AWS & The Industries

What is AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. 

AWS SERVICES AT A GLANCE

AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud and build nearly anything you can imagine.

Global network of AWS Regions

AWS has the most extensive global cloud infrastructure. No other cloud provider offers as many Regions with multiple Availability Zones connected by low latency, high throughput, and highly redundant networking. AWS has 77 Availability Zones within 24 geographic regions around the world, and has announced plans for nine more Availability Zones and three more AWS Regions in Indonesia, Japan, and Spain. The AWS Region/Availability Zone model has been recognized by Gartner as the recommended approach for running enterprise applications that require high availability.

AWS customers

AWS Formula 1 Case Study

Why Amazon Web Services

To accelerate its cloud transformation, Formula 1 is moving the vast majority of its infrastructure from on-premises data centers to AWS and standardizing on AWS’s machine-learning and data-analytics services. Formula 1 will work with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services—including Amazon SageMaker, AWS Lambda, AWS's event-driven serverless computing service, and AWS analytics services—to deliver new race metrics that will change the way fans and teams experience racing.

The Formula One Group (Formula 1) is responsible for the promotion of the FIA Formula One World Championship, a series of auto racing events in 21 countries where professional drivers race single-seat cars on custom tracks or through city courses in pursuit of the World Championship title. Formula 1 racing has more than 500 million global fans and generated $1.8 billion in total revenue in 2017.

Formula 1 is a data-driven sport: During each race, 120 sensors on each car generate 3 GB of data, and 1,500 data points are generated each second. Using Amazon SageMaker, Formula 1’s data scientists are training deep-learning models with 65 years of historical race data to extract critical race performance statistics, make race predictions, and give fans insight into the split-second decisions and strategies adopted by teams and drivers.

By streaming real-time race data to AWS using Amazon Kinesis, Formula 1 can capture and process key performance data for each car during every twist and turn of the Formula 1 circuits. Then, by deploying advanced machine learning via Amazon SageMaker, Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit. By sharing these insights through television broadcasts and digital platforms, Formula 1 allows fans access to the inner workings of their favorite teams and drivers. Formula 1 has also selected AWS Elemental Media Services to power its video asset workflows.

The F1 CFD project used over 12,000 hours of compute time to design the race car for the 2021 season. F1 is working with Amazon Web Services (AWS) to collect, crunch and deliver insights at speed to change the fan experience, and broadcast and viewing experiences.

Formula 1 used AWS technologies to study how cars “perform in the wake of another, as opposed to running in clean air” and understand the “incredible aerodynamic complexities associated with multi-car simulations”.

How AWS And Formula 1 Used ML To Find Fastest Racer In The History Of The Sport

The unlikely collaboration between F1 and AWS came into light last year, with the launch of ‘F1 Insights powered by AWS’, a series of graphics that educate the viewers with data analytics. 

According to the team behind this initiative, these graphics gave key and unseen insights into the inner workings of Formula 1 and brought them out into full public view for the first time.

These latest F1 Insights graphics take into account cornering performance, straight-line performance and car balance or handling — the key aspects teams, work to improve — and demonstrate them to the public with great visuals. So, these cloud-based machine learning algorithms not only help the analysts in the pit but also offer an enriched experience to those watching at home.

Cloud computing leadership

Gartner Research positions AWS in the Leaders quadrant of the new 2020 Magic Quadrant for Cloud Infrastructure & Platform Services (CIPS). CIPS, in the context of this Magic Quadrant, are defined as “standardized, highly automated offerings, in which infrastructure resources (e.g., compute, networking and storage) are complemented by integrated platform services.”

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