Mithun Mallick

Foundation models reason well, but they don't know what changed in your business a minute ago. When agents can only reach data that isn't real-time, their answers fall behind. This session shows how to connect an AI agent on Amazon Bedrock AgentCore to the Confluent Cloud Real-Time Context Engine (RTCE). RTCE serves live data straight from your Kafka topics to the agent over the Model Context Protocol (MCP), so it can reason over real-time context and act on what is true right now. Every call is read-only, schema-enforced, and audit-logged.

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.

Companies may deal with integration challenges in many areas and on many layers, and all integration approaches come with their individual trade-offs. However, loosely coupled integration can not only help with designing independent systems that can be developed and operated individually but can also increase availability and reliability of the overall systems landscape.

RabbitMQ is a widely used message broker for microservices integration and for building distributed, decoupled applications. In this chalk talk, dive deep into the deployment architecture of Amazon MQ for Rabbit MQ, including monitoring and performance tuning and implementing migration/hybrid patterns using federation and shovel plugins.

Sometimes, architects are unsure about which application integration approach is best for their use case or access pattern. Aside from APIs, options to choose from include messaging, streaming, and events.

Increasingly, customers want to move from commercial brokers to open-source brokers on the cloud. The challenge they face is that these message brokers are tightly integrated with several of their mission-critical applications.

Learn how to utilize AWS services for serverless processing, such as AWS Lambda and the Amazon API Gateway, to facilitate secure development and deployment of a Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) interface that supports data interoperability. Using the AWS Code family of tools for development, you walk through several message examples and...