InfoTechTarget and Informa Tech's Digital Businesses Combine.

Together, we power an unparalleled network of 220+ online properties covering 10,000+ granular topics, serving an audience of 50+ million professionals with original, objective content from trusted sources. We help you gain critical insights and make more informed decisions across your business priorities.

The Ghost in the Machine

Presented by

John Willis, Senior Director ,Global Transformation Office, Red Hat\

About this talk

When we are talking about one of this year's themes for TOCICO being “Standing on the Shoulder of Giants” it makes sense to talk about a common enemy of flow - “Ghost in the Machine”. Whether we are talking about Walter Shewhart, Edwards Deming, Claude Shannon, or Eliyahu Goldratt, the “Ghost” is always non-deterministic noise. In fact, in Beyond the Goal, Goldratt points this out on how physicists think differently, making the comment that Dr. Deming and himself were both educated physicists. Actually, Shewhart was also an educated physicist. Shannon’s PHD was pretty close as it was in ‘Algebra for Theoretical Genetics”. They all had different practices and theories but they all approached the problem in a common way. The point being that they all were well versed in the Theory of Errors and what could be called a non-deterministic way of thinking. The “noise” for Shewhart and Deming was variation, for Shannon it was signal noise, and for Goldratt it was local optimization and bottlenecks. In this presentation we are going to cover a brief history and parallels of how “noise” has been managed over the years all the way to modern DevOps and DevSecops operations. We will show how Statistical Process Control, Information Theory, and Theory of Constraints all align against one common enemy – The Ghost in the Machine that is Noise.
Build, integrate & deploy applications faster

Build, integrate & deploy applications faster

41577 subscribers97 talks
Take your apps—and business—into the future with Red Hat
Join this channel to learn best practices and insights on how to: containerize existing apps for increased cost efficiency, deliver new cloud-native and process-driven apps using microservice architectures, take an agile approach to integrate APIs and data, and do it all in a culture of collaboration using DevOps best practices.
Related topics