The daily engineering journal
5 stories selected for substance, clarity and practical value.
Netflix’s TimeSeries platform separates frequently accessed recent events from older data, moving the latter to object storage while keeping a consistent query interface. Its first approach streams events into a cold tier and reorganizes them for efficient reads. The source also introduces a Cassandra-native approach that uses backups already in object storage.
Meta’s next-generation Andromeda brings a more capable model to the first stage of ad selection by designing the model, execution pipeline, and GPU use together. The goal is to evaluate a much larger pool of ads without spending proportionally more compute or exceeding the existing latency budget.
A disaster recovery plan is a commitment on paper until teams test it. Progressively more demanding exercises reveal different gaps, from unclear ownership to failures that were not anticipated in the plan.
Airbnb built a database traffic capture and replay system around a proxy that already sits between applications and databases. It uses real queries, rather than relying solely on synthetic workloads, to test capacity, compare database behavior and investigate performance problems offline.
Triton Low-Level Extensions, or TLX, extends Triton so engineers can organize work across modern GPU execution resources without abandoning its productive programming model.