April 28 - 9:00 AM - 2:00 PM PDT
Join us for our 6th annual Azure Cosmos DB Conf — a free virtual developer event co-hosted by Microsoft and the Azure Cosmos DB community, featuring expert-led sessions, demos, and real-world guidance on building globally distributed apps.
Explore the full document database family — Azure Cosmos DB, Azure DocumentDB, and open-source DocumentDB, hosted by the Linux Foundation. Learn why it's the leading database platform for the era of AI and modern app development through a dynamic mix of sessions from Microsoft and community experts.
Our 5-hour live show streamed on April 28, 2026. Every session — keynote, breakouts, and community talks — is now available on demand.
Join the Cosmos DB Conf Skills Challenge
Build the skills to design, develop, and optimize globally distributed applications with Azure Cosmos DB. Complete all modules in the Cosmos DB Conf Skills Challenge 2026 to prepare for the Microsoft Certified: Azure Cosmos DB Developer Specialty (DP-420) exam.
Eligible participants who complete the challenge may receive access to a discounted exam voucher, while supplies last. Complete the challenge by May 8, 2026.
Benchmark your progress against peers and track your standing on the leaderboard.
Build your understanding with guided modules covering modern application and AI patterns.
Gain practical, job-ready experience you can apply immediately.
Check the Cloud Skills Challenge page for leaderboard details and full requirements. Free to join and self-paced — complete modules on your own schedule before, during, or after the conference.
Stay up to date with the latest announcements and updates for Azure Cosmos DB Conf 2026.
Missed it during the conference? You still have time. The Azure Cosmos DB Conf 2026 Cloud Skills Challenge is open through May 8, 2026 — complete the modules and submit your entry to qualify for a 100% discount on a DP-420 certification exam voucher (one of 500 available).
Submit sweepstakes entry by May 8, 2026
And just like that, Azure Cosmos DB Conf 2026 is in the books. A huge thank you to everyone who tuned in today — and to the incredible speakers, the production crew, and the partners who made the show happen.
A special shout-out to our community who showed up in the YouTube live chat and kept the energy going all day long. You make this event what it is.
Missed something? Every session is now available on demand. Browse the speaker cards to find each session embedded next to its speaker, or watch the full Cosmos Conf 2026 playlist on YouTube.
Azure Cosmos DB Conf 2026 streamed live on April 28, 2026 from 9:00 AM to 2:00 PM PDT. All times shown in Pacific Daylight Time. Every session is now available on demand.
Kirill Gavrylyuk, Guillermo Rauch, Jonathan Lee, Andrew Liu, Steve Berg
Kirill hosts a keynote conversation with leaders from Vercel, OpenAI, Walmart, and AMD on building modern applications, AI, and data at planetary scale.
Mick Feller, Distinguished Software Engineer at The ODP Group (Office Depot), on powering an enterprise AI Personal Assistant with Azure Cosmos DB.
Sid Anand, Technical Fellow at Walmart, uses the Jetsons' Spacely Sprockets as a fun lens for the best practices behind always-on, low-latency, cost-efficient Cosmos DB apps.
Three production-ready memory patterns in Azure Cosmos DB that help AI systems retain context without blowing up token usage.
A deep dive into Change Feed internals, consumption models, lease management, and how to debug and scale it in production.
A sneak preview of a portable Java SDK that runs unchanged across Azure Cosmos DB, Amazon DynamoDB, and Google Cloud Spanner.
Andrew Ruffin, Senior Product Manager at AMD, on the modern AMD EPYC processors that power Azure Cosmos DB across the globe.
How to unify semantic caching, Change Feed coordination, and optimistic concurrency into a single Agent Memory Fabric that slashes multi-agent costs.
Build a retail store database once with MongoDB-compatible APIs and deploy it unchanged on-prem via Kubernetes and fully managed on Azure.
Johnny Halife, Partner at SOUTHWORKS, on using Azure Cosmos DB as the operational backbone for cloud-native, event-driven customer builds.
A complete tour of the Azure Cosmos DB query engine and indexing system — routing, index types, query metrics, and cost-saving optimizations.
Jess Ramos, founder of Big Data Energy Analytics and LinkedIn Top Voice in Data & AI, on building a community for 500,000+ data and tech professionals.
A whiteboard walkthrough of Azure Cosmos DB's internals — replica sets, consistent hashing, Request Units, and RU pooling across a global fleet.
Strategies for partition keys, schema design, storage estimation, and managing cross-partition queries before the choices become painful to fix.
Guillermo Rauch, CEO of Vercel and creator of Next.js, joins Kirill Gavrylyuk on building a developer cloud for the AI agent era.
Jonathan Lee from OpenAI's online storage team joins Kirill Gavrylyuk on what it takes for a database to keep up with OpenAI.
Steve Berg, CVP & GM Server CPU Cloud at AMD, joins Kirill Gavrylyuk on the AMD EPYC silicon powering Azure Cosmos DB across the globe.
Use Cosmos DB as a coordination layer for locks, leases, leader election, and saga orchestration — and understand the consistency tradeoffs at scale.
A real-world walkthrough of diagnosing hot partitions, over-indexing, and throughput issues — and the optimizations that restored stable performance.
Build a Python MCP server that authenticates users via Entra ID and stores per-user data securely in Azure Cosmos DB.
A cohesive framework for identity-first access, isolation, encryption, and data protection in cloud data workloads — built from real customer scenarios.
Combine event sourcing, Change Feed, and event-driven integration to build an auditable real-time fraud detection system across heterogeneous data sources.
Extend a working AI agent with agentic RAG using Cosmos DB hybrid search — vector plus full-text — so it retrieves what actually matters.
A tour of migration options and tradeoffs for moving MongoDB workloads to Azure DocumentDB.
Repeatable data-modeling, TTL, Change Feed, and observability patterns that cut Cosmos DB costs without sacrificing performance or velocity.
A complete Cosmos DB dev workflow — emulator, testing, CI/CD — supercharged with context files and prompting techniques for AI coding assistants.
A prompt-by-prompt playbook for migrating AdventureWorks and an ASP.NET EF Core app to .NET 9 on Cosmos DB using GitHub Copilot and Agent Kit.
Production patterns for building loosely coupled, event-driven microservices with Cosmos DB Change Feed as the domain event backbone.
Build chat history and semantic cache containers that give AI agents persistent, context-aware memory while cutting tokens and latency.
A decision framework for choosing between the Data Migration Tool, Azure Data Factory, and the Spark connector — plus capacity planning for bulk loads.
Catch live and on-demand sessions from community experts and the Azure Cosmos DB team.
A curated set of links for Azure Cosmos DB, Azure DocumentDB, and the open-source DocumentDB project.
Guidance for building globally distributed apps, tuning performance/cost, and exploring AI + vector search scenarios.
Read the official docs for guidance, tutorials, and reference material.
High-level overview, core concepts, and when to use Cosmos DB.
Run Cosmos DB locally for development and testing.
Learn about vector indexing and vector search for AI/RAG scenarios.
Reliability, security, performance, and cost guidance for production apps.
Patterns and sample content for Azure Cosmos DB.
Samples, tools, and community projects from the Cosmos DB team.
Tutorials, use cases, and event recordings.
Hands-on learning module for building AI-driven apps with Cosmos DB for NoSQL.
Learn about Azure DocumentDB, how it relates to Cosmos DB, and how to migrate workloads.
What Azure DocumentDB is, how it scales, and compatibility details.
Common questions about features, pricing, and how it relates to Cosmos DB.
Track service updates, new features, and notable changes over time.
Compare scaling model, cost model, global distribution, and query focus.
Migration guidance for moving from Cosmos DB for MongoDB (vCore) to Azure DocumentDB.
Explore and run the open-source DocumentDB engine that powers Azure DocumentDB.
Overview of the open-source DocumentDB project and how it works.
Run DocumentDB locally using Docker and connect with psql.
The open-source DocumentDB engine source code (MIT-licensed).
Project homepage for the open-source DocumentDB ecosystem.
This archive collects past Azure Cosmos DB Conf events. Click the links below to open the full playlist, including all on-demand sessions, and watch the live show recordings.
Resources