MANAGING AWS COST OPTIMISATION IN THE GEN AI ERA
Generative AI has changed how organisations manage AWS spending, demanding new approaches to resource-level analysis
EXECUTIVE SUMMARY
A startup’ s AI chatbot goes from $ 4,000 in month one to $ 47,000 by month three. A development team‘ saves’ $ 200 on database costs only to add $ 900 in Lambda expenses. An infrastructure audit reveals 847 EBS from instances deleted years ago, quietly draining $ 2,100 every month.
Cloud costs have become technology’ s silent crisis: the budget line that spirals whilst everyone assumes someone else is watching it. The arrival of Gen AI has transformed a manageable problem into an urgent one. The question facing CTOs today isn’ t whether to optimise but how to do it without killing innovation velocity.
75 % 70 % 66 %
of enterprise workloads remain on premises of Fortune 500 companies run on software from 20 years ago administrator productivity increase after migration to AWS
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