What’s New in Azure Database for PostgreSQL: Modern Features That Transform Enterprise Workloads

Azure Database for PostgreSQL has evolved rapidly over the last two years, introducing a wave of new capabilities that significantly change how organizations run PostgreSQL in the cloud. These improvements go far beyond version upgrades they reshape performance characteristics, availability models, security posture, and the operational experience of managing PostgreSQL at enterprise scale.
In this session, take a look at the newest features in Azure Database for PostgreSQL and explain how they directly impact real workloads. Whether you are running mission critical OLTP systems, analytics‑adjacent workloads, or modernization projects, these platform enhancements unlock better reliability, predictable performance.
You will learn about recent advancements such as improved HA/DR behavior, faster failovers, storage and compute innovations, enhanced monitoring and telemetry signals, newer PostgreSQL engine versions, popular extensions like pgvector, updates in connection management, and security features that address enterprise governance requirements.
how these features change architectural decisions and what teams gain when adopting them and how these modern capabilities reduce operational friction, improve resilience, and eliminate common production pain points.

The Unified Data Future: How Microsoft Fabric and SQL Server 2025 Deliver Streaming, AI & Real‑Time

Organizations are under increasing pressure to turn raw operational signals into real‑time, AI‑powered decisions. Yet most enterprises continue to operate fragmented data estates built on batch pipelines, isolated databases, and complex integration layers. With the introduction of Microsoft Fabric and SQL Server 2025, the data platform landscape is undergoing a significant transformation—one where streaming, analytics, AI, and transactional systems converge into a unified, end‑to‑end architecture.
This session explores how the combined capabilities of Microsoft Fabric’s Real‑Time Intelligence, Eventstream, KQL Database, Lakehouses, and Data Activator, together with SQL Server 2025’s advancements in native vector search, semantic indexing, accelerated analytics, and zero‑ETL mirroring into Fabric, unlock a new era of real-time data applications. Attendees will learn architectural patterns that seamlessly integrate high‑velocity streaming ingestion with low‑latency analytical queries, and how to operationalize AI models directly within SQL workloads and Fabric pipelines.
Through practical examples and end‑to‑end reference architectures, the session demonstrates how to replace slow batch refreshes with real‑time dashboards, anomaly detection pipelines, and automated actions. We will also examine how unified governance, cross‑platform compute, and OneLake simplify operations while enabling enterprise‑grade reliability and scale.
By the end of this talk, participants will understand how Fabric and SQL Server 2025 together create a foundation for intelligent, real‑time decision systems, enabling teams to build faster, smarter, and more resilient data‑driven applications

Running Azure Database for PostgreSQL at Enterprise Scale:

Modern enterprise applications require database platforms that deliver high availability, predictable performance, security, and scalability without operational complexity. In this session, we explore how to run mission-critical workloads on Azure Database for PostgreSQL, drawing from real-world enterprise patterns and production experiences across performance engineering, resilience, scalability, and operational excellence.Attendees will learn how to design for throughput and scale using both vertical horizontal scaling strategies, including configuration best practices for connection pooling, query optimization, indexing, and effective use of read replicas and sharding patterns at scale.
Reliability is foundational for enterprise success. We will examine proven approaches to high availability, automated failover, and disaster recovery, including cross-region replication, backup strategies, and designs that meet strict RTO/RPO requirements. . concludes with practical lessons learned, framed as clear dos and don’ts, supported by metrics, failure patterns, and recovery strategies. architects, DBAs, and developers to confidently deploy, operate optimize Azure Database PGSQLfor demanding enterprise workloads whether migrating legacy systems or building modern cloud-native services.

Agentic DBA Copilot: Autonomous Ops for SQL Server at Scale

As SQL Server environments grow in scale and complexity, engineering teams struggle with noisy alerts, recurring performance issues, and time‑consuming investigation cycles. This session introduces Agentic DBA Copilot, a multi‑agent system built with Semantic Kernel and AutoGen that autonomously analyzes SQL telemetry, explains issues in plain language, and proposes safe remediations—while keeping humans firmly in control.
We’ll walk through how specialized agents collaborate—Planner, SQL Expert, Risk/Guardrails, and Explainer—to audit workloads, diagnose plan regressions, validate T‑SQL changes, and generate actionable fixes backed by evidence. You’ll learn architectural patterns for secure function calling, grounding with Query Store and DMVs, and approval‑based workflows that ensure reliability in production environments.
Attendees will leave with a practical blueprint for bringing agentic intelligence to SQL Server operations—accelerating troubleshooting, reducing toil, and enabling a safe path from assistive automation to autonomous remediation at enterprise scale.

Moving to Azure SQL from VM-based SQL

This will be an insightful session on transitioning from on-premises and VM-based SQL Server to Azure SQL. Discover the myriad benefits of moving to Azure SQL, including cost savings, enhanced features, ease of use, quick scaling, and improved reliability. I’ll explore various migration options to Azure SQL and discuss all the different versions available, such as Managed Instance, Hyperscale, Elastic Pool, and Serverless. Whether you’re interested in agility, security, or total cost of ownership, this session will provide you with the knowledge and tools to make an informed decision. Don’t miss out on learning how to transform your SQL Server infrastructure and unlock new opportunities with Azure SQL.

Navigating the Future: SQL Server to Fabric Real-Time Intelligence

In today's data ecosystem, professionals face a critical decision: stick with familiar SQL Server technology or venture into Microsoft Fabric's Real-Time Intelligence (RTI) databases. This choice can significantly impact performance, scalability, and overall business intelligence capabilities. As a former SQL DBA and Microsoft Escalation Engineer who's worked extensively with both Azure Synapse and Fabric RTI, I'll guide you through this decision-making process with clarity and practical insights. We'll explore when SQL Server remains the optimal choice and when RTI databases offer compelling advantages. You'll discover the architecture differences that matter, performance considerations, and cost implications of each approach. I'll demonstrate how your existing SQL skills transfer to Kusto Query Language (KQL), showing familiar patterns and highlighting key differences. Through real-world scenarios and demonstrations, we'll examine migration paths, hybrid approaches, and integration strategies between these technologies. You'll see firsthand how these systems handle time-series data, complex analytics, and large-scale workloads differently. By the end of this session, you'll have a clear framework for database selection decisions and practical knowledge to implement or migrate to Fabric RTI when appropriate for your organization's needs.

Navigating the Future: SQL Server to Fabric Real-Time Intelligence

In today's data ecosystem, professionals face a critical decision: stick with familiar SQL Server technology or venture into Microsoft Fabric's Real-Time Intelligence (RTI) databases. This choice can significantly impact performance, scalability, and overall business intelligence capabilities. As a former SQL DBA and Microsoft Escalation Engineer who's worked extensively with both Azure Synapse and Fabric RTI, I'll guide you through this decision-making process with clarity and practical insights. We'll explore when SQL Server remains the optimal choice and when RTI databases offer compelling advantages. You'll discover the architecture differences that matter, performance considerations, and cost implications of each approach. I'll demonstrate how your existing SQL skills transfer to Kusto Query Language (KQL), showing familiar patterns and highlighting key differences. Through real-world scenarios and demonstrations, we'll examine migration paths, hybrid approaches, and integration strategies between these technologies. You'll see firsthand how these systems handle time-series data, complex analytics, and large-scale workloads differently. By the end of this session, you'll have a clear framework for database selection decisions and practical knowledge to implement or migrate to Fabric RTI when appropriate for your organization's needs.

Moving to Azure SQL from VM-based SQL

This will be an insightful session on transitioning from on-premises and VM-based SQL Server to Azure SQL. Discover the myriad benefits of moving to Azure SQL, including cost savings, enhanced features, ease of use, quick scaling, and improved reliability. I’ll explore various migration options to Azure SQL and discuss all the different versions available, such as Managed Instance, Hyperscale, Elastic Pool, and Serverless. Whether you’re interested in agility, security, or total cost of ownership, this session will provide you with the knowledge and tools to make an informed decision. Don’t miss out on learning how to transform your SQL Server infrastructure and unlock new opportunities with Azure SQL.

Heterogenous Migration Techniques

Learn methods and techniques available for heterogenous migrations. This session contains practical 5 methods to migrate data from SQL Server to PostgreSQL

Learn methods and techniques available for heterogenous migrations. This session contains practical 5 methods to migrate data from SQL Server to PostgreSQL

Amazon Q for Business

Amazon Q for Business

AI-Augmented Query Optimization: SQL Server 2025 Meets Fabric Self-Healing Data Platform

Session Description
SQL Server 2025 introduces advanced query optimization and observability features, while Microsoft Fabric delivers unified analytics and AI-driven insights. But how do we combine these innovations to create a self-healing data platform that minimizes downtime and maximizes performance?
This session is designed for DBAs, data engineers, and architects managing mission-critical workloads in hybrid or cloud environments. We’ll address a common pain point: manual troubleshooting of query regressions and performance bottlenecks. Instead, learn how to leverage SQL telemetry, Fabric ML notebooks, and AI-powered anomaly detection to automate root-cause analysis and remediation.
What you’ll gain:

A clear understanding of SQL Server 2025’s new optimization capabilities.
Practical steps to integrate Microsoft Fabric observability and AI for proactive performance management.
A blueprint for building a Self-Healing SQL Fabric Dashboard with real-world demos and POC architecture.

Walk away with actionable strategies to future-proof your data platform using AI-driven automation, Fabric analytics, and SQL Server 2025 innovations.