How Predii Rapidly Produces Predictive Analytics Tools for IoT with MongoDB
Predii turned to MongoDB to build a solution that enables its customers to process huge volumes of sensor data, technical manuals and service orders and then expose it to machine learning processes and extract actionable insights. Find out how it all works.
Playback: How Cisco Deploys MongoDB For High Volume Time Series Data Streams
Playback is where the MongoDB blog brings you selected talks from around the world and around the industry. Here, we continue show-casing the great talks at MongoDB World 2018 from people running MongoDB in production and at scale. The Network Assurance Engine team at Cisco Systems have a lot of experience with time series data and MongoDB. Larger network fabrics generate 12 million time series data points every hour and all of those data points need to be analyzed to ensure that the network and its applications are working correctly,
Automating away IT operations: How Oakbrook Finance runs Likely Loans on Microservices and MongoDB Atlas
Matt Bettinson really likes automation. He likes it when things just work. Matt's an infrastructure engineer, which means he's part of the team that is responsible for building and managing the technology platform that allows hundreds of thousands of people to responsibly seek financial support from Oakbrook Finance and its flagship product Likely Loans. As you can imagine, it's not a simple job and a couple of years back Matt's team had a problem: time. There wasn't enough of it.