DevOps Conference 2019 Berlin, 11 - 14 June 2019
The Conference for Continuous Delivery, Microservices,
Containers, Clouds and Lean Business

Machine Learning for DevOps using Python

Workshop
This talk originates from the archive. To the CURRENT program
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Infos
Monday, June 12 2017
09:30 - 17:30
Booking note:
Machine Learning Workshop

Machine Learning is often hyped, but is it useful for DevOps? In this tutorial we will dive into this world. We will show you hands on how you can do data inspection, anomaly detection, prediction, capacity planning and so on. Using realistic datasets and partially programmed code we will make you accustomed to machine learning concepts such as regression, classification, over-fitting, cross-validation and many more. This tutorial is accessible for anyone with some basic Python knowledge and eager to learn the core concepts of machine learning. We make a use of a iPython/Jupyter Notebook running on a dedicated server, so nothing but a laptop with internet connection is required to participate.

Stay tuned:

Behind the Tracks

 

Docker & Kubernetes

Docker, Kubernetes & Co

Microservices

Maximize development productivity

Continuous Delivery

Build, test and deploy agile

Cloud Platforms & Serverless

Cloud-based & native apps

Logging, Monitoring & Analytics

Handle the complexity of microservices applications

Security

DevSecOps for safer applications

Business & Company Culture

Radically optimize IT

Organizational Change

Overcome obstacles on the way towards DevOps

Live Demo #slideless

Showing how technology really works