Uma Ramadoss

Agents are moving from demos to production, and the compute you pick shapes security, state, and cost downstream. This session follows a real agent running on AWS and the decisions behind it.

Agentic AI is transforming enterprise applications, but taking it from prototype to production requires more than just prompting. Join this chalk talk to discuss pragmatic, scalable patterns for building agentic AI systems using AWS Serverless services like Lambda, ECS Fargate, and API Gateway.

Event-driven architecture (EDA) enables organizations to build highly flexible and resilient systems, and customers are leveraging serverless containers to run EDA workloads due to its ease of use, scalability, and deep integrations with AWS serverless services.

Learn to harness the power of AWS Serverless to build robust, cost-effective generative AI applications in this breakout session. Explore using AWS Step Functions to orchestrate complex AI workflows seamlessly.

Enterprises today face an ever-increasing need to process large-scale data to meet their business goals and unlock new value. Distributed data processing offers a cost-efficient way to speed up processing, but it also presents challenges for developers in managing the parallelism within serverful environments.

Data drives many businesses, but the way it is ingested and processed is changing. Serverless data processing with AWS Lambda and AWS Step Functions offers new ways to process data quickly and efficiently.

Apache Airflow is a popular workflow platform, but it often faces critiques that may not paint the whole picture. In this talk, we will unpack the critiques of Apache Airflow and provide a balanced analysis.

According to independent research by Reports and Data, workflow orchestration market size is expected to reach $81.66 billion (USD) at a CAGR of 23.9 percent by 2026. As companies modernize their stack using cloud-native services such as containers and AWS Lambda, it is necessary to have a reliable workflow automation tool that can bridge solutions across services in different cloud domains.

Resilient systems have the capability to recover when stressed by load, bugs in the workflow, and failure of any task. Reliability of the infrastructure or platform is not sufficient to run workflows reliably.

Workflow orchestrators are essential to building data pipelines and automation, and so is choosing the right workflow orchestrator for your use case. In this chalk talk, explore the various use cases suitable for Amazon MWAA and AWS Step Functions by comparing the features and benefits of each.