Amazon Web Services

This video demonstrates how to use Amazon CloudWatch's log pattern analysis and anomaly detection features to identify unusual patterns in application logs. It showcases how machine learning can automatically surface anomalies, detect changes over time, and discover unknown error conditions in large volumes of log data. The presenter walks through using CloudWatch Log Insights to investigate issues, leveraging pattern analysis to quickly parse thousands of log events, and setting up anomaly detection to proactively monitor for unexpected behaviors. Key capabilities highlighted include comparing log patterns across time periods, inspecting anomalies, and integrating with CloudWatch alarms for critical applications. These powerful tools enable faster troubleshooting and improved operational visibility across AWS environments.

product-information
skills-and-how-to
data
analytics
machine-learning
Show 6 more

Up Next

VideoThumbnail
8:42

สร้าง Web application ใช้ AWS Amplify (Level 200)

Jun 26, 2025
VideoThumbnail
4:38

วิธีการสร้าง Amazon Machine Image (AMI) (Level 200)

Jun 26, 2025
VideoThumbnail
8:03

การย้ายข้อมูลบนระบบฐานข้อมูลด้วย AWS DMS และ AWS SCT (Level 200)

Jun 26, 2025
VideoThumbnail
8:24

เริ่มต้นใช้งาน Technology Serverless ด้วย AWS Lambda (Level 200)

Jun 26, 2025
VideoThumbnail
7:52

วิธีการเซ็ตอัพและการใช้งาน Amazon WorkSpaces (Level 200)

Jun 26, 2025