Comprehensive understanding of AWS CloudWatch including monitoring, metrics, alarms, logs, dashboards, and insights for comprehensive observability of AWS resources and applications.
Learners will master CloudWatch observability concepts including monitoring AWS resources with metrics and alarms, implementing centralized logging with CloudWatch Logs, creating operational dashboards, using CloudWatch Insights for log analysis, setting up custom metrics, implementing distributed tracing, and building comprehensive monitoring strategies for applications and infrastructure.
Setting up metric alarms, composite alarms, alarm states, notification mechanisms using SNS, and implementing automated remediation actions.
Setting up log groups and streams, log retention policies, log filtering and searching, metric filters, and log export capabilities.
Building custom dashboards, widget types, sharing dashboards, automatic dashboards, and implementing operational visibility strategies.
Query language for Logs Insights, performance analysis, Container Insights for ECS and EKS, Lambda Insights, and advanced troubleshooting techniques.
Publishing custom metrics, using CloudWatch APIs, implementing application performance monitoring, and creating business metrics dashboards.
Setting up event rules, event patterns, target configurations, cross-account events, and implementing event-driven automation workflows.
Setting up X-Ray tracing, service maps, trace analysis, integration with Lambda and other services, and performance bottleneck identification.
Monitoring strategy design, cost optimization techniques, log retention policies, metric filtering, and implementing efficient observability architectures.
Core metrics concepts, default metrics for AWS services, custom metrics publishing, metric dimensions, and understanding metric retention and aggregation.