Cut Amazon Bedrock Costs with a 3-Layer Caching Pipeline on AWS Lambda + ElastiCache
Dev.to AI
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Generative AI
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If you're building AI-powered apps on AWS, you've probably felt the sting of Bedrock inference costs. Every token counts - and when users hammer your app with similar or identical questions, you're paying for the same answer over and over again. In this post I'll walk through a three-layer caching and optimization pipeline I built inside a single Lambda function backed by ElastiCache (Redis). By the end, you'll have a pattern that can dramatically reduce Bedrock calls in any chatbot, internal knowledge assistant, or document Q&A tool you're shipping.