Harness the power of MongoDB Atlas and Amazon Web Serviceโs (AWS) to build sophisticated, enterprise-ready intelligent applications. Integrate AWS with the versatility of a document model and native Vector Search to ensure scalability, and security.
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Enhancing Developer Experience with AWS and MongoDB: Insights from Igor Alekseev
โ ย Try MongoDB 8.0 โย https://mdb.link/dG7t8KCP-as โ ย Sign-up for a free cluster โย https://mdb.link/dG7t8KCP-as-free - In this episode, we catch up with Igor, Principal Partner Solutions Architect from AWS, as he shares insights on the collaboration between AWS and MongoDB. With a focus on enhancing developer experiences, we discuss the latest advancements in Amazon Q Developer, AI-driven migration and modernization tools, and the integration of MongoDB Atlas with AWS services.Nov 11, 2024 | 14 min
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Integrate Atlas Application Services Logs Into Datadog on AWS
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Audio Find - Atlas Vector Search for Audio
Explore the creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding.Sep 09, 2024
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Interact With MongoDB in an AWS Lambda Function Using Go
Learn how to create a serverless function using the Go programming language. That function will connect to and query MongoDB Atlas in an efficient manner.
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How to Build Serverless Applications with SST and MongoDB Atlas
The developer experience is at a point where itโs easy to build full-stack applications with serverless. Let's look at a new way of building serverless apps.
Aug 29, 2024
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Real-time Data Architectures With MongoDB Cloud Manager and Verizon 5G Edge
Bringing MongoDB to the edge allows you to maintain the low latency characteristics of your application without sacrificing access to data.
Aug 28, 2024
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Tutorial
The Great Continuous Migration: CDC Jobs With Confluent Cloud and Relational Migrator
This tutorial explains how to configure CDC jobs on your relational data from MySQL Workbench to MongoDB Atlas using MongoDB Relational Migrator and Confluent Cloud.
Aug 23, 2024
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Building AI Services with FastAPI & Bedrock
โ MongoDB Atlas account โ https://mdb.link/KL8CAm6Eoks-register โ Get help on our Community Forums โ https://mdb.link/KL8CAm6Eoks-forums โ Writen article โ https://mdb.link/KL8CAm6Eoks-article - We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications.Aug 15, 2024
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Getting Started With MongoDB Atlas Serverless, AWS CDK, and AWS Serverless Computing
Build an app that aggregates sales data stored in an Atlas serverless instance using AWS Lambda and Amazon API Gateway to create a RESTful API interface.
Aug 09, 2024
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Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock
โ Sign-up for a free cluster at โ https://mdb.link/LbjD4UMw2JQ-register โ Get help on our Community Forums โ https://mdb.link/LbjD4UMw2JQ-forums - MongoDB Atlas and Amazon Bedrock together offer a seamless and secure way to bring real-time data to gen AI applications and help startups move from ideation to scale. In this session, weโll give a brief overview of the MongoDB Atlas and Amazon Bedrock joint solution which gives startups who want to easily build applications with generative AI an โeasy buttonโ for implementing RAG with Atlas Vector Search. Our local experts will also answer questions. Users can walk away expecting to know the basics of how to build applications that: Leverage unstructured data for valuable insights Deliver personalized, gen AI-powered experiences Provide intelligent, context-aware search and recommendation features Join MongoDB for Startups and AWS Activate for access to free credits, technical guidance, and more.Jul 19, 2024
Video
Unlocking AI Potential with AWS
โ Sign-up for a free cluster at โ https://mdb.link/YRW6W986jz4-register โ Get help on our Community Forums โ https://mdb.link/YRW6W986jz4-forums - Join Jesse Hall as he talks with Igor Alekseev from AWS about the latest in AI technology and AWS's innovative solutions. Igor, a partner solutions architect at AWS, delves into the details of Bedrock and its new capabilities, including automated embedding generation and integration with MongoDB. Learn about the practical applications of these technologies, the importance of model optimization, and the future of AI in this informative discussion. Whether you're a developer or a tech enthusiast, this episode provides valuable insights into the evolving world of AI.
Jul 11, 2024