In this compact 1-hour session, Denis Magda, author of "[Just Use Postgres!](https://www.manning.com/books/just-use-postgres)" book, will provide insights into how Postgres serves as a versatile platform handling AI vector search, document storage, and time-series data. Denis will walk us through how Postgres has evolved to handle workloads far beyond traditional RDBMS capabilities, making this event perfect for developers looking to simplify their tech stack while maintaining powerful solutions for diverse data needs.

**What You'll Learn:**

* Why "Just Use Postgres" isn't just a catchy phrase but a practical architecture strategy
* How PostgreSQL handles AI workloads with vector storage and similarity search
* Key extensions and features that transform Postgres into a multi-model database
* When Postgres is (and isn't) the right tool for specialized data tasks

Whether you're a seasoned PostgreSQL user or simply curious about reducing the complexity of your data infrastructure, this session will provide valuable insights into making the most of this powerful open-source database.

**Agenda**
6:00 - 6:05 PM: Welcome and Introduction
6:05 - 6:30 PM: Denis will walk through selected chapters from his book
6:30 - 6:55 PM: Q&A/Discussion
6:55 - 7:00 PM: Wrap-up and Announcements

**About the Speaker**
[Denis Magda](https://www.linkedin.com/in/dmagda/) is a technologist and author with extensive experience in database systems and distributed computing. He is currently writing "Just Use Postgres!" for Manning Publications, a practical guide for application developers that showcases how PostgreSQL can handle diverse workloads traditionally requiring specialized databases. Denis brings years of experience working with data systems at scale and is passionate about helping developers make pragmatic technology choices.

**Who Should Attend**

* Backend developers and architects looking to simplify their tech stack
* Data engineers interested in PostgreSQL's extended capabilities
* Anyone curious about vector databases and AI implementation with PostgreSQL
* Developers considering PostgreSQL for non-traditional workloads

**Format**
This is a virtual event. Connection details will be shared with registered attendees.

Join us for this special opportunity to learn from a database expert and discover how PostgreSQL might be able to replace multiple specialized systems in your architecture!

Serverless Toronto

Daniel Zivkovic

Jerry Thomas

Mikhail K.

Jonathan Dee

Harry

Sean Brennan

Said Zitouni

lubeso

Richard Gower

curtis taylor

Mark Tyborowski

PostgreSQL: The Swiss Army Knife Database for the AI Age

Online event

Exciting technical session where Dan Dobrin will decode the latest protocols powering intelligent Agentic AI systems. We will explore how Model Context Protocol (MCP) and Agent2Agent (A2A) Protocol are transforming the development of enterprise-grade AI applications in serverless environments. While many RAG implementations require Python, Dan will demonstrate how these powerful protocols can be implemented in enterprise Java environments. This session offers valuable insights for developers across all major cloud platforms, as these emerging open standards are designed for multi-cloud, interconnected systems.

**What You'll Learn**

* \- How Model Context Protocol \(MCP\) enables robust tool usage and integration in LLM applications
* \- The architecture and implementation patterns of Agent2Agent \(A2A\) Protocol for creating multi\-agent\, collaborative AI systems
* \- Practical approaches to building intelligent agentic systems in serverless environments
* \- Enterprise\-grade implementation strategies beyond proof\-of\-concept demos

Whether you're working with AWS, Azure, or Google Cloud, these open protocols represent the future of intelligent system development. Join us to explore how these technologies can enhance your AI applications with more sophisticated reasoning, planning, and collaboration capabilities.

**Agenda**
6:00 - 6:10 PM: Welcome and Introduction
6:10 - 6:50 PM: Main Presentation:

* Agents vs Workflows: Understanding the evolution from simple to complex systems
* Agentic Capabilities: Function calling, planning, and reflection
* RAG implementation in enterprise systems
* Model Context Protocol (MCP): Architecture and implementation
* Agent2Agent (A2A) Protocol: Extending MCP for agent collaboration
* Java implementation patterns for enterprise environments
* Deployment in serverless environments (Cloud Run)

6:50 - 7:20 PM: Demo and Q&A
7:20 - 7:30 PM: Wrap-up and [Manning Publications](https://www.manning.com/catalog) Raffle

**About the Speaker**
[Dan Dobrin](https://www.linkedin.com/in/dan-dobrin/) is an Enterprise Application Architect at Google Cloud with extensive experience in enterprise Java applications and cloud technologies. He recently presented multiple sessions at Google Cloud Next '25, including talks on GenAI, LangChain4j, Gemini Code Assist, and Agentic RAG systems. Dan previously spoke at Serverless Toronto about High-Performance Java on Google Cloud Platform, and is a frequent speaker at Spring I/O conferences. With a focus on practical, production-ready implementations, Dan brings real-world insights into cutting-edge technologies.

**Who Should Attend**

* Software architects and developers interested in building intelligent AI systems
* Enterprise Java developers looking to implement advanced AI capabilities
* Cloud practitioners working with serverless technologies
* Technical leaders evaluating emerging standards for AI agent development
* Anyone interested in the future of LLM-powered applications in production environments

**Format**
This is a virtual event. Connection details will be shared with registered attendees.

Don't miss this opportunity to learn about the protocols shaping the future of intelligent systems development from an experienced enterprise architect. Whether you're just getting started with AI or building sophisticated agent-based applications, this session will provide valuable insights applicable across cloud platforms.

Dan Dobrin

Haggai Lerman

Building Agentic AI systems: A2A (Agent2Agent) & MCP Protocols & Serverless

DataCloud

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