Scaling Microservices at DoorDash

This brings many new potential failures. Some common ones DoorDash experienced were cascading failures, retry storms, death spirals and metastable failures. Three techniques to reduce these failures are predictive auto-scaling, load shedding and circuit breaking. DoorDash also talked about their use of Aperture, an open source reliability management system. Tech Snippets Nine ways to shoot yourself in the foot with Postgres Keep the monolith, but split the workloads Scaling Large Language Models Java’s new Garbage Collector (ZGC) Scaling Databases at Activision Criticisms of OCaml Did you know that Apple is planning to use Airpods to track your health? Or how Google is using machine learning to predict how viral a video will be? If you want to stay ahead on the latest trends in tech, the best way to do it is by looking at the R&D investments big tech is making. In other words, look at what they’re patenting. Fortunately, discovering where big tech is securing new patents has never been

This brings many new potential failures. Some common ones DoorDash experienced were cascading failures, retry storms, death spirals and metastable failures. Three techniques to reduce these failures are predictive auto-scaling, load shedding and circuit breaking. DoorDash also talked about their use of Aperture, an open source reliability management system. Tech Snippets Nine ways to shoot yourself in the foot with Postgres Keep the monolith, but split the workloads Scaling Large Language Models Java’s new Garbage Collector (ZGC) Scaling Databases at Activision Criticisms of OCaml Did you know

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• Kyle Morris