AI DevOps Korea
Aidevops.kr covers LLMOps, RAG, agents, observability, evaluation, and cost-performance optimization for production AI services.
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This guide explains Core Web Vitals not as a checklist, but from the perspective of perceived performance and rendering structure. It shows why LCP, CLS, and INP degrade, what to measure first, and how to optimize them in the right order.
This post explains how MySQL indexes work and how to optimize them using EXPLAIN analysis. It covers composite indexes, covering indexes, and index hints with practical examples.
This post covers multiple ways to solve the N+1 problem, one of the most common JPA performance issues. It explains when to use Fetch Join, EntityGraph, Batch Size, and direct DTO queries.
A production-focused guide to SQL tuning that treats performance as a workload problem. Learn how to read plans, reduce data access, tune indexes honestly, and avoid premature query heroics.