Table of Content
- Computing Services
- Storage Service
- Big Data
- Cloud AI
- Management Tools
- Security and Identity
Simply explained, cloud computing is the process of accessing and storing data over the Internet as opposed to on your own hard drive.
In order to give its customers access to quicker, more creative, and more adaptable resources, it offers services including storage, database, networking, and more. Customers can reduce their operational costs and run their business infrastructure more effectively by only paying for the resources they really utilize.
Now, Google Cloud has been the talk of the town among various cloud providers like AWS, Microsoft, VMWare, IBM, etc. in recent years, and there are plenty of reasons why. Let's start with the basics and define Google Cloud. If you are interested in Digital Marketing or Graphic Designing and want to learn these interesting courses then click on the links mentioned Digital Marketing Course and Graphic Designing course
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It has been years since a Google server went down. Therefore, if you intend to run your application on the Google Cloud infrastructure, you can be sure that it will be secure.
One of the leading cloud service providers in the IT sector is Google Cloud. Software developers can use the services they provide because it offers a dependable and highly scalable infrastructure for them to build, test, and deploy their applications.
As was previously noted, Google was named a leader in Gartner's 2018 Infrastructure as a Service Magic Quadrant. Google was one of the top three market leaders when it was compared to other cloud service providers. Google Cloud is the best option for you if you're looking for a cloud platform with a broad range of services and solutions that are well-known around the world.
Best Pricing: Hosting options for Google Cloud are less expensive than those for competing platforms. Customers of Google Cloud have access to a pay-as-you-go service where they only pay for the resources they really use.
Work from Anywhere: Through web-based applications powered by Google, employees have comprehensive access to information across devices from anywhere in the world.
Private Network: To provide each client more flexibility and control over the network, Google offers each client its own network. It spreads its network using fibre-optic connections since it can typically handle any volume of data. This private network allows users to operate as efficiently and quickly as possible.
Security: To assist in securing the data on servers, Google has engaged a sizable group of security experts. The Cloud platform encrypts every piece of data. Users can therefore be confident that their data is protected. Backup Redundancy: Google has its own internal redundant backups. As a result, Google would have a backup of the user-stored data in case it is lost. Your data is still intact in theory. Data integrity, dependability, and durability are improved via redundancy.
Globally, Google Cloud has been growing. The variety of services it provides to its users explains why:
- Google Cloud Compute Services
- Google Cloud Storage Services
- Big Data Services
- Security and Identity Management
- Management Tools
- Cloud AI
Using Google App Engine
To deploy Java, PHP, and other applications, use a platform as a service. It is a cloud computing platform for creating and hosting websites in data centres run by Google. It includes the automatic scaling capability, which means that as an application receives more requests, the App Engine will automatically allocate more resources to the application in order to meet the increased demand.
It is running virtual computers of Microsoft Windows and Linux using infrastructure as a service. It is a part of the Google Cloud platform, which uses the same technical foundation as YouTube, Google's search engine, and other applications.
Engine for Kubernetes:
Its goal is to provide a framework for automating the deployment, scaling, and management of application containers across host clusters. It is compatible with a variety of container tools, including Docker.
Google Cloud Storage: A web service for storing and accessing files online that uses the infrastructure of the Google Cloud platform. The service combines cutting-edge security and sharing features with the performance and scalability of Google Cloud.
Cloud SQL: A web service that enables the development, management, and use of relational databases hosted by Google Cloud. Your databases are maintained, managed, and administered by it, enabling you to concentrate on your applications and services.
Cloud Bigtable: An extremely scalable, fully managed, and quick NoSQL database service. It is made to capture and store data that ranges from one terabyte to several petabytes.
- To provide a safe environment for your deployments, VPC: Virtual Private Cloud offers a private network with IP allocation, routing, and network firewall regulations.
- Load balancing in the cloud: It involves dividing up workloads among various computing resources. As a result, costs are decreased and resource availability is increased.
- A network of proxy servers and their data centres that is geographically dispersed. By spatially distributing the service in relation to end customers, it is intended to offer high availability and high performance.
BigQuery: A fully managed data analysis solution, Google BigQuery Service enables enterprises to examine Big Data. It has highly scalable data storage, ad hoc query functionality, and web-sharing capabilities for data insights.
Google Cloud Datastore: It can automatically scale up and down based on demand and provides atomic transactions in addition to a wide range of query capabilities.
Google Cloud Dataproc: A Spark and Hadoop service that is quick, simple to use, and manage. You may build Spark or Hadoop clusters with Cloud Dataproc that are precisely sized for your workloads whenever you need them.
- Using well-known frameworks, you can create machine learning models using the Cloud Machine Learning Engine, a managed service.
- Using Google's transfer learning and Neural Architecture Search, the Cloud AutoML machine learning offering gives developers access to high-quality trained models for their data sets.
Google Stackdriver: Offers performance and diagnostics data to customers of public clouds through monitoring, logging, tracing, reporting errors, and alerting.
Google Cloud Console App: Customers can administer the main Google Cloud services using a GCP console, which is a native mobile application. It offers resource monitoring, modifying, and action-taking capabilities.
Cloud Data Loss Prevention API: You can manage sensitive data with its aid. For sensitive data elements like credit card numbers, names, passport numbers, and more, it offers a quick and scalable classification.
Cloud IAM: In order to guarantee that the right employees in a company have the right access to technological resources, a framework of policies and technologies are referred to as cloud identity and access management. Another name for it is identity management (IDM).
Cloud IoT Core: You can simply and securely connect to, manage, and ingest data from devices that are connected to the Internet thanks to this completely managed service. It allows for the real-time collection, processing, analysis, and visualization of IoT data using other Google Cloud services.
Cloud IoT Edge: By using edge computing, memory and processing power are brought closer to the point of use.
Let's quickly review some of the advantages and disadvantages of the Google Cloud Platform (GCP).
Advantages of GCP
- When it comes to strengths, the GCP documentation is unmatched. Everyone adores the way Google includes the actions in the docs for GCP. It walks the reader through using the feature or service and is broken up into an overview piece and a hands-on segment.
- For quick, scalable, and reliable performance delivery, the global backbone network of GCP makes use of edge caching services and sophisticated software-defined networking. The ability to construct architectures using a virtual private cloud (VPC) automatically routing traffic on a worldwide network is clearly worth the investment, despite the premium-tier global.
Disadvantages of GCP
- Compared to its top rivals, AWS and Azure, Google Cloud Platform offers significantly fewer services.
- The only people who benefit from GCP's opinionated usage model for their cloud services are software developers.
Currently, Google's global infrastructure has 24 locations throughout the world where its resources are made available.
Availability zones that are separate from a single point of failure exist for various locations within a region. Some resources, like the HTTP global load balancer, are accessible worldwide. This implies that they can accept requests from any region or location along Google Edge.
For redundancy, regional resources like storage are dispersed over different zones within a region. Computing instances and other zonal resources are limited to a single zone inside a single area.
Locations for application deployment on GCP must be chosen based on performance, scalability, security requirements, and reliability.
Now that we are fully aware of the advantages and services offered by Google Cloud, let's have a look at some of its most prominent consumers.
Twitter is a well-known program that users can use to communicate information. The amount of data created is astronomically big due to the daily increase in the number of tweets. For storing and computational needs, use Google Cloud.
20th Century Fox: Google Cloud and 20th Century Fox data scientists have created machine learning software that can evaluate movie trailers and forecast how probable it is that audiences will be to watch certain films in theatres.
PayPal: PayPal and Google Cloud have partnered to improve security, create a speedier network, and create services for its users.
eBay: eBay trains translation models and innovates picture search using Google Cloud. It also enhances consumer experiences in China.
Chevron: Chevron employs Google AutoML Vision to locate information that is frequently difficult to locate when needed.
HSBC: Using Google Cloud, HSBC gives its banks a new level of security, compliance, and governance.
Customers of LG CNS will benefit greatly from the data analytics solution offered by LG CNS in the context of the smart factory thanks to Google AI and Edge TPU.