Agile integration concepts help to move integration landscapes towards a more cloud native approach. This brings benefits such as improved productivity, deployment confidence, granular resilience, and more efficient use of human and computer resources.
Those following this path, will recognize it is a journey, not a single step, and we at IBM are moving our focus to one of the most critical parts of that journey – progressively automating your integrations. This refers to automation at multiple levels, from lifecycle automation (CI/CD), to operational automation to enable site reliability engineering practices. It reinforces the essential nature of the operational consistency brought by container platforms, to enable multiple integration capabilities to be administered in increasingly similar ways.
It also becomes increasingly clear that in this more decentralized and distributed world there is an increasing likelihood that multiple integration styles will be used alongside each other and often even in the same solution. This further heightens the importance of automation as there are so many moving parts to be deployed and administered. It is here that we see huge potential gains from the application of machine learning to further improve the level of automation.
Please join me in this on demand webinar, Automating agile integration.
Share any of your questions below.
Thanks,
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Kim Clark
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