DevOps with Analytics - Listen to Pipeline
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.
Outline/Structure of the Talk
DevOps Pipeline and data exploration
Classical DevOps and Intelligence DevOps
Challenges Posed by DevOps
Building System of Intelligence for Development, Test, Release, Ops
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.
Programmers, Quality analyst, Release and build Engineers, Agile Development Team, Product Owner, Scrum Master,
Prerequisites for Attendees
Basic knowledge of DevOps
schedule Submitted 1 year ago
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The Outline/Structure section below has additional details.