DevOps with Analytics - Listen to Pipeline

continuous-delivery-and-devops Talk 45 Mins Intermediate devops pipeline analytics
Dhiren
Dhiren
Product Development Manager
Tieto

DevOps alone is not going to help for better software delivery. DevOps with some analytics will give you smarter & intelligent software delivery pipeline.

The simple truth is that, as currently configured, data-centric companies will struggle to cross the divide between what is currently considered effective data and a modality where analytics is an inherent part of the fundamental fabric of business operations that benefits from continuous improvement. Today data is all too often a process where new insights and models get developed as a one-time effort or deployed to production on an ad hoc basis, and require regular babysitting for monitoring and updating.

I strongly believe DevOps with Analytics (Cognitive Services) would give tremendous outcomes in the IT operations perspective. Every organization is struggling to maintain the data noise. Data noise is nothing but a data overload and human’s inability to interpret.

 
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Outline/Structure of the Talk

DevOps Pipeline and data exploration

Analytics overview

Classical DevOps and Intelligence DevOps

Challenges Posed by DevOps

Autonomics Overview

Building System of Intelligence for Development, Test, Release, Ops

Conclusion

Learning Outcome

Understanding Analytics and application of Analytics over data generated by DevOps tools or products within pipeline. Learning or identifying areas of building system/algorithm of intelligence over data or events, learning different phase of Analysis.

Target Audience

Programmers, Quality analyst, Release and build Engineers, Agile Development Team, Product Owner, Scrum Master,

Prerequisites for Attendees

Basic knowledge of DevOps

Slides


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Links

https://in.linkedin.com/in/dhiren-shah

http://doppa17.devopsppalliance.org/

https://confengine.com/emerging-technologies-beyond-it-agile-conference-2018

 

schedule Submitted 2 years ago

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