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Top AWS Use Cases and Applications

Amazon Web Services(AWS) is one of the biggest cloud infrastructures in the world. Various organizations prefer AWS over other cloud services as it’s cost-efficient and provides better security. AWS provides scalability, efficiency, data analytics, connectivity with different IoT devices, irregular traffic, and much more.

Cloud Computing refers to on-demand computing services like storage, computation, security, database, etc on rent, which can be accessed by the user over a network. It reduces the time and resources required to set up the infrastructure, efforts for planning, buying, and maintaining the server. If you’re new to cloud computing and want to learn about it, you can take the AWS training and certification and learn the core concepts to become an expert in the technology.

Now that you have an understanding of cloud computing, let’s move ahead and learn about AWS in detail.

What is Amazon Web Services(AWS)?

Amazon Web Services or AWS is one of the biggest retail players in the field of cloud computing. The cloud service provides great benefits to organizations through a combination of Software as a Service(SaaS), Platform as a Service(PaaS), and Infrastructure as a Service(IaaS).

Millions of customers including enterprises, startups, government agencies, and universities use cloud services from AWS data centers located around the world. Here, you get on-demand services like storage, computation, networking, database, security, virtualization, data analytics, blockchain, content management, development tools, machine learning, DevOps, migration, big data, monitoring, and more.

Benefits of Amazon Web Services

Amazon Web Services or AWS provides numerous benefits to the organizations availing its services. Some of them are listed below:

  • Pricing

AWS follows the pay-per-use policy that covers all businesses from start-ups to full-fledged enterprises. Amazon uses the elastic model to measure the number of resources used by an organization at any given time. Also, they can pay for the resources based on the time period you hold them for any operation.

For example, if you use any resources for 30 minutes, you’ll be charged for the resources for only 30 minutes. Moreover, you can track the resources and calculate the total expenses in real-time.

  • Scalability

If a business store its data on-premises and the demand increases, it may take a few days or maybe weeks in getting the new servers, setting up infrastructure, licensing, planning the network to meet the rising demand. This is not an efficient way to manage the demand in terms of both time and money. However, Amazon paints a different picture when it comes to scalability. You can set up new virtual machines in a matter of minutes and adjust your servers based on the spike.

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  • API

The API Gateway can be used to create REST APIs, HTTP APIs, WebSockets, and OpenAPI extensions. These allow the organizations to have programmatic control over the resources and applications they’re using from the AWS platform. With APIs, you can manage your resources more efficiently, take data backups, and launch instances or virtual environments on AWS servers.

  • Adaptability

Amazon has an automated scaling and configuration process that allows you to seamlessly migrate or start your infrastructure with proper license and technical support. Its very elastic transforms and handles your applications and data in different volumes. You can also learn how to scale and configure your server with an AWS certification and create new career opportunities.

Learn more about AWS in this video now:

Link: https://www.youtube.com/watch?v=mov-s7G3oWY

AWS Use Cases

Following are the popular use cases of Amazon Web Services(AWS):

  • McDonald’s

McDonald’s, a popular food chain with more than 3700 outlets, serving around 60 million people every day across the globe. For a small store, it’s not difficult to maintain the food quality every day. However, it quickly becomes more complex when you have more than 20,000 ordered every second in the peak hours. With AWS, McDonald’s is able to manage its home delivery platform with high integration and latency of fewer than 100 seconds.

  • Coca-Cola

During the Super Bowl XVII, in the year 2013, Coca-Cola encouraged the audience to vote for their favorite commercial ending. However, due to massive traffic on the website, the on-premise environment got crashed and forced the management to migrate over the public cloud with AWS. Since 2014, AWS is managing Coca-Cola’s operations and reduced their cost by up to 80 percent.

  • Coinbase

Coinbase is a digital wallet and exchange platform used to buy, manage, and trade between different cryptocurrencies. It works on blockchain technology and thus requires a lot of computation power and storage. With AWS, Coinbase is able to create a secure environment and detect frauds with advanced data analytics. It also allows AWS to run additional security models, encrypt users’ private keys, and maintain the ledger.

  • Netflix

Netflix is the biggest streaming platform featuring a wide variety of movies, TV shows, documentaries, and comedy shows watched by millions of millions of users across the globe. With AWS, this leading content producer is able to consistently deliver entertainment, manage security, and scalability, while maintaining speed and quality. Moreover, Netflix can run its recommendation engines and deploy Machine Learning models to provide a better user experience.

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