Amazon Prime Video's 90% cost cut by ditching microservices reignites monolith debate

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Amazon Prime Video's engineering team published a case study in March 2023 revealing that consolidating their serverless microservices architecture into a monolith cut infrastructure costs by over 90%. The original setup, built on AWS Step Functions and Lambda, hit a hard scaling limit at just 5% of projected load due to constant network-based data transfers to S3. Shopify's flagship monolithic application, handling 32 million requests per minute on Black Friday, is cited as further evidence that well-structured monoliths can handle massive scale. Critics argue that microservices adoption is often driven by resume-building rather than genuine technical need, with teams reportedly spending up to 80% of sprint capacity managing configuration and inter-service issues. The broader argument is that distributed architectures introduce hidden costs — both financial, through cloud data-transfer fees, and operational, through increased complexity and maintenance burden.

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