Observability with CloudWatch: Configuring, Monitoring, and Alerting for Reliable AWS Systems (eBook, ePUB)
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Observability with CloudWatch: Configuring, Monitoring, and Alerting for Reliable AWS Systems is a practical, up-to-date guide for architects, DevOps engineers, and cloud-native builders who need to design resilient monitoring and alerting across AWS environments. The book opens with CloudWatch architecture and integration patterns, showing how to instrument EC2, Lambda, EKS, RDS, and other core services, and explains how to leverage APIs, the CLI, and SDKs to automate observability workflows.At its core the book teaches both foundational and advanced techniques: collecting and managing standa...
Observability with CloudWatch: Configuring, Monitoring, and Alerting for Reliable AWS Systems is a practical, up-to-date guide for architects, DevOps engineers, and cloud-native builders who need to design resilient monitoring and alerting across AWS environments. The book opens with CloudWatch architecture and integration patterns, showing how to instrument EC2, Lambda, EKS, RDS, and other core services, and explains how to leverage APIs, the CLI, and SDKs to automate observability workflows.
At its core the book teaches both foundational and advanced techniques: collecting and managing standard and custom metrics, high-resolution monitoring, efficient log ingestion and analytics, and crafting actionable alarms, dashboards, and EventBridge rules. Hands-on sections walk through alerting strategies, tracing and synthetic checks, cost and retention optimization, cross-account/multi-region setups, and Infrastructure-as-Code approaches that scale from prototypes to production telemetry pipelines.
Security, compliance, and operational hardening are woven throughout, with pragmatic IAM guidance, retention and archival patterns, and real-world case studies that surface common pitfalls and recovery playbooks. Packed with automation recipes, third-party integration patterns, and forward-looking notes on AI/ML-enhanced observability and extensibility, this book is an authoritative reference for building reliable, observable systems on AWS.
At its core the book teaches both foundational and advanced techniques: collecting and managing standard and custom metrics, high-resolution monitoring, efficient log ingestion and analytics, and crafting actionable alarms, dashboards, and EventBridge rules. Hands-on sections walk through alerting strategies, tracing and synthetic checks, cost and retention optimization, cross-account/multi-region setups, and Infrastructure-as-Code approaches that scale from prototypes to production telemetry pipelines.
Security, compliance, and operational hardening are woven throughout, with pragmatic IAM guidance, retention and archival patterns, and real-world case studies that surface common pitfalls and recovery playbooks. Packed with automation recipes, third-party integration patterns, and forward-looking notes on AI/ML-enhanced observability and extensibility, this book is an authoritative reference for building reliable, observable systems on AWS.
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