Cloud! When we think of the cloud, our mind goes to unlimited scalability and power, using an efficient system that can automatically respond to demand. The reality is not like this, mainly because most of the systems were migrated as is to the cloud or built by teams where the cloud skills were limited. Cloud modernization is not part of the lifecycle of systems that run inside the cloud, meaning that the same cloud services are used by a system after 5-10 years. Performance bottlenecks emerge when AI is added to systems because of inefficient resource allocations, architectural decisions, and a lack of understanding of the demand of the AI model. The truth is that most of the systems that run in the cloud nowadays are not ready for the demand for an AI service. Microsoft, like other vendors, provides paths to navigate in the AI journey that requires customers to adopt new cloud technologies or change the way how the system works. One of the mistakes made by organizations is...
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