Purifier

Sinopsis In this talk we will walk you through our journey of experimenting with different ETL solutions for creating and updating a dataset in the new AWS service: Table Buckets. Source data resides in glue tables and RDS. We start experimentation with Athena and eventually select Glue with Apache Spark as a solution. The presentation is focused on exploring the upsides and limitations of each solution, costs, challenges we faced, solutions we considered and local setup of an apache spark job.

We all love Lambda. However, developers often overuse it. In this session and true event-driven fashion, we will explore functionless architecture - connecting AWS services directly through native integrations rather than Lambda and SDK. Eliminating the need to bundle and deploy these functions, as well as saving on cost. During the demo, you’ll see a functionless application build with AWS CDK, its direct integration to various AWS Services such as API Gateway, EventBridge, S3, DynamoDB, Step Functions, handling business logic and data flow.

This session provides a practical guide to designing and deploying modern web architectures on Amazon Web Services and an open-source reference implementation to support your deployments. Attendees will learn how to transform a codebase into a fully operational, world-class application running on AWS, emphasizing best practices in scalability, security, and observability.

We’ll walk through the architectural decisions behind Presence, including how to structure microservices, leverage managed AWS services, and implement robust CI/CD pipelines.

Modern Amazon RDS and Aurora PostgreSQL deployments must balance performance, reliability, and cost, especially at scale. In this session, we’ll explore practical strategies for improving database performance while simultaneously reducing infrastructure spend. We’ll cover right-sizing, modern instance adoption (including Graviton), storage and I/O optimization, benchmarking techniques, and observability-driven tuning. Based on real production experience, these approaches often lead to measurable performance gains and 20–50% cost reductions without compromising availability.

AI agents are the next big step after chatbots — but the path from a local prototype to a scalable cloud solution is full of pitfalls. In this talk, I’ll walk through my project ai-secure.dev, where I built a fully automated security compliance agent using AWS Bedrock AgentCore that audits websites against frameworks such as ISO 27001, NIST, and SOC 2. AgentCore is essentially “Fargate for AI agents”: you provide the container, and AWS takes care of scaling, networking, and infrastructure. Particularly exciting is the AgentCore Browser — a managed Chromium environment that enables web automation without maintaining your own Playwright infrastructure.

Securing and managing network traffic efficiently is crucial for modern cloud architectures. AWS Cloud WAN, combined with Network Firewall and Route 53 DNS Firewall, provides a robust framework for protecting both egress and east-west traffic. This presentation explores how these security services enhance resilience, prevent threats, and enforce compliance across distributed environments. By integrating firewall policies and DNS security, organizations can strengthen their cloud infrastructure against cyber threats while maintaining optimal performance. Learn how to build a secure, scalable, and resilient network with AWS’s advanced security solutions.

As organizations increasingly rely on custom foundation models (FMs) for generative AI applications, the challenge shifts from model training experimentation to delivering low-latency, high-throughput, cost-efficient inference at production scale.

In this session, learn how Omilia uses Amazon SageMaker AI to deploy and scale custom FMs for enterprise conversational AI, optimizing for reliability, performance, and cost.