Resources | MongoDB

Building Scalable AI Apps on Azure

21st May | 11 - 12 p.m. AEST Generative AI is transforming industries, but building secure, scalable AI applications remains complex. Join Avanade and MongoDB for a one-hour webinar on designing and deploying production-ready AI apps on Microsoft Azure. In this one-hour webinar, you will: Gain perspectives on the future trajectory of artificial intelligence, the significance of governance, and building appropriate foundations with an AI-first mindset. Learn how Avanade can bring its expertise to establish a robust platform. Gain best practices from Avanade experts on creating a secure, resilient, and high-performant AI and Data platform on Azure. See how MongoDB integrates with Microsoft’s governance and compliance capabilities ensuring enterprise-grade trust, compliance, and reliability.

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Cluster Rightsizing 101: Stop Over-Provisioning Now

6th May | 2 p.m. SGT Most teams default to "adding a bigger box" to avoid adverse incidents, but over-provisioning is the silent budget killer of modern infrastructure. If your normalized system CPU is consistently under 30%, you aren't just buying peace of mind—you’re paying for resources you don't use. This webinar provides a technical framework to move beyond guesswork and align your MongoDB Atlas cluster tiers with your actual workload requirements. What you will learn: How to identify underutilized clusters by analyzing normalized system CPU, memory usage, and WiredTiger cache pressure The pre-downgrade checklist every infrastructure owner needs to ensure a safe transition without impacting application performance When to rely on Atlas auto-scaling and how to set the right limits to maintain repeatable controls Strategies for managing "hot" shards and geo-local data residency requirements in complex, multi-region deployments Join us to transform your infrastructure from a cost center into a lean, high-performance asset. Our expert presenters will be available for a live Q&A session to answer your specific architectural questions. Even if you cannot join us live, register anyway—we will automatically send you a link to the recorded session and the full slide deck to watch on-demand at your convenience.

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From Data Silos to Real-Time Intelligence: Unlocking Revenue and Reducing Fraud in Telco

June 2 | 10 a.m. SAST Telecom operators sit on vast volumes of customer, usage, and network data, but siloed systems and batch processing often prevent them from turning that data into real business value. During this live webinar on June 2nd, MongoDB and Codeboard will explore how telcos can build a real-time data layer that unlocks new revenue streams and reduces fraud losses. We’ll cover common legacy stack challenges, proven MongoDB architecture patterns for real-time decisioning at scale, and how our joint solution accelerates key use cases like real-time charging, contextual next-best-offer, and fraud detection. We’ll close with practical steps to modernize telco data architectures, without a risky “big bang” transformation. Speakers: Johann Thooris , Senior Partner Solution Architect Vikas Shetty , Senior Partner Solution Architect, MongoDB Anand Tharanipathy , CEO, Codeboard

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Beyond the Border: Data Sovereignty and Strategic Risk Management

20th May | 10 a.m. BST Data sovereignty is frequently approached as a complex political mandate, but for enterprise leaders, adopting a single-focus mandate can unintentionally create risk. This webinar, Beyond the Border , moves to redefine sovereignty from a limiting compliance exercise to a strategic, measurable component of holistic risk management . We will explore the inherent risks of a narrow approach, including the "Fortress Fallacy". The mistaken assumption that local storage guarantees total safety. This session offers a balanced roadmap for data sovereignty planning while considering mature security posture. Attendees will discover how a wider, layered cybersecurity approach enables key strategic benefits, including Strategic Resilience through diversified infrastructure and Accelerated Innovation by integrating localized requirements with cutting-edge global capabilities. Finally, we’ll discover how MongoDB's layered capabilities empower you to manage localized risk variables effectively while retaining the benefits of global technology. Learn how to meet your organization exactly where it is on its needs journey, transforming compliance into a sustainable, strategic advantage.

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Build and Learn: Masterclass for Architecting AI with MongoDB

Build and Learn: The Masterclass Series for Architecting AI with MongoDB Master the architecture of the next generation of applications. Join our series of hands-on workshops to move from AI fundamentals to deploying sophisticated, production-grade agentic systems on a unified data platform. Workshop #1: Vector Search: Beginner to Pro May 21, 10 a.m. BST Supercharge your applications by unlocking the power of semantic search. We demystify core vector concepts and explore how to perform and optimize queries within MongoDB. Understand embeddings and intelligent semantic search Optimize performance with pre-filtering and vector quantization Apply vector search to real-world application scenarios Workshop #2: Building RAG Apps Using MongoDB June 4, 10 a.m. BST General LLMs lack your organization’s unique context. Learn to bridge that gap by building an end-to-end retrieval-augmented generation (RAG) system from the ground up. Master RAG foundations including chunking and embedding Build a functional chatbot using open-source LLMs Use MongoDB as a unified operational store, vector store, and memory provider Workshop #3: The A to Z of Building AI Agents June 18, 10 a.m. BST Move beyond simple chat and enter the year of the agent. Learn the reasoning, tools, and memory architectures required to build autonomous, learning agents. Explore agent architectures and production-grade workflows Build a controllable MongoDB learning agent Implement reliable workflows using LangGraph Workshop #4: Designing Memory Systems for AI Agents July 2, 10 a.m. BST An agent is only as good as its memory. Learn a practical framework for architecting memory systems that maintain context, learn from experience, and handle long-running tasks. Identify storage patterns for persisting and structuring memories Implement retrieval strategies using metadata and recency signals Manage the memory lifecycle to maintain system performance Reserve your seat for the full series! Don’t miss this opportunity to have your technical questions answered by our expert presenters. Even if you cannot attend the live sessions, register anyway to receive the full recording and resource kit for each workshop on-demand.

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Build & Learn Workshop Series: Master Java AI Development with MongoDB and Spring AI

The transition from traditional, rigid database schemas to AI-powered application development requires a new set of skills and a flexible architectural foundation. This six-part, hands-on workshop series is designed to take software developers and architects through the full lifecycle of modern application building—from the core fundamentals of the document model to the orchestration of intelligent AI agents. Throughout this series, you will gain hands-on experience using Java and Spring AI with MongoDB Atlas. You’ll learn how to translate SQL knowledge into powerful MongoDB queries, leverage the aggregation pipeline for complex data processing, and implement advanced AI patterns like retrieval-augmented generation (RAG). Workshop #1: MongoDB Overview Explore the architectural strengths of the document model, dynamic schema design, and distributed architecture through real-world examples. Watch Webinar #1 on-demand now Workshop #2: MongoDB CRUD Operations in Java May 6, 11 a.m. ET Learn to perform create, read, update, and delete (CRUD) operations by translating SQL concepts into the Java-based MongoDB Query API. Workshop #3: Aggregation Framework with Java May 20, 11 a.m. ET Master the aggregation pipeline framework to perform complex data filtering, grouping, and transformations with a Spring Data spin. Workshop #4: Vector Search with Spring AI June 3, 11 a.m. ET Build intelligent search experiences using MongoDB Atlas Vector Search, covering embedding generation and vector indexing. Workshop #5: RAG with MongoDB and Spring AI June 17, 11 a.m. ET Discover how to build RAG applications, optimize retrieval workflows, and utilize Spring AI Advisors to enhance LLM-powered apps. Workshop #6: AI Agents with MongoDB and Spring AI July 1, 11 a.m. ET Understand orchestration and agent memory while learning how to integrate AI models with real-time databases. Join us to level up your knowledge and gain the proficiency needed to build the next generation of AI applications. Our expert presenters will be available for a live Q&A during each session to address your specific technical questions. If you cannot attend a live session, register anyway to receive the link to watch the recorded session on-demand.

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Intro to MongoDB 3-Part Webinar series

Ready to elevate your database game? Register for the "Intro to MongoDB Series" and unlock the full potential of MongoDB’s modern data platform. This three-part webinar series is your essential guide to mastering MongoDB, from initial deployment to advanced querying and data modeling. Webinar #1: Intro to MongoDB Join Senior Developer Advocate Jesse Hall as he demystifies MongoDB and showcases the unparalleled advantages of the document data model. This session is your fast track to getting up and running with MongoDB Atlas. In this webinar, you’ll learn how to: Create your first cluster, add an IP address, and set up a database user. Load sample data using a Next.js e-commerce demo app. Connect to your database effortlessly. Watch Webinar #1 on-demand now Webinar #2: Intro to Data Modeling Ever wondered how to perfectly design your data for an application? This webinar tackles that frequently asked question head-on. We’ll explore the crucial considerations for effective data modeling, ensuring your application performs at its peak. You will learn: The key differences in data modeling between MongoDB and RDBMS. Essential considerations for modeling data specifically with MongoDB. How to supercharge the document model using powerful schema design patterns. Watch Webinar #2 on-demand now Webinar #3: Intro to Queries and Aggregation Unlock the true power of your data with the MongoDB Query API and the Aggregation Pipeline. As your data evolves in complexity, these high-precision tools become indispensable for intelligently retrieving, processing, and analyzing your rich JSON documents. We'll cover: Best practices you can leverage to avoid commonly observed anti-patterns Optimizations MongoDB performs during aggregation pipeline parsing. Tips and tricks to significantly improve your query performance. Watch Webinar #3 on-demand now

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The A to Z of Building AI Agents

Aug 28, 2025 12 - 2 p.m. ET 2025 is the year of AI agents, and you don’t want to miss out! In this two-hour workshop, you’ll learn the core concepts behind AI agents, like reasoning, tools, and memory. We’ll cover different agent architectures, and then you'll get hands-on building a MongoDB learning agent. You'll get all the resources you need, including Jupyter Notebook templates with pseudocode, to guide you through the practical exercises. Here's what you'll take away: Master the foundational concepts of AI agents, including reasoning, memory, and tools. Learn to build production-grade agentic applications using MongoDB. Develop controllable, reliable agentic workflows with LangGraph. Plus, when you complete the workshop, you'll earn a MongoDB skills badge to showcase your new expertise! In today’s rapidly evolving technological landscape, staying ahead means embracing the power of AI. Equip yourself with the essential knowledge and practical skills to build the next generation of intelligent applications. Register now by filling out the form to secure your spot! Next up Enrich Your Applications with AI: A Hands-On Guide to MongoDB Atlas Vector Search - July 31 Building RAG Application Using MongoDB - Aug 14

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People Who Ship Ep 2: From prototype to production

Hear from developers shipping production-grade AI applications built on MongoDB. This episode features Noam Rubin, a software engineer on Vanta’s AI platform team. Check out the recent episode of our “People Who Ship” series, where you'll hear from developers shipping production-grade AI applications with MongoDB. In this episode, you will hear from Noam Rubin, a software engineer on the AI platform team at Vanta. Noam will share invaluable insights into what it takes for his team to take gen AI features from prototype to production at Vanta. You will learn: The importance of experimentation What makes a good prototype How to integrate prototypes into real products The lifecycle of an AI feature What’s hard about building AI agents Register now for real-world insights from teams using AI to solve real business challenges. No hype—just actionable knowledge you can apply to your own AI projects.

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Intro to MongoDB 3-Part Webinar series

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Intro to MongoDB Search on Atlas Webinar HK

MongoDB Search on Atlas combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. This webinar will show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities.

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Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure

Learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure by watching our on-demand webinar. In this session, MongoDB and Microsoft experts explore how Atlas on Azure powers the next generation of AI with the use of RAG, machine learning, and agentic systems. Agentic AI is reshaping the future of application development, enabling systems to reason, act autonomously, and evolve in real time. But success with agentic systems requires a data foundation that is secure, scalable, and flexible enough to handle hybrid search, vector embeddings, and transactional workloads all in one. Watch “From Vectors to Value: Why MongoDB Atlas on Azure for Agentic Systems” to learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure. Topics covered include: Building powerful agentic systems with Azure AI Foundry and MongoDB’s native support for vector search, hybrid search, and real-time reasoning. Optimizing storage and compute wth Atlas Search Nodes on Atlas for gen AI-specific workloads. Deploying securely with deep Azure integration and industry-leading encryption capabilities Watch the session at your convenience and find out how MongoDB Atlas on Azure can take you from pilot to production faster, with the flexibility to adapt, the security to scale, and the intelligence to act.

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