이마고웍스, MongoDB Atlas로 전 세계 치과 및 치기공소의 디지털 업무 혁신을 가져오다

MongoDB
August 25, 2023

인공지능(AI) 기반 디지털 치과 솔루션 기업 이마고웍스(Imagoworks)는 기존 수작업 위주로 이루어지던 치과 치료용 기공물 제작을 디지털 기반으로 자동화해 치과 의사 및 기공사들의 비용과 시간을 효율적으로 줄이고 편의성을 제공합니다. 이마고웍스는 3D 스캐너와 클라우드 기반의 인공지능 기술을 활용해 구강 스캔 데이터를 안정적으로 빠르게 처리하고, 환자의 치아 구조에 대한 3D 모델을 자동 추출해 보철물과 교정장치를 손쉽게 디자인 및 제작하고 있습니다.

특히 이마고웍스는 개발자 데이터 플랫폼인 MongoDB Atlas를 활용한 클라우드 기반의 구독 모델 솔루션을 바탕으로 치과와 기공사들이 원활하게 협업하며 국경을 넘어 비즈니스를 확장할 수 있도록 지원하고 있습니다.

이마고웍스는 데이터 모델의 유연성과 빠른 모델 변경에 대응하기 위해 도큐먼트 모델인 MongoDB를 선택했습니다. 이를 통해 신규 기능 추가 시 정보 수정의 번거로움이 낮은 NoSQL을 활용해 더욱 효율적인 서비스를 개발하고, 글로벌 서비스를 위한 최적의 레이턴시를 제공하도록 환경을 구성했습니다. 또한 MongoDB의 Read-Only 노드와 글로벌 클러스터(Global Cluster) 기능을 통해 지역별 빠른 데이터 접근과 분산된 데이터베이스를 제공하고 있으며, MongoDB Atlas에서 클러스터 추가 및 삭제와 같은 기능을 손쉽게 조작할 수 있어 관리의 편리성을 높이고 있습니다.

또한 이마고웍스는 MongoDB가 제공하는 자유로운 개발 환경에서 MongoDB ERD 규격을 활용해 필드 변경과 확장을 효율적으로 처리할 수 있으며, MongoDB Atlas의 강력한 백업 및 이전 시점 복원 기능을 통해 데이터의 안정성과 신뢰성을 보장받고 있습니다. 데이터 분석과 비즈니스 방향 결정 시에는 Analytics 노드를 사용해 실제 서비스에 영향을 주지 않고 데이터를 관리 및 추출하고 있습니다.

이마고웍스는 마이크로소프트 애저(Azure)에서 MongoDB를 구동해 전 세계 11개의 리전에서 서비스를 배포하고 지역별 빠른 접근성을 제공하고 있습니다. 여러 리전의 노드를 연결해 하나의 DB처럼 사용할 수 있게끔 도와주는 기능인 MongoDB 글로벌 클러스터를 통해, 각 지역에 맞게 노드를 배치하고 CRUD(Create, Read, Update, Delete) 작업을 수행하며 데이터 관련 규제를 만족하는 동시에 데이터를 간편하게 관리하고 있습니다. 또한 하나의 엔드포인트에서 각 리전에 분산된 데이터에 접근하며 효율성을 극대화하고, 기공사가 파일을 편리하게 받고 모델링해 병원에서 신속하게 활용할 수 있는 최적의 환경을 제공하고 있습니다.

이 밖에도 이마고웍스는 MongoDB를 통해 가상화, 비주얼 리커버리(Visual Recovery), 시큐리티 데이터베이스 매니지먼트(Security Database Management) 등 다양한 영역을 커버하며, 전 세계 11개 리전에서 모니터링 및 자동화된 대응 플로우를 구축했습니다. 앞으로도 이마고웍스는 모델 고도화에 따라 다양해지는 요구사항에 빠르고 유연하게 대응하기 위해 MongoDB와 지속적으로 협업해 나갈 예정입니다.

이마고웍스를 위한 MongoDB의 지원에 대해 보다 자세한 내용은 여기에서 확인하실 수 있습니다.

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Boosting Performance and Insights with MongoDB Atlas and New Relic

In order to keep up with the demands of the modern business landscape, organizations must prioritize monitoring and optimizing application performance. Today, we're excited to announce a powerful collaboration between MongoDB Atlas, the leading database-as-a-service platform, and New Relic , the renowned monitoring and observability solution. This integration enables users to seamlessly monitor, analyze, and optimize their MongoDB deployments with efficiency and ease. Observability to ensure availability and uptime Monitoring a MongoDB Atlas deployment is now simpler than ever with the integration of New Relic. By connecting the two platforms, users can effortlessly monitor the performance of their MongoDB metrics, such as latency, throughput, and error rates, directly within the New Relic user interface. With real-time visibility into the health and performance of their databases, developers, and operations teams can quickly identify potential bottlenecks and proactively address issues before they impact end-users. Similarly, administrators can get an immediate high-level view of the health and availability of their MongoDB databases. Intelligent alerting and notifications The combination of MongoDB Atlas and New Relic empowers users to set up intelligent alerts and notifications tailored to their specific business requirements. Leveraging New Relic's alerting capabilities, users can create custom alert policies based on performance metrics and query patterns. Whether it's a sudden increase in response times or an unexpected spike in query access patterns, teams can receive timely notifications via email, Slack, or other preferred channels, enabling them to take immediate action. Powerful dashboarding and reporting Users can also take advantage of comprehensive dashboarding and reporting capabilities. With customizable dashboards and rich visualizations, users can gain real-time insights into the performance of their MongoDB clusters. Additionally, New Relic's reporting tools enable teams to generate detailed reports on database performance, query analytics, and overall system health, empowering them to make data-driven decisions and track improvements over time. By combining the strengths of these two powerful platforms, users can now unlock a new level of control and efficiency in managing their MongoDB databases. From streamlined monitoring and analysis to improved troubleshooting and enhanced collaboration, this integration leads organizations to proactively optimize their applications, ensure scalability, and deliver exceptional user experiences. With MongoDB Atlas and New Relic working cohesively, businesses can stay ahead in today's rapidly evolving digital landscape, where performance and efficiency are key differentiators. If you’d like to see the MongoDB Atlas and New Relic integration in action, sign up for MongoDB Atlas , our cloud database service, and learn more about New Relic’s monitoring and observability capabilities .

August 24, 2023
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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

November 21, 2024