Explore the best approach for predictive maintenance using AIOps in AWS in this 27-minute conference talk from Conf42 Incident Management 2024. Dive into implementation strategies, challenges in modern systems, and the goals and benefits of AIOps. Learn about AWS CloudWatch capabilities, including building dashboards, digital experience monitoring, and AI-driven insights. Discover the data lake approach for AIOps, data processing techniques, and machine learning applications. Gain insights into DevOps Guru for cloud operations and key strategies for successful AIOps implementation. Conclude with final thoughts on leveraging AIOps for improved incident management and predictive maintenance in AWS environments.
AIOps in AWS - Best Approach for Predictive Maintenance
Overview
Syllabus
Introduction to Customer Incidents and AIOps
Welcome to Incident Management 2024
Overview of AIOps in AWS
Implementation Approaches for AIOps
Challenges in Modern Systems
Typical AIOps Implementation
Goals and Benefits of AIOps
Introduction to Observability and AIOps
AWS CloudWatch Capabilities
Building Dashboards and Insights
Digital Experience Monitoring
Metric and Log Anomaly Detection
AI-Driven Insights with CloudWatch
Summary of CloudWatch Capabilities
Data Lake Approach for AIOps
Data Processing and Machine Learning
DevOps Guru for Cloud Operations
Key Strategies for AIOps Implementation
Conclusion and Final Thoughts
Taught by
Conf42
