Production-Ready Microservices: Building Standardized Systems Across an Engineering Organization
Recent practice in distributed systems has shifted from building and maintaining monolithic applications to breaking monoliths into microservices, but the standardization and best practices for microservice architecture and interaction between microservices remain largely undefined. After breaking apart a monolithic application or building up microservices from scratch, many en...
Recent practice in distributed systems has shifted from building and maintaining monolithic applications to breaking monoliths into microservices, but the standardization and best practices for microservice architecture and interaction between microservices remain largely undefined. After breaking apart a monolithic application or building up microservices from scratch, many engineers are left wondering "now what"?In Production-Ready Microservices, author Susan Fowler looks at lessons learned from driving high production-readiness standards across over a thousand microservices. She discusses standards that apply to every microservice, and shares strategies for bringing microservices to a production-ready state. A production-ready microservice, she argues, is one that is stable, reliable, fault-tolerant, scalable, performant, monitored, prepared for any catastrophe, and documented and understood.
Susan Fowler is a site reliability engineer at Uber, where she splits her time between running a production-readiness initiative across all Uber microservices and embedding within business-critical teams to bring their services to a production-ready state. She worked on application platforms and infrastructure at several small startups before joining Uber, and, before that, stu...
Susan Fowler is a site reliability engineer at Uber, where she splits her time between running a production-readiness initiative across all Uber microservices and embedding within business-critical teams to bring their services to a production-ready state. She worked on application platforms and infrastructure at several small startups before joining Uber, and, before that, studied particle physics at Penn, where she searched for supersymmetry and designed hardware for the ATLAS and CMS detectors.