At this year’s MongoDB World, our all-star lineup of keynotes is so packed that we couldn’t fit them all in one blog post. In addition to comprehensive technical sessions, one-on-one consultations, and networking with industry professionals, join us at MongoDB World to hear from these tech industry leaders.
Meet some of our featured keynote speakers:
After being inspired by our keynote speakers, strengthen your skills at any of the 80+ sessions. Join us at MongoDB World to learn best practices for using MongoDB, directly from the experts.
Bond & MongoDB: Delivering Thoughtfulness at Scale Using MongoDB Atlas & AWS
On the third floor of a pre-war building in Manhattan’s Chelsea neighborhood, you might not expect to stumble upon a fleet of hundreds of handwriting robots. However, in the offices of Bond , that’s exactly what you’ll find. Bond began in 2013 as a gifting company, adorning each of their gifts with a handwritten note. It soon became clear that the note (and not the gift) would be the kickstart to Bond’s success. Bond’s notes are generated with proprietary machine learning algorithms that mimic the way we write letters. The team examines the way different letters of the alphabet relate to each other and recreate that effect using NodeJS and their purpose-built robotic fleet. It’s one of the few companies where you’ll find calligraphers sitting alongside software engineers. Selecting MongoDB over MySQL While novelty may be part of the reason Bond’s notes catch the attention of millions of senders and recipients across the world, the company’s mission is more elegant: to equip anyone with the technology to be more thoughtful to the important people in their lives. This mission resonated with thousands of new Bond customers , who quickly pushed the limits of Bond’s existing technical infrastructure. Originally built on MySQL running in Amazon Relational Database Service (RDS), the platform through which customers create and order notes was seeing upwards of 1,000 read operations per second. This read workload came at the expense of write consistency. The business was scaling exponentially but their database wasn’t keeping pace. Before long, the engineering team was spending more cycles troubleshooting issues with the datastore rather than building out the core product offering. Bond’s CTO began evaluating other options with a particular focus on NoSQL databases for their horizontal scalability. However, the team quickly realized that most NoSQL databases weren’t ready for primetime—they either lacked the required querying capabilities or were too infrastructure-intensive for their rapidly-growing requirements. MongoDB was ultimately selected for its robust ecosystem, expressive query language, and scalability. Migrating to MongoDB Initially, Bond chose to continue to route write operations to MySQL and pass them to a hosted MongoDB instance where the data could be read at a much higher frequency. However, the team has since migrated completely to MongoDB as their database of record. Ensuring a more stable IOPS load enabled the platform to scale, and therefore allowed Bond to process more orders. In the 6 months after migrating to MongoDB, Bond fulfilled twice as many orders than in the previous 2 years on MySQL. Throughout the process, the team also transitioned from working with PHP to building predominantly in Node with Python for machine learning. Having used a managed service on AWS for MySQL, Bond's team was eager to hand over the day-to-day management of the database so they turned to Compose.io, a third party MongoDB service provider. While offloading their MongoDB management to a Compose-hosted deployment on AWS enabled the team to return focus to the consumer-facing portions of their app, it became apparent that the lack of encryption and features in the most recent releases of MongoDB were becoming a security and operational hurdle. Finding MongoDB Atlas Prompted by their need for end-to-end encryption and the upcoming support for the Decimal 128 data type in MongoDB 3.4 , Bond began migrating their data from Compose to MongoDB Atlas shortly after its debut in the summer of 2016. MongoDB Atlas exposed all of the latest functionality of the underlying database, allowing Bond’s technology to not only keep pace with their rapidly-growing business, but to also accelerate to the point where innovation is now driving their business growth. The team has since built a machine data analytics platform to understand and optimize the performance of their robotic fleet, allowing them to fulfill more orders with the same proprietary infrastructure. Using the Connector for Apache Spark , Bond is also using machine learning to extract usage data from MongoDB to anticipate the needs of their many types of customers. To see Bond in action, watch our video with Chief Product Officer, Sam Broe:
Australian Start-Up Ynomia Is Building an IoT Platform to Transform the Construction Industry and its Hostile Environments
The trillion dollar construction industry has not yet experienced the same revolution in technology you might have expected. Low levels of R&D and difficult working environments have led to a lack of innovation and fundamental improvements have been slow. But one Australian start-up is changing that by building an Internet of Things (IoT) platform to harness construction and jobsite data in real time. “Productivity in construction is down there with hunting and fishing as one of the least productive industries per capita in the entire world. It's a space that's ripe for people to come in and really help,” explains Rob Postill , CTO at Ynomia. Ynomia has already been closely involved with many prestigious construction projects, including the residential N06 development in London’s famous 2012 Olympic Village. It was also integral to the construction of the Victoria University Tower in Australia. Link to Podcast Episode Here “These projects involve massive outflow of money: think about glass facades on modern buildings, which can represent 20-30 percent of the overall project cost. They are largely produced in China and can take 12 weeks to get here,” says Postill. “Meanwhile, the plasterer, the plumber, the electrician are all waiting for those glass facades to be put on so it is safe for them to work. If you get it wrong, you can go in the deep red very quickly.” To tackle these longstanding challenges, Ynomia aims to address the lack of connectivity, transparency and data management on construction sites, which has traditionally resulted in the inefficient use of critical personnel, equipment and materials; compressed timelines; and unpredictable cash flows. To optimize productivity, Ynomia offers a simple end-to-end technology solution that creates a Connected Jobsite. Helping teams manage materials, tools, and people across the worksite in real time. IOT in a Hostile Environment The deployment of technology in construction is often fraught with risk. As a result, construction sites are still largely run on paper, such as blueprints, diagrams and models as well as the more traditional invoices and filing. At the same time, there is a constant need to track progress and monitor massive volumes of information across the entire supply chain. Engineers, builders, electricians, plumbers, and all the other associated professionals need to know what they need to do, where they need to be, and when they need to start. “The environment is hostile to technology like GPS, computers, and mobile phone reception because you have a lot of Faraday cages and lots of water and dust,” explains Postill. “You can't have somebody wandering around a construction site with a laptop; it'll get trashed pretty quickly." Enter MongoDB Atlas “On a site, you might be talking about materials, then if you add to that plant & equipment, or bins, or tools etc, you're rapidly getting into thousands and thousands of tags, talking all the time, every day,” said Postill. That means thousands of tags now send millions of readings on Ynomia building sites around the world. All these IoT data packets must be stored efficiently and accurately so Ynomia can reassemble the history of what has happened and track tagged inventory, personnel, and vehicles around the site. Many of the tag events are also safety critical so accuracy is a vital component and packets can't be missed. To address these needs Ynomia was looking for a database that was scalable, flexible, resilient and could easily handle a wide variety of fast-changing sensor data captured from multiple devices. The final component Postill was looking for in a database layer was freedom: a database that didn't lock them into a single cloud platform as they were still in the early stages of assessing cloud partners. The Commonwealth Scientific and Industrial Research Organisation , which Postill had worked with in the past, suggested MongoDB , a general purpose, document-based database built for modern applications. “The most important factor was that the database is event-driven, which I knew would be difficult in the traditional relational model. We deal with millions of tag readings a day, which is a massive wall of data,” said Postill. A Cloud Database Ynomia is using MongoDB Atlas , the global cloud database service, now hosted on Microsoft Azure. Atlas offers best-in-class automation and proven practices that combine availability, scalability, and compliance with the most demanding data security and privacy standards. “When we started we didn't know enough about the problem and we didn't want to be constrained," explained Postill. "MongoDB Atlas gives us a cloud environment that moves with us. It allows us to understand what is happening and make changes to the architecture as we go." Postill says this combination of flexibility and management tooling also allows his developers to focus on business value not undifferentiated code. One example Postill gave was cluster administration: "Cluster administration for a start-up like us is wasted work," he said. "We’re not solving the customer's problem. We're not moving anything on. We’re focusing on the wrong thing. For us to be able to just make that problem go away is huge. Why wouldn’t you?" Atlas also gives Ynomia the option to spin out new clusters seamlessly anywhere in the world. This allows customers to keep data local to their construction site, improving latency and helping solve for regional data regulations. Real Time Analytics The company has also deployed MongoDB Charts, which takes this live data and automatically provides a real time view. Charts is the fastest and easiest way to visualize event data directly from MongoDB in order to act instantly and decisively based on the real-time insights generated by event-driven architecture. It allows Ynomia to share dashboards so all the right people can see what they need to and can collaborate accordingly. “Charts enables us to quickly visualize information without having to build more expensive tools, both internally and externally, to examine our data,” comments Postill. “As a startup, we go through this journey of: what are we doing and how are we doing it? There's a lot of stuff we are finding out along the way on how we slice and re-slice our data using Charts.” A Platform for Future Growth Ynomia is targeting a huge market and is set for ambitious growth in the coming years. How the platform, and its underlying architecture, can continue to scale and evolve will be crucial to enabling that business growth. “We do anything we can to keep things simple,” concluded Postill. “We pick technology partners that save us from spending time we shouldn't spend so we can solve real problems. We pick technologies that roll with the punches and that's MongoDB.” When we started we didn't know enough about the problem and we didn't want to be constrained," explained Postill. "MongoDB Atlas gives us a cloud environment that moves with us. It allows us to understand what is happening and make changes to the architecture as we go. Rob Postill, CTO, Ynomia