What you'll learn
This section of the workshop explores Amazon CloudWatch observability features, including:
CloudWatch Application Signals - Automatic application instrumentation and monitoring
CloudWatch Investigations - AI-powered root cause analysis and troubleshooting
Generative AI Observability - Monitor and optimize generative AI applications
CloudWatch Logs - Centralized log management and analysis
CloudWatch Metrics, Alarms, and Dashboards - Performance monitoring and visualization
CloudWatch Container Insights - Container and Kubernetes monitoring
CloudWatch Synthetics - Proactive endpoint monitoring
Amazon CloudWatch RUM - Real user monitoring for web applications
| Section | Description |
|---|---|
| Log Management | Create and manage log groups, explore log classes |
| Logs Insights | Query and analyze logs using CloudWatch Logs Insights |
| Log Anomaly Detection | Use ML to detect anomalies and patterns |
| Data Protection | Detect and mask sensitive data in logs |
| Metric Filters | Create CloudWatch metrics from log data |
| Subscription Filters | Stream logs to other AWS services |
| Integrations | Connect with OpenSearch and S3 Tables |