Introduction When I started working on the NikeRuns project, I knew I needed a centralized configuration server to manage settings across multiple microservices. My initial instinct was to use AWS Elastic Beanstalk—it’s managed, it scales automatically, and it seemed like the obvious choice. But after some deliberation and mentorship, I discovered that a simpler, more … Continue reading From Elastic Beanstalk to Docker on EC2: How I Saved Costs on My Hobby Project (and What I Learned)
Semantic Caching for Intelligent Running Analysis
The post details the development of an innovative running application, "runs-ai-analyzer," designed to function as an injury-aware coach. It leverages a sophisticated tech stack, including PostgreSQL’s PGVector for semantic caching, to analyze running data while considering individual physical limits. Ultimately, the system aims to optimize training while preventing injuries.
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