Comparing design of various cloud computing platforms

 


The market for cloud services and platforms is quickly expanding. Big data analytics, the Internet of Things, artificial intelligence, and even web and mobile app hosting all require a lot of computational power. Enterprises can use cloud computing and cloud platforms instead of constructing their own infrastructure. Anyone with access to the internet can take advantage of scalable computing capacity on a plug-and-play basis using Cloud computing. It has become a very popular solution because it relieves businesses of the need to invest in and maintain costly infrastructure. Many businesses provide cloud platforms for application development, management, and deployment. We shall compare the designs of various cloud computing systems in this article.

1. Amazon Web Services:

Amazon Web Services (AWS) is an Amazon subsidiary (a leading company in eCommerce). Amazon Web Services (AWS) delivers on-demand cloud computing platforms such as storage, data analysis, and other services. Amazon lends its services to individuals, businesses, and governments, with a 35 percent market share. Amazon Web Services members can use a full-featured virtual cluster of computers at any moment, depending on their needs. The entire service is made possible by the internet

Amazon is regarded as the most powerful and adaptable cloud service provider among all cloud service providers. AWS' virtual cloud platform includes hardware (CPU(s) and GPU(s) for processing, hard-disk/SSD for storage, and local/RAM for memory); an operating system to pick from; and pre-loaded software such as web servers, databases, and CRM. Indeed, you can now receive several AWS Certifications from Amazon to demonstrate your accomplishments and continue learning until you grasp this cloud service.

2. Google Cloud Platform:

Google Cloud Platform is a relative newbie when it comes to IaaS providers. It works with numerous Linux generations as well as Windows server versions up to 2016. As of 2018, it has grown to 21 regions, each of which is separated into at least three zones. This limits its reach compared to the other two providers, but Google is working to compensate in other ways.

For starters, GCP is a pioneer in the deployment of underwater servers, with a unique cable infrastructure that connects servers in Australia, the South Pacific, Asia, Japan, and the United States mainland. There is no current credible census of data centres since they are being built at such a rapid pace.

All of the functionality is operable through a new console that was designed with ease of use in mind, and it’s simple to set up and configure. Services include: 

Data management and storage

 ➢ App development 

➢ SMB business analytics and AI 

➢ Productivity and workload management tools

3. Microsoft Azure:

Microsoft Azure (previously Windows Azure) is the company's cloud computing platform. This service, which is primarily available through Microsoft-managed data centres, has proven to be a trustworthy solution, particularly for Microsoft evangelists. It facilitates the creation, testing, deployment, and administration of applications and services, much like the other solutions. It supports PHP, ASP.net, and Node.js for web development.

Storage Comparison of AWS vs Azure vs Google


Through its Storage Gateway, AWS attempts to provide a hybrid platform in this area. In conjunction with Amazon's single backup feature, Glacier, Gateway provides a supplementary archival storage option. Users can use S3 for simple object storage or their elastic block functionality, which works in conjunction with E2B, for block storage for huge containers. Furthermore, as you create files, the elastic file storage grows your capabilities, which is great for huge organisations that generate a lot of data. 
Azure Storage Services


Through its Storage Gateway, AWS attempts to provide a hybrid platform in this area. In conjunction with Amazon's single backup feature, Glacier, Gateway provides a supplementary archival storage option. Users can use S3 for simple object storage or their elastic block functionality, which works in conjunction with E2B, for block storage for huge containers. Furthermore, as you create files, the elastic file storage grows your capabilities, which is great for huge organisations that generate a lot of data. 

The SQL support provided by Azure isn't limited to storage. Their Server Stretch database is a hybrid that provides on-premises and off-premises storage for businesses that use Microsoft SQL Server but may use other cloud protocols. In addition to their archival and normal system backups, this is the only company of the three that includes a backup recovery system.

Google Storage Services


Google Cloud Platform only provides basic storage and database support. They offer storage solutions that are similar to what GCP offers in the compute department, and they support both SQL and NoSQL databases. They do have a transfer appliance that works similarly to AWS Snowball, as well as a number of internet transfer options.
Key Tool Comparison of AWS vs Azure vs Google  






It's not surprising that the company that brought Alexa to millions of households (for better or worse) is also leading the charge to introduce AI and IoT to businesses through a dozen machine learning and eight IoT services. You may use SageMaker for staff training and machine learning deployment with their three primary products, and you can use the same technology that drives Alexa with their Lex interface
 

Microsoft has fewer AI-enhanced tools than AWS, but those that it does have are tailored to do very particular tasks within your company. Their Cognitive Services are a set of APIbased solutions that interface with Microsoft software and business apps on-premises.


When it comes to designing corporate solutions, the reigning champion of algorithms and SEO has a strong AL/ML game. Their cloud-based enterprise features range from natural language, translation, and speech to machine learning app creation, making them excellent for transitioning into global enterprise coordination. 
This is possible thanks to TensorFlow, a huge open-source library that has already been embraced by AWS. Despite the fact that their only IoT and serverless platforms are currently in beta, GCP's AI implementation looks promise in the future.
Google vs Azure vs AWS Pricing Comparison
Pricing for each of these companies is difficult to compare, although there are some parallels and differences. All three provide a limited-featured free tier, and they all charge on-demand for the resources you consume. Let's get into the details a little more
AWS Pricing

Although the site does give its users with a cost calculator, there isn't a lot of transparency here. We recommend using a third-party management programme to help you navigate through your options and keep costs under control because the price structure is so complicated. As part of their free tier, they provide 750 hours of EC2 service per month for up to 12 months.

Azure Pricing

This is yet another place where you will benefit from expert advice. The pricing options are mostly situational in order to respond to each customer's specific demands. Azure, like AWS, offers 750 hours per year of the Windows or Linux B1S addition to their principal compute platform, Virtual Machines (it's free to trial, which is great for any firm looking to test the cloud waters).

Google Pricing

Google seeks to differentiate itself from the competition by making its pricing structure less opaque and more customer-friendly. They attempt to undercut most cloud service providers' advertised costs by offering large discounts and other incentives in order to acquire business. One F1-micro instance each month for up to a year is included in Google's free tier incentive. This is the platform for you if you're searching for a simple to use, low-cost service with a lot of room for expansion.

Which Cloud Provider is the Most Appropriate for My Company?

AWS is Fit for 

➢ You'd like to expand your global reach.

 ➢ You want a cloud platform with a proven track record of providing steady, dependable service.

 ➢ You require more versatility and a broader choice of services.

 ➢ You're a bigger corporation.

 Azure is Fit for

 ➢ You're making your first move to the cloud.

 ➢ The majority of your company software and platforms run on Windows. 

➢ You're looking for a solution that combines the best of both worlds. 

➢ You're a programmer, right?

Google Cloud is good for:

➢ You're seeking for a container-based model with a lot of features.

➢ Your business is well on its way to digital transformation and wants to become leaner and more cost-effective.

 ➢ You develop and deploy cloud-based software and apps

 ➢ You’re looking for a green tech solution

Final Thoughts

With a market share of 62 percent, AWS is the clear winner (for now). This is related to the number of features available and the length of time the product has been on the market. However, this does not always imply what is best for your business. With this head-to-head comparison, we hope to assist business owners like you in making well-informed decisions. If you use Microsoft products for the majority of your business activities, Azure might be a better fit. Google Cloud Platform may be preferable for businesses that require less reach but greater creativity.

In the end, the decision is yours to make. Make an informed decision.

References : -   [1] https://www.geeksforgeeks.org/cloud-management-in-cloud-computing/

                          [2]https://www.newgenapps.com/blogs/top-5-cloud-platforms-and-                                             solutions-to-choose-from/

Authors - 1. Adarsh Dalvi 

              2. Rajesh Adam 

              3. Akash Patil 

             4. Pranav Chaudhari











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