AWS offers 25GB of storage, 1 million requests sent through AWS Lambda and 1 million publishes for free to all users.

As standard, AWS manages everything up to the hypervisor, so organizations can rely on AWS for the infrastructure management.

Data is encrypted and shared among well protected data centers, ensuring some of the highest levels of security available.

The size of AWS data centers means there is no upper limit to the amount of cloud capacity available. Ongoing growth of AWS means it is unlikely that any organization will ever come close to the maximum capacity.

The distribution of data centers for AWS means organizations and end-users receive microsecond latency from anywhere in the world. AWS also ensures data is stored as close to the end-user base as possible.

AWS offers a wide ecosystem, consisting of over 200 features that can be employed by any organization. All of these features are additionally supported by the AWS support staff.

Security can be restrictive for organizations as limits are put in on the amount of users, developer access and data access. The limits can’t be changed or removed by standard organizations.

The pay as you go model can be very unpredictable at times for organizations, occasionally leading to surprising bills. This is often exacerbated by the serverless offerings of AWS.

Despite the global availability of AWS, certain features are not universally available and rollouts often happen at different times, often leading to difficulties in synchronization.

Although AWS offers a large amount of support for all users, including developers, organizations and end users, this comes with a costly subscription fee.

Chris Pinkham and Benjamin Black proposed a change to the internal infrastructure of Amazon. As this infrastructure already outstripped the competitors, they proposed Amazon could sell the infrastructure as a service, then officially launching Amazon Web Services with Simple Storage Service (S3) and Elastic Compute Cloud (EC2) as the main features.

One year after release, AWS had already gained 180,000 developers Amazon officially migrated all data over to AWS servers. AWS then launched a comprehensive training and certification programme for engineers, aimed to increase popularity for the service and act as a recruitment drive for AWS itself. The success of this programme lead to massive growth for AWS.

AWS committed to achieve 100% renewable energy. The target for this was set as 2030, however this will likely be achieved by 2025. Revenue for AWS reached $6 billion per year, growing by 90% per year. AWS launched the Machine Learning Speciality Certifications, focussed on training engineers in machine learning and artificial intelligence.

Netflix: When expanding into multiple countries, Netflix required a cloud provider that could match their rapid growth while providing minimal latency and a seamless user experience. The range of geographical locations for data centers made AWS the best choice for Netflix, who continue to use AWS to date.

Amazon: It may seem obvious that Amazon uses AWS, however Amazon is almost uniquely situated to be able to make use of essentially every single feature offered by AWS. With one of the largest data sets and diversity of applications developed by Amazon, it is one of the most comprehensive use cases for AWS

NASA: At the time of migration to AWS, NASA had 10 centers throughout the US. These centers were spread geographically, meaning the experience for end users wishing to view data from NASA difficult. Wanting to create an easy access platform to allow the public to view their research while also handling all the incoming data made AWS the perfect choice for NASA.

Facebook: As one of the largest and most widespread social media platforms in the world, Facebook is estimated to generate over 4 petabytes (4 million Gigabytes) of data per day. As there are very few cloud service providers that can handle that amount of data, AWS is best viable option for Facebook when trying to store this enormous amount of data.