T-6: MongoDB World's Give Back Week

Dj Walker-Morgan
May 7, 2019 | Updated: July 3, 2019
#MongoDB World 2019

With six weeks to go before MongoDB World 2019, learn how you could be giving to a good cause when you buy your pass this week, get ready for the next weekly challenge, and catch up with the latest talks that have made it into the schedule.

Give Back Week

If you haven’t registered for MongoDB World, the bad news is that you’ve missed the early bird rates. The good news is that if you register this week, you’ll get a discounted ticket and 10% of your ticket price will be donated to Black Girls Code.

That means you get to go to MongoDB World’s three days of information rich talks, sessions and events for less and you get to help fund an organisation dedicated to empowering girls of color between 7 and 17 to become STEM innovators, community leaders and future builders, all through exposing them to computer science and technology.

Head over to the MongoDB World site and register; the discount is automatically applied to all types of ticket. The donation to Black Girls Code is based on that discounted price.

Challenge Update

The first week of Eliot’s MongoDB World Weekly Challenge was a great success - you can read up on how the challenge was solved in this post - Solving The Aggregation Rock Star Challenge. If you get over to the challenge's web site you’ll see the next challenge is tomorrow and involves charting a holiday for engineers.

Talks Talk

There’s still talks being added to the schedule as we finalise speakers and subjects.

Starting up: If you are looking for a quick introduction to the world of MongoDB, check out Don't Panic - The Hitchhiker's Guide to the MongoDB Galaxy, designed specifically to get you started. If you’re looking to get started with the official MongoDB Go driver, there’s Get Going: An Introduction to the Official MongoDB Go Driver to jump start your development.
Scaling up: If you are working at scale, you may want to hear Sharding: Stories From the Field or look at how MongoDB Cluster Design: From Redundancy to GDPR can help you to build out a cluster that suits your needs.
Experience: Talking about real world experience, there’s The Journey of Migration from Oracle to MongoDB at Rakuten and MongoDB Implementation at T-Mobile, where MongoDB users are talking about how they use the database.
Education: MongoDB can both power learning platforms and be taught on them. Learn how in A Tale of Two Use Cases: Innovative MongoDB Solutions for Code Schools.

That's it for T-6, the countdown to MongoDB World 2019 continues with T-5 next week!

← Previous

Solving The Aggregation Rock Star Challenge

The first of Eliot's MongoDB World Weekly Challenges was an out of this world challenge to analyse the records of meteorite impacts. Even if you didn't do the challenge (there's one every Wednesday up to MongoDB World), you can still be a winner because we're going to show you how to get the solution.

May 7, 2019

Next →

How Edenlab Built a High-Load, Low-Code FHIR Server to Deliver Healthcare for 40 Million Plus Patients

The Kodjin FHIR server has speed and scale in its DNA. Edenlab, the Ukrainian company behind Kodjin , built our original FHIR solution to digitize and service the entire Ukrainian national health system. The learnings and technologies from that project informed our development of the Kodjin FHIR server. At Edenlab, we have always been driven by our passion for building solutions that excel in speed and scale. With Kodjin, we have embraced a modern tech stack to deliver unparalleled performance that can handle the demands of large-scale healthcare systems, providing efficient data management and seamless interoperability. Eugene Yesakov, Solution Architect, Author of Kodjin Built for speed and scale While most healthcare projects involve handling large volumes of data, including patient records, medical images, and sensor data, the Kodjin FHIR server is based on a system developed to handle tens of millions of patient records and thousands of requests per second, to ensure timely access and efficient decision-making for a population of over 40 million people. And all of this information had to be processed and exchanged in real-time or near real-time, without delays or bottlenecks. This article will explore some of the architectural decisions the Edenlab team took when building Kodjin, specifically the role MongoDB played in enhancing performance and ensuring scalability. We will examine the benefits of leveraging MongoDB's scalability, flexibility, and robust querying capabilities, as well as its ability to handle the increasing velocity and volume of healthcare data without compromising performance. About Kodjin FHIR server Kodjin is an ONC-certified and HIPAA-compliant FHIR Server that offers hassle-free healthcare data management. It has been designed to meet the growing demands of healthcare projects, allowing for the efficient handling of increasing data volumes and concurrent requests. Its architecture, built on a horizontally scalable microservices approach, utilizes cutting-edge technologies such as the Rust programming language, MongoDB, ElasticSearch, Kafka, and Kubernetes. These technologies enable Kodjin to provide users with a low-code approach while harnessing the full potential of the FHIR specification. A deeper dive into the architecture approach - the role of MongoDB in Kodjin When deciding on the technology stack for the Kodjin FHIR Server, the Edenlab team knew that a document database would be required to serve as a transactional data store. In an FHIR Server, a transactional data store ensures that data operations occur in an atomic and consistent manner, allowing for the integrity and reliability of the data. Document databases are well-suited for this purpose as they provide a flexible schema and allow for storing complex data structures, such as those found in FHIR data. FHIR resources are represented in a hierarchical structure and can be quite intricate, with nested elements and relationships. Document databases, like MongoDB, excel at handling such complex and hierarchical data structures, making them an ideal choice for storing FHIR data. In addition to supporting document storage, the Edenlab team needed the chosen database to provide transactional capabilities for FHIR data operations. FHIR transactions, which encompass a set of related data operations that should either succeed or fail as a whole, are essential for maintaining data consistency and integrity. They can also be used to roll back changes if any part of the transaction fails. MongoDB provides support for multi-document transactions , enabling atomic operations across multiple documents within a single transaction. This aligns well with the transactional requirements of FHIR data and ensures data consistency in Kodjin. Implementation of GridFS as a storage for the terminologies in Terminology service Terminology service plays a vital role in FHIR projects, requiring a reliable and efficient storage solution for terminologies used. Kodjin employs GridFS , a file system within MongoDB designed for storing large files, which makes it ideal to handle terminologies. GridFS offers a convenient way to store and manage terminology files, ensuring easy accessibility and seamless integration within the FHIR ecosystem. By utilizing MongoDB's GridFS, Kodjin ensures efficient storage and retrieval of terminologies, enhancing the overall functionality of the terminology service. Kodjin FHIR server performance To evaluate the efficiency and responsiveness of the Kodjin FHIR server in various scenarios we conducted multiple performance tests using Locust, an open-source load testing tool. One of the performance metrics measured was the retrieval of resources by their unique ids using the GET by ID operation. Kodjin with MongoDB achieved a performance of 1721.8 requests per second (RPS) for this operation. This indicates that the server can efficiently retrieve specific resources, enabling quick access to desired data. The search operation, which involves querying ElasticSearch to obtain the ids of the searched resources and retrieving them from MongoDB, exhibited a performance of 1896.4 RPS. This highlights the effectiveness of polyglot persistence in Kodjin, leveraging ElasticSearch for fast and efficient search queries and MongoDB for resource retrieval. The system demonstrated its ability to process search queries and retrieve relevant results promptly. In terms of resource creation, Kodjin with MongoDB showed a performance of 1405.6 RPS for POST resource operations. This signifies that the system can effectively handle numerous resource-creation requests. The efficient processing and insertion of new resources into the MongoDB database ensure seamless data persistence and scalability. Overall, the performance tests confirm that Kodjin with MongoDB delivers efficient and responsive performance across various FHIR operations. The high RPS values obtained demonstrate the system's capability to handle significant workloads and provide timely access to resources through GET by ID, search, and POST operations. Conclusion Kodjin leverages a modern tech stack including Rust, Kafka, and Kubernetes to deliver the highest levels of performance. At the heart of Kodjin is MongoDB, which serves as a transactional data store. MongoDB's capabilities, such as multi-document transactions and flexible schema, ensure the integrity and consistency of FHIR data operations. The utilization of GridFS within MongoDB ensures efficient storage and retrieval of terminologies, optimizing the functionality of the Terminology service. To experience the power and potential of the Kodjin FHIR server firsthand, we invite you to contact the Edenlab team for a demo. For more information On MongoDB’s work in healthcare, and to understand why the world’s largest healthcare companies trust MongoDB, read our whitepaper on radical interoperability .

May 31, 2023