Update " 2025 DevHistory "

Author: devFancy

_posts/2025-01-01-2025-DevHistory.md

@@ -48,3 +48,5 @@ author: devFancy
 * [쿠폰 시스템 개선기: SETNX에서 Redisson RLock과 AOP를 활용한 분산락 적용](https://devfancy.github.io/SpringBoot-Coupon-System-Redisson/)
 
 * [3편. Prometheus와 Grafana로 Spring Boot 기반 모니터링 대시보드 구축하기](https://devfancy.github.io/SpringBoot-Monitoring-Prometheus-Grafana/)
+
+* [MDC와 GlobalTraceId를 활용한 분산 추적](https://devfancy.github.io/SpringBoot-Distributed-Tracing-With-MDC/)

_posts/2025-06-03-SpringBoot-Coupon-System-Redisson.md

@@ -526,15 +526,15 @@ Kafka Consumer 서버에서는 API 서버에서 전송한 `CouponIssueMessage`
 - Average Response Time (ms): 25ms
 - 5xx Error Rate (%): 0%
 
-![](/assets/img/coupon/coupon-issue-system-Grafana-API-Server-After.png)
+![](/assets/img/coupon/coupon-issue-system-Grafana-API-Server-Before.png)
 
 > Grafana - Kafka Consumer Server
 
 - Kafka Listener Processed Count: avg  200 ops/s
 - Kafka Listener Processing Time (ms): avg  6ms
 - Kafka Listener Max Processing Time (ms): avg  200ms
 
-![](/assets/img/coupon/coupon-issue-system-Grafana-Kafka-Consumer-Server-After.png)
+![](/assets/img/coupon/coupon-issue-system-Grafana-Kafka-Consumer-Server-Before.png)
 
 
 ### Redisson RLock 및 AOP 도입 후