Registration – 2024
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Keynote: Why does everyone keep talking about Generative AI?
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Keynote
Keynote
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Break
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Automated Application Delivery on AWS using Github Actions
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Presenter: Bob Eisenmann
Abstract: A 25 min talk on using GitHub and GitHub Actions for Continuous Integration and Continuous Delivery on AWS. Talk will focus on the architecture, configuration, and best practices for this automation.
AWS Services: AWS Compute, network, and storage resources
Audience: Advanced
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Getting Started with AWS SAM: Developing Lambda Functions Locally with Docker, Python, and VSCode
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Presenter: Girish Bhatia
Abstract: This session will introduce beginners to AWS SAM for local Lambda function development with SAM, Docker, Python, and VSCode. Key points include:
1. Developing and Debugging Lambda Functions Locally with AWS SAM and VSCode
2. Setting Up the Development Environment
3 Use Lambda function developed using Python to return requested data
4. Implementing Debug Breakpoints for Effective Troubleshooting
5. Building and Deploying Your Lambda Function
AWS Services: AWS Lambda, AWS SAM, AWS IAM, AWS S3
Audience: Beginner
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SaaS meets AI / ML and generative AI
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Presenter:
Abstract:
Supporting AI/ML and generative AI in a SaaS environment requires teams to take on a range of multi-tenant challenges. Providers need to consider how tenants are mapped to models, how inferencing is scaled for tenants, how solutions are integrated with other AI/ML services, and how LLMs are tuned to meet tenant-specific needs. In this session, dig into these intersections between multi-tenancy and AI/ML.
AWS Services: Amazon Bedrock
Audience: Advanced
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Getting Started with Serverless Website Analytics
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Presenter: Chris Ebert
Abstract: Looking to take control of your website analytics without the hefty costs or complex infrastructure while also controlling your data? "Serverless Website Analytics" is your gateway to a low-cost, efficient, and entirely serverless analytic solution, perfect for both hobby and commercial projects. Join us for an engaging session where we'll discuss the project, explain how to get started, and provide a live demo. "Serverless Website Analytics" uses several AWS serverless technologies, including Cognito, CloudFront, EventBridge, Lambda, and Event Bridge.
AWS Services: Cognito, Lambda, DynamoDB, CloudFront, EventBridge
Audience: Intermediate
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Lunch
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Things AWS could learn from Azure (and things it shouldn’t)
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Presenter: Andrew May.
Abstract: As a long time AWS user, I've been working on an Azure project for the last year. This has been an opportunity to compare the two platforms and see what each one does best. I’ll talk about some of the things I think AWS could learn from Azure, and some of the things I really hope it never adopts.
Areas covered will include resource management, pricing, availability zones and Lambda functions.
AWS Services: Various
Audience: Advanced
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Building Testable Serverless Applications with the Hexagonal Architecture and TypeScript
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Presenter: Jason Butz
Abstract: Learn how the hexagonal architecture pattern was applied to a serverless microservice to increase the service's testability, modularity, and accelerate development. Come ready to learn practical techniques you can begin using today in your serverless AWS CDK projects. These techniques were used to develop business-critical event-driven services that handle more than 20k events every month. This talk assumes AWS CDK, Lambda function, and TypeScript knowledge.
AWS Services: Lambda, CDK, API Gateway
Audience: Advanced
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Something on backup and DR – Up and running with AWS Backup
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Presenter: Dave Staffacher
Abstract:
AWS Services:
Audience: Beginner
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AWS Datasync to migrate objects from on-prem to s3
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Presenter: Muthukumaran Ardhanary
Abstract: Are you worried about the hassle and inefficiency of transferring data between on-premises storage and AWS Storage services? Look no further than AWS DataSync! Its secure online service automates and accelerates the process, allowing you to spend less time worrying about data and focusing more on what matters most to your business. With AWS DataSync, we seamlessly migrated billions of objects, petabytes of data and thousands of buckets from our on-premises storage to Amazon S3. The best part? We customized DataSync to meet our specific needs, ensuring a smooth and efficient transfer. Learn our experience on-prem to AWS S3 object migration, planning, covering best practices, tools and technologies, dos and don'ts, and more.
AWS Services: AWS Datasync, S3, Lamda, Athena, SQS and Event Bridge
Audience: Beginner
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DevOps My AI
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Presenter: David Michels
Abstract: In the rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), automating the training, testing, and deployment of large language models is crucial for efficiency and scalability. This presentation delves into creating Gen AI CI/CD pipelines on with AWS, leveraging AWS SageMaker, AWS Bedrock, and AWS S3 services. We’ll outline the essential components of a CI/CD pipeline, and talk about how pipelining AI (especially LLMs) is different than traditional. From there, we will talk about how AWS SageMaker facilitates the development and training of large language models. AWS Bedrock’s role in establishing a secure, compliant, and scalable foundation for ML workloads is discussed, highlighting its integration with CI/CD processes. Any model training requires data so, we demonstrate how AWS S3, serves as the backbone for storing and retrieving model data and artifacts. By the end of this presentation, attendees will have an foundational understanding of implementing Generative AI CI/CD pipelines utilizing AWS services.
AWS Services: Bedrock, sagemaker, s3
Audience: Advanced
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Behind the Scenes of Amazon’s Supply Chain & Logistics
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Presenter: Tom Lauducci
Abstract: Amazon.com moves at hyper speed and unprecedented scale. Innovative offerings like next-day & same-day delivery for 200M+ Prime customers are transforming customer expectations and industry norms. Peek behind the scenes at how AWS powers Amazon’s global supply chain, including a virtual fulfillment center tour. We’ll focus on innovations in advanced analytics, machine learning optimization, robotics & AI, and improving associate experiences. This overview of Amazon’s digital supply chain strategy showcases real production use cases from the world’s largest consumer of cloud computing services and links them directly to the business value they deliver. We’ll close with examples of services that make it easy to get started working on transforming your own customers’ experiences.
AWS Services: Dozens - SageMaker, Monitron, IoT, DynamoDB, S3, Redshift, Pinpoint, SQS
Audience: Business Focused
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Optimize AWS Glue IP addresses & Expand Network with Private NAT
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Presenter: Sushanth Kothapally and Senthil Kamala Rathinam
Abstract: As enterprises grow, their demand for IP addresses often exceeds what their corporate network can provide. While networks are designed to tackle future needs, evolving enterprises eventually outgrow them. This often possess constraint of running multiple AWS Glue jobs in parallel that require number of database connections. To enable more connections, organizations can obtain additional IP addresses from their corporate pool, either unique or overlapping with the existing network. Overlapping IP addresses require extra network management like private NAT gateways, AWS PrivateLink, or self-managed NAT appliances to establish connectivity. This presentation discusses two strategies to scale AWS Glue jobs within IP-constrained networks:
Optimize IP address usage by right-sizing Data Processing Units, using AWS Glue Auto Scaling, and fine-tuning jobs
Expand network capacity by adding a non-routable CIDR range with a private NAT gateway.
Implementing these strategies allows companies to maximize their use of IP addresses to support more data processing workloads using AWS Glue
AWS Services: AWS Glue, AWS Transit Gateway, AWS Transit Gateway, Amazon VPC
Audience: Advanced
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Happy Hour
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