May 2023 Summaries

The Kodjin FHIR server is an ONC-certified and HIPAA-compliant solution designed for large-scale healthcare systems, handling tens of millions of patient records and thousands of requests per second. Built with a modern tech stack including Rust, Kafka, and Kubernetes, the system utilizes MongoDB as its transactional data store, providing flexible schema and multi-document transactions to ensure data consistency and integrity. Additionally, GridFS is employed for efficient storage and retrieval of terminologies, enhancing the functionality of the Terminology service. The system has demonstrated high performance in various scenarios, including GET by ID, search, and POST operations, with values exceeding 1700 requests per second, showcasing its ability to handle significant workloads and provide timely access to resources.

The Securities and Exchange Commission (SEC) will implement a T+1 settlement cycle, shortening the settlement period from 2 business days to one business day, aiming to address market volatility and reduce credit and settlement risk. Most firms' current back-office operations cannot handle this change due to challenges such as manual processes being under pressure, batch data processing not being feasible, and existing systems having limitations in handling large volumes of trade data. To prepare for T+1, firms should automate manual processes, replace batch processes with real-time event-based processing, and leverage MongoDB's developer data platform to accelerate development and improve operational efficiency. The use of an operational trade store (ODS) can help consolidate transaction data in real-time, while MongoDB's integration capabilities enable the development of AI/ML models to manage trade settlement risk failure, ultimately driving efficiency across the securities market ecosystem.

The MongoDB for VS Code Extension is now generally available, offering developers a unified interface to work with both their application code and data in MongoDB directly from VS Code. The extension provides features such as connecting to MongoDB, data exploration, playbooks, the MongoDB Shell, and integration with Terraform, making it easier for developers to build applications and work with application data in MongoDB. With over 800k installs and an average rating of 4.5 stars, the extension has seen significant growth in adoption since its public preview introduction three years ago, and its popularity continues to grow due to its innovative features and user-friendly interface.

The Certified MongoDB Atlas Connector for Power BI is a certified solution that facilitates real-time insights on MongoDB Atlas data directly in the Power BI interface. This integration bridges the gap between developers and analytics teams, allowing analysts to natively transform, analyze, and share dashboards that incorporate live MongoDB Atlas data. The connector empowers companies to harness the full power of their data by effortlessly modeling document data with native Power Query features and gaining real-time insights on live application data. It also enables cross-source data analysis, empowering users to create comprehensive dashboards that offer valuable insights into their data from multiple sources.

MongoDB is a non-relational database that solves the interoperability puzzle in healthcare by providing document flexibility, scalability, performance, and security features. Its document data model allows for managing complex clinical data with varying levels of detail and granularity, while its horizontal scaling feature enables easy distribution of large datasets across multiple servers and cloud providers. MongoDB's advanced querying capabilities and robust security features, including fine-grained access control and auditing, make it an ideal solution for building a truly interoperable data repository. With its unique approach to data storage and retrieval, MongoDB integrates seamlessly with clinical data repository vendors and enables healthcare providers to own the data layer and leverage any usages from stored data.

At MongoDB, we have made a deep commitment to sustainability and reducing our environmental impact. We have set a goal of achieving net zero emissions by 2030 and have already taken immediate action by investing in hiring a Sustainability Manager and developing carbon reduction strategies. We are working with our cloud partners to reduce our indirect emissions and have partnered with them to achieve cleaner energy sources for our customers, including the construction of a new solar plant in Texas. Our technology has also been re-engineered to reduce power consumption, and we are introducing transparency features to help our customers make more sustainable choices. Additionally, we are making changes in our offices and operations to gain momentum towards our larger net-zero goal.

Aerofiler, a company co-founded by former lawyer Don Nguyen, is developing an AI-powered contract lifecycle management solution to automate manual tasks in the legal profession. The platform digitizes contracts and streamlines processes, allowing lawyers to focus on high-value tasks. Aerofiler's solution is designed to be highly configurable and user-friendly, with features such as AI-powered analytics, smart templates, and real-time collaboration tools. The company uses MongoDB Atlas as its database and has participated in the MongoDB for Startups program, which provides access to resources and support for early-stage startups. Don Nguyen highlights the potential of generative AI in the legal space and is excited about exploring its applications in contract management.

The MongoDB World Tour is Coming to NYC` event is a one-day user conference on all things MongoDB, featuring new product announcements, hands-on workshops, and live sessions on working with MongoDB. The conference aims to cater to the diversity of the MongoDB developer community by covering topics such as data modeling, schema design, app-driven analytics, and more. Attendees will have opportunities to ask experts questions, see live demos, and engage in networking throughout the day. The event is part of a world tour, with stops in major cities around the globe, including Boston, D.C., London, Paris, Milan, and potentially others near attendees' locations. Registration for `MongoDB.local NYC` has opened, offering access to a schedule of events, speaker profiles, and attendee resources.

MongoDB Atlas has expanded globally with the launch of new regions in the Middle East, Europe, and APAC on AWS, bringing availability to 27+ AWS regions worldwide. The UAE region is an AWS Recommended Region with three Availability Zones, offering higher availability and automatic failover capabilities. This expansion provides low-latency performance and data sovereignty requirements for organizations in government, financial services, and utilities in the UAE, as well as customers in EMEA and APAC regions who require data locality. With this launch, MongoDB Atlas is now available on AWS Marketplace for free, making it easier for developers to build high-performance applications with data sovereignty requirements.

Temenos Banking Cloud has achieved a record-breaking 150,000 transactions per second with the help of MongoDB Atlas and Microsoft Azure, demonstrating its robust and scalable platform capable of supporting banks' business models for growth through BaaS or distributing their products themselves. The company's cloud-first, microservices-based infrastructure built with MongoDB provides flexibility and delivers significant performance improvements, enabling financial institutions to embed Temenos components in their own cloud deployments or through a full banking as a service experience. Temenos has partnered with MongoDB to investigate the path toward data in a componentized world and has made significant engineering efforts to decapsulate the data layer, making JSON formatted data available to its user community, which is aligned with MongoDB's document data model. The partnership enables workload isolation with MongoDB, allowing for unprecedented performance and scalability. Temenos' adoption of MongoDB demonstrates significant value in moving from legacy database technology, enabling faster innovation, eliminating technical debt, and simplifying the landscape for financial institutions and their software vendors.

MongoDB Atlas is a multi-cloud data platform that combines transactional and analytical processing in a unified API, allowing developers to build intelligent software applications with real-time analytics capabilities. The platform supports various levels of application intelligence, from querying and searching records to aggregating and transforming data through to feeding rules-based engines and machine learning models. By integrating native analytics functionality into applications, MongoDB Atlas enables organizations to capture opportunities presented by application-driven analytics, driving operational and analytical workloads to converge. This shift is driven by the growth in intelligent applications infused with analytic processing, leading companies like Bosch Global Software, Marks and Spencer, and Toyota Financial Services to adopt MongoDB Atlas for their digital transformation initiatives. The platform automates data ingestion, processing, and storage, maximizing efficiency, and provides a range of resources, including tutorials, sample code, and documentation, to help developers get started with building intelligent apps.

In an era where digital security is paramount, MongoDB's integration with Google Cloud's Private Service Connect (PSC) provides a robust solution for secure data access without exposing traffic to the public internet. PSC simplifies the secure and private consumption of services by allowing private connectivity between MongoDB and Google Cloud, reducing the need for complex virtual private cloud peering. Launched in November 2021, this feature enables one-way communication with MongoDB and supports multi-region and multi-cloud deployments for high availability and seamless access. Alongside this technological advancement, MongoDB announced a significant leadership transition with Dev Ittycheria stepping down as CEO and Chirantan “CJ” Desai taking over. Desai brings a wealth of experience from ServiceNow and Cloudflare, positioning MongoDB for its next growth phase, dubbed MongoDB 3.0, amidst a landscape rich with AI and data-intensive applications. Dev Ittycheria will remain on the board to ensure a smooth transition, expressing confidence in MongoDB's future trajectory and reaffirming the company's strategy and robust market positioning.

MongoDB Atlas Charts has introduced three updates to further streamline the data visualization experience: suggested charts, more contextual help in the chart builder, and automatic activation of Charts for all project members. The new suggested charts feature allows users to quickly build visualizations by selecting an automatically suggested chart, while the help button provides helpful documentation articles to educate users on key chart building topics. Additionally, automatic Charts activation simplifies the process of setting up data visualization in Atlas, allowing users to seamlessly navigate into the chart builder from collections and other areas of the Atlas UI. These updates aim to further optimize the overall Charts experience and simplify visualizing data across teams.

AWS has recognized MongoDB as its ASEAN Global Software Partner of the Year, a prestigious award that acknowledges outstanding achievements in driving innovation and building solutions with customers. The recognition is based on MongoDB's impressive performance across various criteria, including joint wins and revenue contribution, as well as its successful use of AWS Marketplace to scale its channel strategy. This achievement highlights MongoDB's commitment to enabling customers to address industry needs and drive positive business outcomes through the latest cloud technologies.

As the Director of Business Systems at MongoDB, Devika Saharya oversees two teams that work to improve efficiency and effectiveness within the company. The ERP and RPA teams are responsible for managing various tools and automating repetitive processes, respectively, with a focus on saving time and improving productivity. Their proactive approach to communication and collaboration has allowed them to anticipate and prepare for potential impacts on their systems, resulting in smoother processes and more effective outcomes. Devika's leadership style is centered on fostering a supportive and collaborative environment that encourages growth and empowers team members to achieve their full potential. As an Asian American woman in tech, she has faced challenges but persevered, finding mentorship and support within her community and at MongoDB, which has been instrumental in her career success. Her experiences have made her identity and background a valuable asset in her role, providing unique insights and perspectives that benefit the company's growth and competitiveness.

MongoDB Atlas and DataDog work together to enable automation, elasticity, and scalability of modern infrastructure, allowing users to make informed decisions with real-time information. The new DataDog metrics tagging feature in MongoDB's integration allows users to organize and categorize their metrics using custom defined labels, which can be applied to tags on the DataDog metrics object. This enables filtering, grouping, and aggregating metrics in various ways, as well as setting alerts and dashboards based on tags. The feature is highly flexible and customizable, allowing organizations to adapt it to their specific needs and make data-driven decisions to improve application performance and infrastructure availability.