Friday, September 9, 2022
The AWS Community Day is a regional conference organized and attended by AWS practitioners. Its primary objectives are networking and peer-to-peer learning.
About
Welcome back to another much-anticipated AWS Community Day - a free full-day conference. See what the rest of the AWS user community has been up to. Share what you have learned with them. Network with your peers to establish new relationships and strengthen old ones. And while you are there, meet our valued sponsors who offer cutting edge tools to enhance your AWS experience.The AWS Community Day, like no other, allows people in a region to come together and connect with each other without the hustle and bustle of re:Invent and re:Inforce. This is a full day event with plenty of food and time between breakout sessions to walk around and network, or sit down around a table and discuss the finer points of cloud computing to your hearts content.
We're back in-person this year!!
For the last couple of years we had to go online with the conference due to COVID-19. This year we will have the event in-person, again at the iconic Computer History Museum.
We know that the conference is much more fruitful in person - very conducive to networking and learning. So we will do our best to keep it safe and enjoyable.
Speakers
The schedule will be published closer to the event. In the meantime, go ahead and register. If you are interested in presenting at a session, please review the call for presentations (CFP), and submit a proposal.
Sponsors
Every year this event is made possible by the generosity of our sponsors. It is a great opportunity for the sponsors to convey their message to the community as well as for the community to gain from our sponsors.
If you would like to be a sponsor, please fill out this form.
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Adrian Cockcroft
Adrian has had a long career working at the leading edge of technology. Until recently he was a VP in AWS Marketing and has keynoted 20 AWS Summits around the world, presented on technical and management topics at many events, and hired the open source community engagement team. He helped author, launch and promote the Well Architected Pillar for Sustainability. He has worked for Cambridge Consultants Ltd, Sun Microsystems, eBay, Netflix and Battery Ventures before joining Amazon.
Keynote
John Varghese
John Varghese is an AWS Community Hero. He was the Cloud Steward for AI and Futures at Intuit. Currently he is a Cloud Security Advisor at American Express. John is the co-author of Pragamatical AI. He speaks at conferences and inspires people to migrate their IT workloads to the cloud.
Image Builder in practice
Wolf Paulus
I'm a Principal Engineer at Intuit, an Adjunct Professor at ERAU, and I’m appointed to the advisory committee at the University of California, Irvine. Occasionally, I speak at conferences and user groups, on topics ranging from Embedded/Mobile Technology to Emotional Prosody and Voice and Conversational User Interfaces.
One AWS Lambda to Rule Them All
Whenever I got a new laptop, or was just (re-) installing Mac OS from scratch, a Java JDK, IntelliJ IDEA, and Tomcat, the "pure Java" HTTP web server environment, were always among the 1st things I installed. How times have changed. Now it's Docker, Python3, PyCharm, and AWS and SAM CLIs that go on first. I still do Java, quite a bit actually, but Python and AWS Lambda are on the rise. An AWS Lambda function can be simple but still quite powerful, doing many things I used to do with Tomcat.This talk will show an AWS Lambda function, implemented in Python, performing things like:
- Serving an HTML page
- Consuming HTTP Post requests sent from that page HTML page
- Securely storing received information in a Dynamo DB
- Synthesizing text into speech, i.e. returning MP3 (digital audio)
- Calling others AWS Lambda functions
- Calling native libraries or executable that were deployed with the lambda function .. and more.
We will be using the AWS Web UI only very sparingly, but use a YAML file instead wherever it makes sense, like for declaring the DynamoDB.
Josh Stella
Josh Stella is co-founder and CTO of Fugue, the company putting engineers in command of cloud security and compliance. Previously, Josh was a Principal Solutions Architect at Amazon Web Services (AWS), where he supported customers in the area of national security. Prior to Fugue, Josh served as CTO for a technology startup and in numerous other IT leadership and technical roles over the past 25 years.
Building a Highly Secure Amazon S3 Bucket
Amazon S3 probably gets a lot of use at your company—the object storage service was one of the first cloud services offered by AWS way back in 2006. It’s ease of use, reliability, and scalability have proven incredibly popular over the years.But S3 security isn’t so simple—it’s easy to get wrong and think you got it right. Recent high-profile cloud-based data breaches that involved S3 cannot be chalked up to simple customer mistakes. Rather, advanced cloud misconfiguration attacks exploit S3 buckets that otherwise appear to be configured securely.In this talk, Fugue CTO Josh Stella will dig into the complex layers of S3 security to help you think critically about security for your unique AWS use cases. You’ll understand how other AWS services such as IAM and EC2 can create S3 vulnerabilities you may not be seeing—and how malicious actors exploit them.
Asif Khan
More than 15 years experience building teams, delivering disruptive technology and creating internet-scale software products. 5 years mentoring venture backed and pre-VC founders on technology and business strategy. Passionate to solve next-gen distributed problems; wireless electricity, edge computing and unbiased AI.Foundational contributions to Amazon HoneyCode, AWS Fargate, and SAP HANA. Publications in domain journals including IEEE, multiple patents, and contributions to Linux System Administrator Handbook.
The state of Data and AI
John Varghese will sit with Asif Khan and discuss the current state of Data and AI and look at ways to leverage AWS to make it work for you.
Rustem Feyzkhanov
Rustem Feyzkhanov is a machine learning engineer at Instrumental, where he works on analytical models for the manufacturing industry, and AWS Machine Learning Hero. Rustem is passionate about serverless infrastructure (and AI deployments on it) and is the author of the courses "Serverless Deep Learning with TensorFlow and AWS Lambda" and "Practical Deep Learning on the Cloud". Also, he is the main contributor to open source repository for serverless packages https://github.com/ryfeus/lambda-packs.
Building Scalable end-to-end Deep Learning Pipelines in the Cloud
One of the main issues with ML and DL deployment is finding the right way to train and operationalize the model within the company. Serverless approach for deep learning provides simple, scalable, affordable yet reliable architecture. The challenge of this approach is to keep in mind certain limitations in CPU, GPU and RAM, and organize training and inference of your model.My presentation will show how to utilize services like Amazon SageMaker, AWS Batch, AWS Fargate, AWS Lambda and AWS Step Functions to organize deep learning workflows.My talk will be beneficial for machine learning engineers and data scientists.