Continuous Improvement & Scaling DevOps at Urban Science
summary
Urban Science builds a centralized self‑service automation catalog using Electric Flow and three pipeline types (static, dynamic, self‑service), automates 135 products and shifts from ~3,000 annual deployments in 2014 to about 50,000 deployments a year by 2016, avoiding roughly 22,000 manual work hours and freeing ~12 full‑time equivalents. Dynamic pipelines let artifacts follow maturity stages rather than fixed environments, adoption proves faster on mundane tasks than on highly visible projects, and net promoter scores from clients improve.
AI-written summary · about
chapters (11)
- 0:00Start
- 0:44Agenda
- 1:03Marc Priolo, Software Configuration Manager
- 2:56Why Starting the DevOpsjourney
- 3:49How: Automate everything
- 6:38Provide a pipeline catalogue
- 7:56Catalogue offering
- 8:48Static legacy deep dive
- 9:21Dynamic deep dive
- 14:31Challenges
- 16:58Up next
related talks
31mSolving Day 2 DevOps Challenges
41mContinuous Delivery Transformation: The New Way of Working
30mHow DevOps is Enabling Lean Application Development
43mTo make mistakes is human. To auto-deploy it is DevOps.
33mFrom 0 to DevOps in 80 days
25mDevOps Handbook Experiments in Accelerating Delivery
33mLearning to Scale Agile-DevOps for Agricultural R&D
38mFrom Science Experiment to Enterprise Rollout
