Attendee guide: Product and technical

This guide highlights sessions at re:Invent 2024 for those wanting to learn as much as possible about technical aspects and best practices of AWS products and services, including how to create products and solutions using generative AI. It focuses mostly on code talks and builders’ sessions.

Head of Consulting at Ubertas Consulting (part of Devoteam)

There’s an abundance of content available for consumption across the re:Invent 2024 catalog, and a finite amount of time in Las Vegas. Yet while we would all love to be able to attend three sessions at once, you do need to plan and prioritize those that are most valuable to you. Let me help you with that.

You won’t be surprised to learn that there is plenty of generative AI–aligned content this year. The sessions that I recommend are focused on cutting through the buzz and hype of the topic and delivering real use cases that you can take with you.

Keynote

*Walk-up only: No reserved seating required

KEY004 | AWS Partner Keynote with Dr. Ruba Borno

Join the AWS Partner Keynote, presented by Dr. Ruba Borno, Vice President, Global Specialists and Partners. Watch as she delves into the world of strategic partnerships to show the positive impact AWS and its partners are making possible for customers. Hear directly from partners and customers on the ways they’re reimagining business models and driving successful outcomes by utilizing AWS industry-changing services. And discover the ways AWS is improving the digital experience for partners and connecting them with higher-value opportunities that lead to long-term success.

Breakout session

SVS401 | Best practices for serverless developers

Do you want to take advantage of the full power of serverless architectures for your production workloads? Are you wondering how events can help your applications scale? Have you been trying to tune your applications for higher performance and lower cost? This session provides architectural best practices, optimizations, and useful shortcuts that experts can use to build secure, high-scale, and high-performance serverless applications.

DEV321 | Supercharge your DevOps practices with generative AI

In the relentless pursuit of swift and reliable software delivery, DevOps teams face immense challenges. This session explores how generative AI can revolutionize DevOps practices, accelerating deployment frequency, reducing lead time for changes, minimizing service disruptions, and mitigating change failure rates. Through live demos, witness how the transformative power of Amazon Q and Amazon Bedrock can streamline workflows, automate tasks, and enhance collaboration. Leave empowered with practical strategies to harness this cutting-edge technology and propel your team's DevOps excellence.

ARC403 | Try again: The tools and techniques behind resilient systems

Grand architectural theories are nice, but what makes systems resilient is in the details. Marc Brooker, VP and distinguished engineer, looks at some of the resiliency tools and techniques AWS uses in its systems. Marc rethinks, retries, breaks open circuit breakers, decodes erasure coding, and tackles the tail. Learn about formal methods and simulation, and how these tools help build faster code, faster.

DEV307 | Demystifying containers on AWS: What’s right for you?

This session dives into the details of running containers on AWS and the nuances that will affect which service you choose. Receive advice on when it is time to migrate to a different service, as well as the trade-offs between cost, complexity, and knowledge, in order to find the best combination for your use case. The session is hands-on and demo-driven to show how you can quickly test out the different options for yourself and decide which approach is best for you.

Builders' session

ARC308 | Harnessing generative AI to create & understand architecture diagrams

This builders’ session explores using generative AI to create and comprehend architecture diagrams, a critical aspect of software design and communication. Diagrams are often image data, custom formats of drawing programs, or text-based representations from diagram-as-code tools. Techniques are used from two different layers of the generative AI stack, Amazon Q Developer and foundational models on Amazon Bedrock. Chat-based workflows first understand and analyze existing diagrams, and then ask follow-up questions about best practices. New diagrams are created using diagram-as-code formats. Leave with practical strategies for harnessing generative AI in your software architecture workflows. You must bring your laptop to participate.

SMB310 | Automated vulnerability patching with generative AI and AWS tools

Discover how to enhance your application's security with an automated vulnerability remediation pipeline using generative AI. This session covers integrating Amazon Bedrock and Amazon Inspector to automatically detect and patch vulnerabilities in code. Learn to streamline the CI/CD process, improve security posture, and minimize manual intervention in vulnerability management. Join this session for a hands-on exploration of leveraging AI to maintain secure and robust applications. You must bring your laptop to participate.

ARC302-R | Observability-driven development [REPEAT]

Operational excellence is a must-have for a well-architected workload and is integral to delivering a fault-tolerant, resilient, and performant workload. In this builders’ session, learn architectural best practices to help develop a workload health dashboard using AWS X-Ray and Amazon CloudWatch. Insights from the dashboard can help teams track, inspect, and ingest continuous improvement toward operational excellence. Learn how you can use Amazon Q to help instrument the application with AWS X-Ray, and explore features such as machine learning (ML)–based anomaly detection to help identify abnormal usage patterns; feature flags to help experiment with launching new features; and multi-tenant cost allocations based on usage. You must bring your laptop to participate.

SVS305-R | Handle scaling with AWS Lambda [REPEAT]

In this interactive builders’ session on AWS Lambda scaling, learn how serverless workloads can handle massive spikes. Explore best practices to generate high throughput using load testing tools, and analyze scaling behavior with Amazon CloudWatch metrics. Discover real-world use cases, covering potential pitfalls like cold starts, concurrency limits, and upstream/downstream bottlenecks. Leave with a tested approach to verify application scaling, even at high throughput levels. Gain confidence that your applications can truly scale on demand by pushing serverless to its limits. You must bring your laptop to participate.

SVS303-R1 | Enable fine-grained access control for your APIs [REPEAT]

Implement fine-grained, context-aware access control for your APIs in this hands-on builders’ session. Explore how to define granular, policy-based access controls using roles and attributes with the expressive, open source Cedar policy language. Integrate with Amazon Cognito user pools via the Amazon Cognito authorizer to enforce these fine-grained permissions in your APIs. Learn practical skills for enhancing API security through attribute-based access policies tailored to your application's unique requirements. You must bring your laptop to participate.

Chalk talk

Building and maintaining cost-effective generative AI applications [REPEAT] - PEX305-R

This chalk talk explores key design considerations for building cost-effective generative AI applications. We discuss model selection and optimization techniques, focusing on strategies for optimizing the Retrieval Augmented Generation (RAG) architecture. Learn about selecting the appropriate vector store and implementing efficient data storage and retrieval methods. Additionally, the talk covers prompt engineering best practices and demonstrates effective monitoring and cost-tracking approaches to ensure the overall cost-effectiveness of the generative AI solution. This chalk talk is intended for AWS Partners.

Code talk

Advanced analytics with AWS Cost and Usage Reports - COP403

In this code talk, dive deep into AWS Cost and Usage Reports (AWS CUR) and learn how to write queries, analyze usage, derive insights, and connect other datasets. Learn the different data export options, including Legacy CUR, CUR 2.0, and FinOps Open Cost and Usage Specification (FOCUS) 1.0. Whether you're a FinOps practitioner, an experienced AWS user, or a DevOps engineer, this talk equips you with knowledge and techniques to harness the full potential of your AWS cost and usage data. Join us to take your cloud cost management to the next level!

Accelerate your DevOps pipeline and remain secure with policy as code - SEC314

Accelerate your DevOps workflow on AWS by better understanding policy as code. In this code talk, learn how to define compliance rules for your AWS infrastructure and evaluate them using AWS CloudFormation Guard, which is an open source, general-purpose, policy-as-code evaluation tool. Explore how to seamlessly integrate automated policy validation into your existing deployment pipeline, empowering DevOps engineers to build policy assessment steps into their CI/CD pipelines. Security assessors will experience streamlined review processes while maintaining a robust security posture. Join this talk to unlock the perfect balance of velocity and security for your AWS deployments.

Code gen AI apps from prototype to production with Amazon Bedrock - AIM361

Building production-ready generative AI apps demands more than the core foundation model. This code talk guides you through coding your way from prototype to production using Amazon Bedrock. Learn best practices for real-time monitoring, automated evaluation frameworks for safety and quality, and effective guardrails for controlling model inputs and outputs. Gain a comprehensive understanding of the full lifecycle management required for successful deployment. Through code examples and real-world scenarios, acquire the tools and knowledge to confidently code and deploy powerful, production-grade generative AI applications. Learn the critical considerations beyond the model itself to ensure reliable, safe, and effective generative AI in production.

Resilience solutions for cohesive application protection - COP316

AWS services often have their own resiliency solutions. However, applications can span multiple AWS resources and creating a unified runbook for addressing business continuity events can be daunting. In this code talk, discover several common architectures comprising multiple AWS services resources and learn the best ways to create cohesive and simple resiliency plans.

Build a meeting summarization solution with generative AI & serverless - API310

In this code talk, see live coding of a serverless application for producing meeting summaries with generative AI. Learn how to orchestrate transcription using Amazon Transcribe and summarization with Amazon Bedrock, orchestrated with AWS Step Functions. Discover how to simplify and scale your application using event-driven techniques with Amazon EventBridge. Leave with practical skills for developing serverless generative AI solutions that streamline meeting insights through automated transcription and summarization powered by AI/ML services.

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