Applied Observability with Datadog: Building Resilient Monitoring, Alerts, and Dashboards for Production Systems is a practical, hands-on guide for engineers and operators who need reliable, production-grade observability. It begins by grounding readers in the core pillars of observability—metrics, logs, traces, and events—then expands into clear architectural overviews and strategic comparisons that help teams choose and align Datadog capabilities with reliability, security, and business objectives such as site reliability engineering and threat detection.

The book moves quickly into advanced, operational topics: enterprise-grade agent deployment and secure configuration, hybrid and multi-cloud integrations, and instrumentation patterns for high-cardinality metrics and efficient data management. You'll find concrete guidance on centralized log collection, enrichment pipelines, granular indexing strategies, anomaly detection, and compliance-ready retention policies—plus practical techniques to correlate signals across telemetry types and drive faster, more precise incident response.

Rounding out the coverage are best practices for visualization, alerting, automation, and governance that scale across teams and organizations. Learn how to design effective dashboards and reports, manage alert lifecycles, automate remediation, and integrate observability into broader IT and business workflows while enforcing RBAC, sensitive-data controls, and compliance automation. With chapters on extensibility, infrastructure-as-code, and organizational scaling patterns, this book equips teams to raise their observability maturity and fully leverage Datadog in production environments.