Boosting Performance and Insights with MongoDB Atlas and New Relic

Frank Sun
August 24, 2023
#Atlas

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.

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Powerful Generative AI Innovation Accelerates Discovery of New Molecules

Since 2018, MongoDB and Google Cloud have collaborated to revolutionize the way companies interact with their data, providing an unrivaled experience in Google Cloud regions around the world through a strategic partnership. By delivering MongoDB's popular Atlas developer data platform and deep integrations with Google's data cloud to customers, the two companies are empowering businesses to create applications at scale with unprecedented data richness, all available through the Google Cloud Marketplace . This strategic partnership is bearing fruit. In the chemical industry, for example, users are now combining AI and data mining techniques using MongoDB Atlas with Google Clouds Foundation Models to accelerate the discovery of new molecules and make the process more environmentally friendly. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. The next big step in generative AI Developers can experience the powerful capabilities of MongoDB Atlas Vector Search and Google Cloud foundation models to quickly and easily build applications with AI-powered features to enable highly personalized and engaging end-user experiences. Vertex AI provides the text embedding API to generate embeddings from customer data stored in MongoDB Atlas. Atlas Vector Search is a fully managed service that simplifies the process of effectively indexing this high-dimensional embedding data within MongoDB and being able to perform fast vector similarity searches. This combined with Google’s PaLM can be used to create advanced functionality like semantic search, classification, outlier detection, AI-powered chatbots, and text summarization - enabling developers to quickly build and scale next-generation applications. With Atlas Vector Search, developers can build intelligent applications powered by generative AI over any type of data. MongoDB Atlas Vector search combined with Google Cloud foundation models integrates the operational database, vector search, and LLMs into a single, unified, and fully managed platform. You can find out more about using Vector Search with Google Cloud foundation models from our information hub . Accelerating the discovery of new molecules with generative AI Every day brings new innovations in generative AI, and Vector Search is no exception. Developers are now using Google Cloud foundation models and MongoDB Vector Search to bring inventive applications to growing industries. In one example, MongoDB Partner Exafluence is utilizing AI and data mining techniques with MongoDB Atlas Vector Search and foundation models from Google Cloud to help joint customer Anupam Rasayan discover new molecules. India-based Anupam Rasayan is one of the leading companies engaged in the custom synthesis and manufacturing of specialty chemicals. The new platform, called Exf ChemXpert, includes configurable components for a wide variety of applications in the chemical industry, such as property prediction to help design new molecules, chemical reaction optimization to make developing molecules more environmentally friendly, and novel drug discovery to develop new treatments in the pharmaceutical industry. The home page for EXF ChemXpert, a one-stop platform that's accelerating the discovery of new molecules According to Anand Desai, Managing Director of Anupam Rasayan, this powerful new integration shows great promise. "In the world of chemistry, LLMs are potential game-changers for day-to-day product research and optimization of reaction mechanisms and operations," Desai said. "It can speed up new product and process innovations, reduce usage factors and costs, and push R&D to new heights beyond conventional methods. This transformation driven by new generative AI-powered tools will bring in a shift from conventional perspectives and benefit the chemical industry at large." In the Retrosynthesis Planner, the user asks a question about how to synthesize the chemical, acrylamide. Next steps Generative AI represents a significant opportunity for developers to create new applications and experiences and to add real business value for customers. For more about building applications on MongoDB Atlas with Google Cloud foundation models, including demos where you can see generative AI in action with MongoDB Atlas on Google Cloud, visit this special information hub . To get started running MongoDB on Google Cloud, visit the Google Marketplace .

August 24, 2023

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Announcing DirectQuery Support for the MongoDB Atlas Connector for Power BI

Last year, we introduced the MongoDB Atlas Power BI Connector , a certified solution that has transformed how businesses gain real-time insights from their MongoDB Atlas data using their familiar Microsoft Power BI interface. Today, we’re excited to announce a significant enhancement to this integration: the introduction of DirectQuery support. DirectQuery mode provides a direct connection to your MongoDB Atlas database, allowing Power BI to query data in real-time. This means that your Power BI visualizations and reports will always reflect the latest data without importing and storing data within Power BI. This is especially beneficial for analyzing large datasets where up-to-date information is crucial, ensuring decisions are made efficiently without losing performance due to repetitive data imports and storage complexities. How DirectQuery in MongoDB Atlas Power BI Connector works: The Power BI Connector is supported through MongoDB’s Atlas SQL Interface , which is easily enabled from the Atlas console. Atlas SQL, powered by Atlas Data Federation , allows you to integrate data across sources and apply transformations directly, enhancing your analytics. Once enabled, you’ll receive a SQL Endpoint or URL to input into your MongoDB Atlas SQL Connection Dialog within Power BI Desktop. Here, you can choose between two connectivity modes: Import or DirectQuery. Once connected through DirectQuery, Query folding takes place with Power Query , which is how data retrieval and transformation of source data is optimized. You can also achieve data transformation using a SQL Statement, either with the SQL Statement option in the Atlas SQL Interface or within the M Code script accessed via the Power Query Advanced Editor. After your data is transformed and ready for analysis, start building reports with your Atlas data within the Power BI Desktop! Then, simply save, publish, and distribute within the Power BI online app, which is now part of the Microsoft Fabric platform. Watch our comprehensive tutorial below covering how to connect your Atlas data to Power BI , control SQL schemas in Atlas, and use DirectQuery to gain real-time access to your data for business insights. Power BI Connector for MongoDB Atlas is a Microsoft-certified solution. It not only supports the advanced capabilities of DirectQuery but also continues to offer Import Mode for scenarios where data volume is manageable and detailed data modeling is preferred. Whether you’re analyzing real-time data streams or creating comprehensive reports, the Atlas Power BI Connector adapts to your needs, ensuring your business leverages the full power of MongoDB Atlas. DirectQuery Support is available now and can be accessed by updating your existing MongoDB Atlas Power BI Connector or downloading it here . Start transforming your data analysis and making more informed decisions with real-time Atlas data. Log in and activate the Atlas SQL Interface to try out the Atlas Power BI Connector ! If you are new to Atlas or Power BI, get started for free today on Azure Marketplace or Power BI Desktop .

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