Retail Reference Architecture Part 2: Real-Time, Geo-Distributed Inventory

Retail Reference Architecture Part 2: Real-Time, Geo-Distributed Inventory

Norman Graham

June 24, 2014

During this session we will cover the best practices for implementing a real-time inventory with MongoDB. This includes properly model quantities and stores to avoid large numbers of documents being indexed, how to efficiently use geo-indexing to find the closest store with a specific item available and how to run aggregation to gather interesting inventory stats. We will also cover operational considerations, like how to make inventory queries and updates from anywhere be low-latency and resilient to network partitions via tag-aware sharding.

Additionally, to learn more about new retail challenges and how MongoDB addresses them, download the white paper below:

SERVING THE DIGITALLY ORIENTED CONSUMER

Try MongoDB Atlas,
our new database as a service.

Now available on AWS, Azure, and GCP.