Technology’s big tradeoff: complexity vs. conformity

The multiplicity of clouds, databases, microservices and containers alongside the infinite variety of converged and divergent services that exist in the typical enterprise IT stack are spiraling in their complexity - how we manage and bring all these elements into a conformed order is the technology challenge of the decade to come.

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Just in case you’ve been lucky enough to be running a fishing charter business in Micronesia for most of the last decade, technology has been growing to a point of increasing power and complexity.

For every new augmentation, enhancement and expansion that the technology trade seeks to roll out and have us ‘embrace’, there usually comes a more granular internal convolutedness that needs to be architected and engineered into place... and then subsequently managed.

The need to evolve IT while still staying within the boundaries of compliance and productive operational control is the complexity vs. conformity challenge of the decade to come. This is not just conformity and compliance to regulatory governance standards - although it is that too - this is all about bringing new technology into live production environments that organisations can actually steer and control.

Look around, observability is everywhere

Almost always generically labelled under the term ‘insights’, every major vendor worth its salt is now working hard to try and give us management controls for complex systems that run with as much Artificial Intelligence (AI) and Machine Learning (ML) as possible.

Data behemoth Oracle spent the latter part of 2019 talking about its ‘autonomous database’ offering. This notion of the self-driving database takes many of the chores that a Database Administrator (DBA) might typically have to perform, to then hand defined actions over to software so that more tasks are executed automatically.

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