Amazon Web Services

This video demonstrates Amazon CloudWatch Logs Anomaly Detection and Pattern Analysis, powered by machine learning. It showcases how to quickly summarize thousands of log entries into patterns, compare changes over time, and set up always-on anomaly detection with alerts. The presenter walks through using the CloudWatch log insights console to analyze patterns, filter results, and create anomaly detectors for specific log groups. This capability helps users identify issues and changes in log data more efficiently, addressing challenges with increasing log volumes and formats in modern architectures.

product-information
skills-and-how-to
data
ai-ml
analytics
Show 6 more

Up Next

VideoThumbnail
18:11

Building Intelligent Chatbots: Integrating Amazon Lex with Bedrock Knowledge Bases for Enhanced Customer Experiences

Nov 22, 2024
VideoThumbnail
3:06

AWS IAM Identity Center: Simplifying Workforce Identity Management and Access Control Across Multiple AWS Accounts

Nov 22, 2024
VideoThumbnail
58:49

AWS Clean Rooms ML and Differential Privacy: Revolutionizing Secure Data Collaboration

Nov 22, 2024
VideoThumbnail
14:40

Amazon Aurora MySQL Zero-ETL Integration with Amazon Redshift: Public Preview Demo and Setup Guide

Nov 22, 2024
VideoThumbnail
15:41

Simplifying Graph Queries with Amazon Neptune and LangChain: Harnessing AI for Intuitive Data Exploration

Nov 22, 2024