DevOps without automated data resilience is a flaky recipe

DevOps might be a peacefully paired portmanteau that links developers to their operations counterparts more harmoniously for accelerated workflow, but it also has an accelerating factor that applies across a wider blast radius to speed the potential time to data loss, security breaches and compliance violations.

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Automation is everywhere. The current approach to apply Artificial Intelligence (AI) engines with their Machine Learning (ML) fuel systems to automation and autonomously manage almost every aspect of the modern IT stack is a proliferating - although mostly friendly - beast.

We say mostly friendly for a reason; there is no such thing as a free lunch and the drive to put automation into enterprise technology deployments isn’t a cure-all. Quite apart from areas like AI bias (and let’s not go there just now), we need to examine how automation intelligence is being applied to data resiliency, stability and backup.

Information fear factor

Why the data-centric fear factor you may ask?

Because data robustness, ruggedisation and resiliency in the hyper-connected stack is also a factor of another key post-millennial IT trend - and it’s DevOps.

The strategic workplace methodology or ‘approach’ that is DevOps might be a peacefully paired portmanteau that links developers (Dev) to their operations (Ops) counterparts more harmoniously for common strategic delivery goals, but it has an accelerating factor that applies across a wider blast radius than the standard build, test, deploy, high-five let’s all go to the bar script we are normally fed.

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