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We're making some changes to our current delivery strategy for the z/TPF content on IBM Documentation
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Auch wenn z/OS schon länger im Rahmen von Continuous Delivery verbessert und erweitert wird, gehen bei mir die Ankündigungen der neuen Funktionen manchmal doch in der Masse der Neuigkeiten unter
Earlier this week, I presented an IBM Expert TV session sharing how we have been pioneering the integration of the cloud and analytics/AI into the software delivery pipeline for Open Liberty to drive what we term Cognitive Software Delivery. This is one of IBM’s most powerful delivery pipelines able to execute more than 2 years of testing in a single day with real time triage and analysis to rapidly identify quality and infrastructure issues. In the session, I share the journey we’ve taken to arrive at the solution we have today and showcase how we’ve been able to curate a solution that enables us to scale our software delivery lifecycle to cope with massive workloads and multiple delivery pipelines
Cognitive_Software_Delivery_Session1.pdf
What might you look for if you want to architect an enterprise-scalable continuous delivery solution? UrbanCode Head of Product Management, Steve Boone, provides some tips
What should you look for if you want to architect an enterprise-scalable continuous delivery solution? One of the main things you need to do is have automation processes that can be templatized
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