Read how Cars24 unlocked its search capabilities by migrating core search workloads to MongoDB Atlas. This helped cut costs by 50% and improved developer productivity.

The MongoDB blog offers developers insights into MongoDB database technology, including tutorials, best practices, and use cases for building scalable and flexible applications. Developers can learn about MongoDB's document-oriented data model, query language, and distributed architecture, as well as explore topics such as data modeling, indexing strategies, and performance optimization.

MongoDB

A comprehensive deep-dive into advanced MongoDB optimization techniques, documenting the evolution from appV6R0 to appV6R4. The article demonstrates how implementing Dynamic Schema patterns, optimizing aggregation pipelines, and switching from snappy to zstd compression achieved 99% latency improvements and 95% storage reduction. Key techniques include converting arrays to dynamic documents, consolidating five aggregation pipelines into one, and addressing disk I/O bottlenecks through compression algorithm changes.

Cars24 Improves Search For 300 Million Users With MongoDB Atlas

The Cost of Not Knowing MongoDB, Part 3: appV6R0 to appV6R4