Datadog Observability Mastery: Cloud-Native APM, Logs, Metrics, OpenTelemetry, Kubernetes, FinOps, AI Monitoring & Real-World Projects for DevOps and SRE
Datadog Observability Mastery equips DevOps and SRE professionals with essential skills for cloud-native monitoring. Covering APM, logs, metrics, OpenTelemetry, Kubernetes, FinOps, and AI tools, it includes real-world projects to implement effective observability strategies and optimize infrastructure performance.
About This Book
Datadog Observability Mastery provides an in-depth exploration of using Datadog to achieve full observability in modern cloud-native systems. It focuses on key areas such as Application Performance Monitoring (APM), log management, and metrics collection to help teams monitor and optimize their infrastructure effectively.
The book delves into integrating OpenTelemetry for distributed tracing and observability, alongside Kubernetes orchestration for containerized applications. Readers will learn how to implement FinOps practices within Datadog to manage cloud costs while maintaining high performance.
AI-driven monitoring features are covered to enable proactive issue detection and resolution. The content includes real-world projects tailored for DevOps and Site Reliability Engineering (SRE) roles, offering practical guidance for implementing observability pipelines.
Through structured examples, the book equips professionals with the skills to build resilient, observable systems in dynamic cloud environments.
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