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    How to optimize costs and minimize technical debt in a multi-cloud environment



    Cloud infrastructure is one of the necessary foundations for organizations that want to keep their competitive edge and agility in the era of AI. This will be true both in the short term and for years to come. Yet, in the face of economic headwinds, most organizations are working hard to juggle the cost of innovation and a flat IT budget. This can sometimes result in complex multi-cloud environments made up of quick-fix cloud computing solutions which solve a specific pain point.

    Ensuring that your organization is getting the best value from its cloud infrastructure has never been more critical. Yet, whilst multi-cloud environments offer huge scalability, each platform has its own nuances and intricacies to grapple with. Understandably, this means we often see developers making short-term decisions, using outdated hardware or software, or even neglecting best practices when it comes their multi-cloud environments. Developers will, gradually accumulate ‘technical debt’ – which is the increased maintenance burden and reduced infrastructure quality – as they try to juggle their respective platforms.

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