AI BriefingDASH 2024, How Does Olive Young Monitor Its Business with Datadog?
Key point
Olive Young built a real-time monitoring system by integrating infrastructure metrics and business data using Datadog.
Details
Olive Young decided to migrate to Cloud and adopt MSA (Microservice Architecture) to handle rapid online business growth and the explosive traffic during Olyoung Sale periods (about 10 times normal levels).
Initially, the focus was on managing server performance metrics such as RPS (Request per Second) and CPU usage through APM (Application Performance Monitoring). However, a breakthrough came when they extracted payment-related information from log data and visualized it.
Olive Young has now built the following integrated monitoring environment.
- Infrastructure and Application Performance: Real-time performance observation via Datadog APM
- Business Data Integration: Business metrics such as the real-time number of products sold integrated into the dashboard
- Tool Integration: Data from Google Analytics (traffic), Jennifer (APM), Tableau (performance), etc. consolidated into a single Datadog platform
Through this, the SRE and development teams can now immediately grasp how changes in infrastructure performance connect to actual business metrics (such as sales volume).
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.
Related
KT Cloud Proposes Three Architectural Boundaries for Heterogeneous Data Integration