse that scales with your storage and computing power needs. Cloud Dataflow is a fully managed service for transforming and enriching data. Cloud Dataproc is a fast, fully managed Apache Spark and Hadoop service in a simpler and more cost-efficient way. Cloud Pub/Sub is a serverless, large-scale, reliable, real-time messaging service that lets you communicate between independent applications. Cloud Datalab is an interactive notebook based on Jupyter, created to explore, analyze, transform, and visualize data and build machine-learning models. Networking Services

Networking is one of the most important as well as one of the basics of Google Cloud Platform Services offered by state-of-the-art Networking Services.

Virtual Private Cloud (VPC) lets you connect and manage various GCP resources using the Google global network and isolate them from one another by using their VPC. Google Cloud Load Balancing lets you scale your applications quickly on Compute Engine according to your needs. Cloud Content Delivery Network (CDN) accelerates content delivery for websites and applications using Google’s globally distributed edge caches. Cloud Domain Naming System (DNS) is a scalable, reliable, programmable, and managed authoritative DNS service running on the same infrastructure as Google. It is a cost-effective way to make your application and services available to your users. Cloud Network Address Translation (NAT) enables you to provision application instances without public IP addresses while also allowing access to the internet in a controlled and efficient manner. Storage and Database Services Cloud Storage is a secure and highly available object storage system at low costs. Persistent Disk is a high-performance block storage system, suitable for VMs and Containers. It offers an unmatched price to performance ratio. Cloud SQL is a fully-managed database service that easily lets you set up, maintain, manage and administer relational MySQL and PostgreSQL databases in the cloud. Cloud Bigtable is a scalable NoSQL database service suitable for low-latency, high reliability, and high-throughput workloads. Cloud Memorystore is a fully-managed in-memory data store service for Redis built on scalable, more secure, and highly available infrastructure. Cloud Datastore gives you an elastic, highly available document-oriented databases a service. Security and Identity Services

It is one of the most important Google Cloud Services, in which your data is highly secured and is encrypted.

Google Cloud Identity & Access Management (IAM) lets administrators decide who can access and manage certain resources, giving you full control and visibility to manage cloud resources centrally. Cloud Security Scanner is a web security automatic scanner for common vulnerabilities in App Engine applications. Binary Authorization deploys only trusted containers on Kubernetes Engine. Resource Manager manages resources on GCP in a hierarchical manner. Management and Developer tools

It is used to monitor the services, find errors, debug, and trace the services.

Stackdriver offers real-time monitoring, troubleshooting, and logging across GCP, including various diagnostic tools. Cloud Deployment Manager allows you to specify all the resources needed for your application. Stackdriver Debugger is a feature of GCP that gives detailed performance insights and analytics. Cloud Platform Marketplace offers ready-to-go solutions that launch quickly to GCP and other environments with Anthos. Benefits of Google Cloud Platform High Productivity is gained through Quick Access to Innovation, by delivering updates efficiently and quick functionality delivery. Less Disruption when users adopt new functionality by delivering manageable improvements in a continuous stream. Quick Collaboration: GCP allows quick collaboration for all users. Multiple users can access and edit the projects at the same time. Best Pricing Plans are available for stable customers. Live Migration benefits which allow users to migrate their machines. Private networks, maximum time and efficiency are available to customers due to private networks. The redundant backup facility is available for unused data. Employees can work from anywhere, with full access to information across devices at the same time as data is stored in the cloud. Customers are protected by Google’s Investments in Security and are benefited by the process-based and physical security investments made by Google. Availability of full control and flexibility over technologies and data for users. Conclusion

When you combine services to get work done, you’ve built a solution. The possibilities for solutions on the Cloud Platform are endless. You can look for ideas and guidance in Google’s library of solutions. So far we had a detailed walkthrough over GCP and all its major products and services.

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This is a guide to What is Google Cloud Platforms. Here we have discussed the Important of Google Cloud platforms, AI And Machine Learning with services and 10 benefits. You can also go through our other related articles to learn more-

Types of Cloud Computing Data Science Platform Benefits of Cloud Computing  What Is Cloud Computing?

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