I’ve been fortunate to spend the last 16 years working with engineering teams in some capacity. Designing cloud infrastructure, building automation pipelines, helping clients optimise for performance, resiliency, and uptime. The focus was always fairly straightforward: move fast, ship often, keep it running, keep it compliant. But more and...
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DevOps for AI Apps (Part 2)
Welcome back to the second of this two-part piece on DevOps for AI Apps. In part one, we explored the differences between regular apps and AI apps, drilled into some of the added complexity and thought about the benefits of adopting a DevOps methodology for enterprise AI app projects....
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DevOps for AI Apps (Part 1)
Looking through various recent studies on the success of AI Apps for enterprises, It seems many businesses have developed AI Apps, but the apps only very rarely make it into production. Challenges seem to come from everywhere, from infrastructure and capacity, to skills scarcity, to the lack of automation...
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Cloud Technologist Show – E3 – DevOps!
Hi Everyone, We’re really on a roll now! I’m pleased to share with you episode three of the Cloud Technologist Show. This time we’re talking all about DevOps. If you ever wanted a “concise” definition of what DevOps is, all three of us give it a go (Warning: concise...
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