How Netflix microservices tackle dataset pub-sub
By Ammar Khaku IntroductionIn a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. These datasets can represent anything from service configuration to the results of a batch job, are often needed in-memory to optimize access and must be updated as they change over time. One example displaying the need for d
Engineering Trade-Offs and The Netflix API Re-Architecture
Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility. Within that framework they are free to operate with freedom to satisfy their mission. Accordingly, teams are generally responsible for all aspects of their systems, ranging from design, architecture, development, deployments, and opera
MicroServices at Netflix - challenges of scale
Aug 8, 2014Download as pptx, pdf243 likes61,641 viewsAI-enhanced description Microservices at Netflix have evolved over time from a single monolithic application to hundreds of fine-grained services. While this provides benefits like independent delivery, it also introduces complexity and challenges around operations, testing, and availability. Netflix addresses these challenges through tools like
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