Title

AWS re:Invent 2023 - Demonstration of what’s new with AWS observability and operations (COP349)

Summary

The session focused on demonstrating new AWS features related to observability and operations, particularly those announced by Werner Vogels.
The lifecycle of an incident was discussed, emphasizing the stages of detection, investigation, and remediation.
A new feature called "My Application" was showcased, which allows users to define and monitor applications by linking AWS resources and tagging.
The speaker demonstrated how to use CloudWatch application signals to monitor application performance, including latency and faults.
The session highlighted the ease of setting up observability for Java-based applications on EKS without manual instrumentation.
Service Level Objectives (SLOs) and Service Level Indicators (SLIs) can now be defined and tracked within CloudWatch.
CloudWatch Logs has been enhanced with machine learning capabilities for anomaly detection and pattern recognition.
The speaker mentioned a broader breakout session at Mandalay Bay for a more comprehensive overview of the new features.

The "My Application" feature represents a shift towards a more application-centric view of infrastructure, which can simplify operations for developers and operators.
The ease of setting up observability for Java applications on EKS indicates AWS's commitment to reducing the complexity of monitoring and managing applications in the cloud.
The introduction of SLOs and SLIs within CloudWatch suggests that AWS is focusing on providing tools for more proactive and measurable operational performance management.
The enhancements to CloudWatch Logs with machine learning for anomaly detection and pattern recognition show AWS's investment in advanced analytics to help users quickly identify and respond to operational issues.
The session's content reflects a broader trend in cloud services towards integrating machine learning and AI to automate and enhance operational tasks.