Aditya Samant

Payment dispute resolution and ledger reconciliation require agents that reason over transactional history, retrieve precedent with precision, and write through idempotent workflows.

Build an agentic retail assistant that answers from business facts under explicit controls. Across four connected labs, combine Aurora PostgreSQL full-text search and pgvector with reciprocal rank fusion and Cohere Rerank on Amazon Bedrock.

Join this session to learn about Amazon Aurora DSQL's optimistic concurrency control (OCC). Explore building an application to understand the impact of OCC on your relational workloads, how it differs from traditional databases, and how to achieve the desired semantics in DSQL's OCC model.

Multi-agent collaboration unlocks new levels of reasoning, specialization, and task orchestration in generative AI systems. In this hands-on workshop, learn how to harness Model Context Protocol (MCP) with AWS agentic AI services and Amazon Aurora PostgreSQL-Compatible Edition to build a collaborative AI system.

Explore how to build an agentic AI application using Amazon Aurora and Model Context Protocol (MCP). This session introduces design patterns for agents powered by Amazon Bedrock that retrieve live relational data from Amazon Aurora to drive autonomous workflows.

Join this session to learn about Amazon Aurora DSQL's optimistic concurrency control (OCC). Explore building an application to understand the impact of OCC on your relational workloads, how it differs from traditional databases, and how to achieve the desired semantics in DSQL's OCC model.

Multi-tenant architectures provide agility and scalability by sharing data storage resources for all tenants. In such environments, isolating tenant data is fundamental for application builders.

With Amazon Aurora PostgreSQL Limitless Database, you get the flexibility and familiarity of a relational database with the virtually limitless horizontal scale of a distributed database. In this chalk talk, learn how to architect a hyperscale solution featuring a managed sharded database.

Multi-tenant architectures provide agility and operational cost savings by sharing data storage resources for all tenants. In such an environment, isolating tenant data is a fundamental responsibility for SaaS providers.

Event-driven architecture is a software architecture promoting the production, detection, and consumption of events, as well as the reaction to them. It provides increased availability, elasticity, scalability, and cost optimization by promoting microservices, which are small, specialized services performing a narrow set of functions that can independently scale to meet demand.

In this chalk talk, learn best practices for Amazon Aurora cost optimization. Gain a deeper understanding of the key Aurora cost dimensions, such as compute, storage, I/O, and backups, and discover what mechanisms and optimizations you can apply to reduce costs.