data production package model configuration management code versioning, infrastructure-as-code, api versioning data & data dictionary management, model & platform versioning, api versioning continuous integration constantly validating behavior of code against tests constantly validating model against scenarios and data continuous delivery always ready to deploy to production and smart devices (ios / android) always ready to deploy to production and smart devices (edge) observability / care and feeding instrument code, monitoring & alerting infrastructure collect model accuracy, continuous model training - data feeds back into training thanks to 勇张
- only possible with teams • data pipeline as well as delivery pipeline • allocate R&D time for algorithm selection and model training • edge: hardware heterogeneity - interface hell
r&d time • invest in ml infrastructure: toolchains and platforms • for developers, training and validating models, data pipelines / ETL, deployment to the cloud and edge, instrumentation and ongoing training • comprehensive data and configuration management • get visibility into - and optimize for - lead times
receive the following: • A copy of this presentation • The link to the 2018 Accelerate State of DevOps Report (and previous years) • A 100 page excerpt from Lean Enterprise • Excerpts from the DevOps Handbook and Accelerate • 30% off my video workshop: creating high performance organizations • A 20m preview of my Continuous Delivery video workshop • Discount code for CD video + interviews with Eric Ries & more Just pick up your phone and send an email To: jezhumble@sendyourslides.com Subject: devops