|
Google Cloud Platform is recognized as a leading IT cloud service provider. GCD features and Services are easily accessible and used by users and software developers with limited technical knowledge. Google is at the top of its competitors, providing the most reliable and scalable platform to build, test and deploy apps in a real-time environment. Google Cloud Platform has been compared to other cloud providers by Gartner, and GCP has been selected as one of the top three providers on the market. This tutorial will help you know more about Google Cloud, its features, benefits, and services. So, let's get started.
Cloud computing refers to the services provided by remote servers on the internet. These services, which use a pay-as-you-go pricing model, may comprise database storage, compute power, applications, and other IT resources. Rather than keeping data on a local server or their devices, users can save, change, or process it on the internet or a cloud-based platform with the help of these remote servers.
The quick performance, greater manageability, and low maintenance requirements of cloud computing are driving its evolution. It aids businesses in reducing their use of resources and total infrastructure expenditures. It also enables IT teams to better concentrate on the crucial applications, services, and procedures while achieving the objectives of the business.
These services offered by cloud computing can be broken down into three types: platform as a service (PaaS), infrastructure as a service (IaaS) and software as a service (SaaS). Although there are various cloud computing providers like Amazon Web Services, Microsoft Azure, Oracle Cloud, Digital Ocean, IBM cloud, etc., Google cloud has its own speciality.
Google Cloud Platform is a collection of cloud services from Google. This is a cloud-based public computing platform comprising a variety of services such as storage, compute, application development, networking, big data, and so on that operate on the same cloud infrastructure which Google uses internally for their end-user products like Google Search, Pictures, Gmail & YouTube, etc. Google Cloud Platform (GCP) services are accessible by software developers, cloud admins, and IT professionals on the Internet or by a dedicated network connection.
Want to get certified in GCP. Learn from our experts and do excel in your career with HKR'S Google Cloud Training
Data centers are used by the companies considering the availability of hardware certainty, cost forecasting, and advanced control. But they do not have the required features to execute and maintain resources within the data centers. On the other hand, GCP is a complete cloud platform which consists of:
As a result, Google Cloud Platform is a suitable option for companies, especially when companies need a complete catalog of services with worldwide recognition.
Google Cloud Platform is widely recognised as one of the top cloud providers in the IT industry. Software developers as well as users without any kind of technical experience can access and use the services and functionalities easily. When it comes to providing the most reliable and highly scalable platform for creating, testing, and deploying applications in a real-time environment, Google has consistently outperformed its competitors.
In addition, GCP was recognised as the best cloud platform in 2018 by Gartner's IaaS Magic Quadrant. Google Cloud Platform (GCP) was chosen as one of the top three cloud service providers in a Gartner campaign that compared it to other cloud providers.
Due to the availability of cost forecasting, hardware certainty, and advanced control, data centers are used by the majority of companies. They lack the capabilities needed to operate and manage the data center's resources, though. On the other hand, GCP is a fully functional cloud platform with security, network infrastructure, bandwidth, support, facilities, etc.
As a result, Google Cloud Platform is a good choice for companies, particularly when those companies need a broad range of services that are well-known around the world.
Want to get certified in GCP. Learn from our experts and do excel in your career with HKR'S Google Analytics Training
Following are some of the benefits of the Google Cloud Platform:
Some of the most important features of the Google Cloud Platform include:
Top 30 frequently asked Google Cloud Interview Questions !
Google offers a number of services with many unique features. That's why Google Cloud Platform is constantly growing around the world. Following are some of the services offered by GCP:
The GCP is made up of the following security and identity management services:
Cloud Data Loss Prevention API: Its main purpose is to manage sensitive data. It provides users with the management of sensitive data elements such as debit card details, credit card details, passport numbers, etc. It provides a quick and extensible classification of sensitive data.
Cloud IAM: This refers to Cloud Identity and Access Management. This is a framework which includes rules and policies that validates user authentication for access to technology resources. Therefore, it is also referred to as Identity Management.
Big Query: It's a data analytics service that's completely managed by Google. The main goal of Google's BigQuery service is to help organizations analyze big data. It provides the option of highly scalable data management. It means that BigQuery enables users to run ad-hoc queries and share data information on the Web.
Google Cloud Datastore: It is a kind of datastore service that is completely managed, with no schema, and not relational. It allows companies to carry out automated transactions and numerous Queries. The primary benefit of Google Cloud Datastore is its capability to scale automatically. It means that the service itself may increase and decrease based on resource requirements.
Google Cloud Dataproc: It's a quick and user-friendly Big Data service provided by Google. It is mainly involved in the management of Spark and Hadoop services for the processing of distributed data. The service enables users to create Spark or Hadoop clusters based on global workload and accessible when users want.
In terms of cloud artificial intelligence, GCP provides the following services:
Cloud Machine Learning Engine: It is a completely managed service where users can create machine learning models. It is primarily used for Machine Learning models that depend on the mainstream frameworks.
Cloud AutoML: This service depends on machine learning. It assists users in entering their datasets and accessing pre-designed and quality ML models. It assists users in entering their datasets and accessing pre-designed and quality ML templates. The service runs according to the transfer learning and neural architecture search method of Google.
Following are the network services offered by GCP:
Virtual Private Network: Its main function is to provide a private network with IP allocation, routing, and network firewall policies. It will assist in creating a secure environment for deploying applications.
Cloud Load Balancing: It is used to divide the workload between different computing resources for balancing the overall performance of the system. It reduces costs as well. It also helps to minimize availability and maximize resource capacity.
Content Delivery Network: It is a network of proxy servers and their respective data centers, which are geographically distributed. The main objective of using the CDN is to maximize user performance. In addition, it provides high resource availability by also distributing associated services to end-users.
Storage services provided by GCP include:
Google Cloud Storage: It is a data storage web service online for storing and accessing data from everywhere. The service offers a number of features such as maximum scalability, security, performance, and sharing.
Cloud SQL: Using this web service, users can create, manage and use the relational databases that are stored on the Google Cloud servers. This service protects and maintains databases, helping users to concentrate on their operations and applications.
Cloud Bigtable: This service is known for its highly manageable and quick performance. It is very scalable—a NoSQL database service which collects and stores data from just 1 TB to hundreds of PBs.
GCP provides a scalable suite of computing services like:
Google App Engine: This is a cloud computing platform which will follow the Platform-as-a-Service concept for the deployment of Java, PHP, and other software. It is used for the development and deployment of online software in data centers managed by Google. The biggest benefit of Google App Engine is its auto-scaling capability. This indicates that the App Engine will automatically allocate more resources to the app when requests increase.
Compute Engine: This cloud computing platform follows the Infrastructure-as-a-Service concept for running virtual machines based on Windows and Linux. This is an important component of GCP. It was designed based on the same infrastructure as that of YouTube, Google search engine, and other services of Google.
Kubernetes Engines: It is responsible for providing a platform for automatic scaling, deployment, and other application container operations on host clusters. The engine supports more than one container tool such as a docker, etc.
Following are the IoT services provided by GCD:
Cloud IoT Core: This is a fully managed essential service. It enables the users to control, connect, and ingest data from different devices which are connected to the Internet securely. This enables Google's other cloud services to collect, process, analyze, and view real-time IoT data.
Cloud IoT Edge: Edge computing service provides memory and other computing power resources close to where it is needed.
The GCP is comprised of the following management tool services:
Google Stackdriver: This service is mainly responsible for showing overall performance and diagnostic information. It includes information on data monitoring, logging, tracing, error reporting, and so on.
Google cloud console app: It is a native mobile app powered by Google. Its main objective is to allow users to manage the basic functions of Google Cloud services from their mobile devices directly at any time and in any place. The main functions are to alert, monitor, and carry out critical actions on the resources.
Learn from our experts and do excel in your career with HKR'S Nutanix Enterprise Cloud Patform Training
Google Cloud Free Tier offers you free resources to understand about Google Cloud Platform services by checking it yourself. You may be a novice to this platform and have no knowledge or want to try a new solution or an existing user, in any of these cases GCP Free Tier is appropriate for you.
Google Cloud offers you 12 months worth $300 for free as a trial. Besides this it also offers unlimited free trial option.
Each GCP Service utilizes basic cloud computing resources like data storage, processor power, connectivity and memory. The customers will be generally charged for the resources as per their consumption of the service. Therefore whatever the service you opt from Google cloud Platform, you will be charged as per your usage.
For an automated workload deployment mechanism of Google Cloud Platform, there is a different pricing model called Cloud Run.
First we need to create a Google Cloud Platform account in order to use the platform. Google Cloud offers $300 worth credit to use within the next 90 days of the free account creation. With this free GVP account we can use all the core services for the next 90 days.
However you need a credit card to create the account. This is only to ensure that a genuine person is using the account. GCD will not be charged automatically after the 90 days free trial period. The amount will be debited only when we manually upgrade the free account. Now let's check how to create a free tier account on Google Cloud Platform.
Step 1: To begin with, we must click the link:https://cloud.google.com/gcp/
Step 2: We must select "Get started for free" as indicated below.
Step 3: We must then sign into our Google Account next. If we do not have a Google account, then we may create one by clicking the 'create an account' button.
Step 4: After logging in, we would see the following screen:
At this point, we have to choose the country, accept the Terms of Service, and then click the "CONTINUE" button.
Step 5: Then you need to enter the details like name, address and payment details like mode of payment and credit card details. After entering these details you need to click on the “START MY FREE TRIAL” button that will be displayed at the page bottom.
Step 6: Confirmation for using the card will be asked by Google and to ensure that the card is correct, a small amount will be deducted from the card and this amount be refunded quickly. Then you need to click on the button “CONTINUE”.
Step 7: Then you need to click on the “GO TO CONSOLE” button.
Step 8: After that you will be redirected to the dashboard that consists of GCP Services summary as well as the projects and the other insights
In a GCP Dashboard, all the following details will be displayed:
We have created the Google Cloud Platform free tier account just before. Now let us create a VM instance in step by step:
Step 1: Login to your GCP account and click on this link: https://cloud.google.com/. Open the shown page and Click on the “GO TO CONSOLE” button.
Step 2: You would be navigated to the page shown below. On the top of the page you could find a dropdown menu in which Project is selected by default. You can click on that to explore other options.
Step 3: The webpage that is visible will enable you to choose the existing project, add a new project by clicking on the plus symbol. If you are adding a new project for the first time you need to set a billing option.
Step 4: Then on the top left corner, choose the drop down menu and select the option “Compute Engine”
Step 5: In this step you will create an instance by clicking on the option “create instance”.
Step 6: Then enter the details. You can personalize this instance as per your requirements. The price for the instance will be based on the memory we use and the location.
Step 7: Then click on the button “Create” after entering the details.
Step 8: Now you could see the instance ready for you.
Pros:
Cons:
In this tutorial, we have learned about the Google Cloud platform, Why to use the Google cloud platform, the benefits and features of the Google cloud platform, and the Services offered by Google Cloud Platform. We hope you found this information helpful.
Related blog:
Batch starts on 2nd Jun 2023, Fast Track batch
Batch starts on 6th Jun 2023, Weekday batch
Batch starts on 10th Jun 2023, Weekend batch
©2023 HKR Trainings. All rights Reserved.
On Our Website all Courses, Technologies, logos, and certification titles we use are their respective owners' property, Trademarks & their intellectual Property belong to them. All the firm, service, or product names on our website are solely for identification purposes. We do not own, endorse or have the copyright of any brand/logo/name in any manner. Few graphics on our website are freely available on public domains. we use all these just for the purpose of training only.
