Optimizing the database layer for most web applications tends to be mostly about fast reads. That is why the majority of benchmarks and technical blogs focus on read-intensive workloads. At Mailgun, up to 75% of queries are ordered updates and deletes. This presents a number of challenges. This talk is about lessons we learned at Mailgun while building the highly available and fast back-end for our ever-changing message queue on top of MongoDB.
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