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How the hell do I run my microservices in production, and will it scale

Talkat DevOps Pro Moscow 2016 · on Tuesday, 2016-11-15· [microservices, devops-and-delivery]
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slides:none on file

Clinic-ready advice: use Dockerfiles built and tested locally, produce slim secure speedy stable images, and treat images as immutable artifacts; avoid running stateful databases in containers (don't run databases in containers). The platform reality states: company manages 700 brokers over 4,000 servers and finds ~60% of customers run a monolith-inside-container, ~30% API-first, ~7% splitting to services and ~3% on Mesos experiments. Production requires orchestration, discovery, monitoring, logging, backup and clear lifecycle/versioning.

AI-written summary · about

  1. 0:00Start
  2. 2:35The Hero's Journey
  3. 11:10The Containerization Machine
  4. 11:34Introduction
  5. 12:42How To Design Your Images in Containers
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