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1
Introduction to Customer Incidents and AIOps
2
Welcome to Incident Management 2024
3
Overview of AIOps in AWS
4
Implementation Approaches for AIOps
5
Challenges in Modern Systems
6
Typical AIOps Implementation
7
Goals and Benefits of AIOps
8
Introduction to Observability and AIOps
9
AWS CloudWatch Capabilities
10
Building Dashboards and Insights
11
Digital Experience Monitoring
12
Metric and Log Anomaly Detection
13
AI-Driven Insights with CloudWatch
14
Summary of CloudWatch Capabilities
15
Data Lake Approach for AIOps
16
Data Processing and Machine Learning
17
DevOps Guru for Cloud Operations
18
Key Strategies for AIOps Implementation
19
Conclusion and Final Thoughts
Description:
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

Conf42
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