AWS re:Invent 2021 – Adam Selipsky Keynote

The world has been facing many challenges this year. COVID-19 pandemic forces us to see everything in the new POV. We have to find a new path to change the world. This year is the first time for the new CEO of Amazon Web Services, Adam Selipsky, to give a keynote for the big annual event, re:Invent 2021. Overall, Adam Selipsky shared many study cases in the past for inspiring us to see the world in the new POV and change the world to become better.

This year re:Invent 2021 was started with our own Zach Person’s concert

Amazon Web Services History

Since 2006, Amazon Web Services has been leading the world with the newest ideas. As the first cloud public provider, Amazon Web Services had to improve companies worldwide to run their applications on the latest infrastructure platform technology.

Millions of Amazon Web Services’ customers worldwide need to run their critical applications and system. Amazon Web Services has an enormous partner ecosystem of over 100,000 partners.

“We’re going to keep innovating to keep offering the broadest suite of services”

Amazon Web Services has been the leader in the Gartner Magic Quadrant for 11 consecutive years.

Amazon Web Services aims on not just another tech revolution, but to enable the fundamental shift of the way businesses function.

Some customers, such as Netflix, NASA, and NTT DoCoMo, are “pathfinders” who partner with Amazon Web Services to revolutionize the world.

“They’re doing something unique!”

Netflix transformed its business and entertainment industry by pioneering the streaming of movies and creating original content on Amazon Web Services.

We can all watch what was happening hundreds of millions of miles away as NASA engineers landed during the mission on Mars, which uses Amazon Web Services to support the landing process, throughout the mission.

Meanwhile, NTT DoCoMo was part of Japan’s largest telecom, was the first to prove the power of the cloud. They are using a data warehouse on Redshift that ran queries 10x faster than those on-premises.

“Each of these customers dared to do something fundamentally different.“

They dared to take a step back in order to step forward. What these organizations did was to find an entirely new path.

“They were pathfinders.“

Nasdaq

NASDAQ which acts as the current market leader are responsible for seamlessly transacting hundreds of billions of dollars a day.

There are specific key attributes critical to successfully execute activities in the cloud.

They are to be hyper scalable, yet also resilient.

As Nasdaq deployed all of the solutions in Amazon Web Services, they regained tremendous insights into the ends that were thought to be impossible.

Amazon Web Services is guiding Nasdaq on the next step of the journey in partnership with Amazon Web Services.

Now, combining power with the global footprint of Amazon Web Services, Nasdaq has seen the global power of these integrated systems, as the market technology footprint, reach around the world.

Nasdaq will be 100% cloud powered via AWS!

Basketball (Hank Lucetti)

Amazon Web Services seek for pathfinders as they need a successful path and innovation.

Amazon Web Services is making the revolution of the whole journey, referencing the culture of 1930s basketball, when basketball wasn’t very popular.

Hank Luchetti, a basketball player, has showed how pathfinders could leapfrog with others by thinking impossible.

How could they refuse to accept the status quo and indeed created a better way?

It was a revolution

Just like how we’ve all used the cloud thus becoming more efficient and more agile, we need to have the ability to change the game.

Amazon Web Services realized that if they wanted to change the game through cloud culture, they needed to re-think instances entirely for all of the workloads in terms of price performance.

All the way down to the silicon.

Today, thousands of customers use AWS Graviton to base instances and reap benefits and price performance for an extensive range of workloads, including IT analytics, game servers, and high-performance computing.

Amazon Web Services has just announced Graviton 3, which is 25% faster on average for general compute workloads and performs even better for specific specialized workloads.

It also provides 2x faster floating-point performance for scientific workloads and 2x faster for cryptographic workloads, and 3x faster for ML workloads.

This helps reduce the carbon footprint of computing by 60%.

Amazon Web Services has just announced the new C7g Instance for EC2, the first instance available for Graviton3.

The last new announcement in the instance world were for ML workload, Amazon Web Services introduces the new Trn 1 instance.

Customers can now have the best price-performance for machine learning, from scaling trailing workloads to accelerate, deep learning workloads in production.

With high-performance inference, making the full power of machine learning available for all customers has been our goal for a long time, lowering the costs of training and inference or significant steps in this journey.

“We know we’ll never be done innovating in compute”

Building and deploying a mobile network takes a lot of time as a complicated process, requiring telecom expertise.

Plus, customers have to qualify and work with multiple vendors, and each has its pricing models, most of which include a charge reached device, which adds up.

Now, Amazon Web Services has announced Private 5G, a new service that makes it easy to reply and manage a private mobile network.

With Private 5G which operates in a shared spectrum, customers don’t need to have a spectrum license. Access permissions can be done quickly via the AWS console.

With AWS private 5G, customers can start and scale a private mobile network in days instead of months and get all the goodness of mobile technology without the pain of long planning cycles, complex integrations, and high upfront costs.

Nurse (Florence Nightingale)

Florence Nightingale, better known as the lady of the lamp, has been one of the most compassionate, famous nurses and history, but did you know she was also a data geek?

Through her passion for statistics, she discovered the impact of sanitation on the mortality rate, thus reducing the number of needless deaths by over 90%!

Reflecting on the story of Florence Nightingale, we could revolutionize a lot of industries through leveraging data. By finding patterns and insights within the data, we’ll be able to revolutionize the way we think about solving problems and at the same time, able to transform every field, every business, and all of our lives.

Even though every data journey is unique by its nature, they all share some critical components.

For example, you need a Database to store and process the data that powers the application.

You need to unite all the data stored in each place into a data lake; then, of course, you can’t have a data journey that includes the analytics tools to develop insights and understand the data trends.

More and more, you also need to integrate Machine Learning & Artificial Intelligence into your data journey, so you need the tools to build models to make predictions and to add intelligence to your applications.

Finally, for any of this to work, you need to ensure that you have the proper security and governance to bring relevant data to the hands of people at all levels of your organization.

We use AWS Lake Formation to spin up a data lake within days in the data lake journey. To give customized access to slices of data, traditionally, we have had to create and manage multiple copies of the data, keep all the documents in sync, and manage complex data pipelines. It’s a lot of heavy lifting.

Well, this heavy lifting is now gone as of the announcement of Row and Cell level security for Lake Formation.

You can now enforce access controls for individual rows and cells and automatically filter and reveal only permitted data via policy to authorized users.

Also, another challenge in the data lake is that data held isn’t static.

Data are being added and removed rapidly, which causes management conflicts and errors in ensuring that queries return consistent and up-to-date results.

This is a challenge that AWS recognized by announcing Transactions for Governed Tables in AWS Lake Formation. In which now you can create a new type of governed table which supports ACID transactions. For each data from S3, Lake Formation automatically manages conflicts and errors to give all users a consistent view of the data. So now, multiple sources of data pipelines can keep updating data in real-time while users are querying data instead of having to wait for data to be updated in batches.

Moreover, with the current amount of data growth, analyzing data is getting more important nowadays.

Analytics help customers understand what’s going on today, predict what will happen in the future, and build intelligence into systems and applications.

Amazon Web Services has announced four analytic services: Redshift, MSK, EMR with serverless enabled and Kinesis on-demand.

Eliminating the need for infrastructure and capacity management as customers don’t have to worry about provisioning capacity. Within seconds, fire them up, and the services automatically scale up or rescale back down according to customer needs, and the customer would pay only the amount of service used.

In the field of Machine Learning, tens of thousands of customers are using AWS Sagemaker, in which developers are flocking to AI services such as chatbots, vision and speech, NLP, and more. Moreover, Amazon QuickSight offers dashboards to display data helpfully. Also with QuickSight Q provides an easy way to get answers speedily and without hassle.

This is all part of AWS’ push to democratize machine learning, as Selipsky notes, but there is still more to be done.

Announcing Amazon SageMaker Canvas lets users create ML predictions even if they don’t have any ML experience and without the need to write any code. This opens the gate to allow more users than ever before to get the most out of Machine Learning, no matter what level of experience they have.

Pilot (Roscoe Brown)

The other “Pathfinder” came from Air World. In 1946, World War 2 has just ended. While watching his application for a commercial pilot job torn up in his face, Roscoe Brown was told that the US didn’t hire a black pilot.

Roscoe Brown could change the Air World culture at that time and became the first African American pilot ever to fly in the US military as one of the Tuskegee Airman. Roscoe Brown also overcame racial discrimination to found landmark organizations and communities.

Inspired by Roscoe Brown stories, Amazon Web Services has launched a digital program AWS Skill Builder, making learning cloud skills available on Amazon.com and the AWS re/Start program to help those starting at the very beginning of their cloud journey.

Also, as of the new partnership between Goldman Sachs and AWS, GS customers now can have quicker access to financial data to analyze and manage.

AWS IoT Twinmaker is a new service to make it easier for developers to create digital twins of real time systems like buildings, factories, industrial equipment and product lines.

AWS IoT Fleetwise makes it easier and more cost-effective for automakers to collect, transform and transfer vehicle data in the cloud in near real-time. This automaker can use IoT Fleetwise, negligible, collected, standardized, vast amounts of data for millions of vehicles.

“The cloud is an opportunity to reimagine everything. It provides a pathway to real transformation” – Adam Selipsky