"Netdata in Practice"
"Netdata in Practice" is the definitive guide for engineers, architects, and DevOps professionals seeking to master real-time infrastructure monitoring with Netdata. Through a careful exploration of Netdata's robust architecture, the book unveils the platform's modular, scalable design—detailing agent-based, parent, and cloud components—and provides an in-depth look at data collection engines, storage models, security architecture, and deployment protocols. Readers will gain a thorough understanding of core concepts, data streaming mechanisms, and best practices for securing large-scale, distributed monitoring environments.
The book delivers actionable strategies for deploying Netdata at scale across traditional, containerized, and cloud-native topologies. From single-node setups to federated, global infrastructure, it covers deployment automation via Ansible, Chef, Puppet, and CI/CD tools, as well as advanced configurations for Kubernetes, multi-cloud, and IoT edge scenarios. Readers learn to design resilient architectures with high availability, efficient resource utilization, centralized configuration management, and streamlined disaster recovery.
Beyond deployment, "Netdata in Practice" delves into advanced data collection, integration, alerting, and visualization. It addresses challenges of high-cardinality metrics, custom data ingestion (StatsD, Prometheus, OpenTelemetry), event correlation, and business metric instrumentation. The book also offers practical guidance on performance tuning, developing efficient custom collectors, optimizing alerting systems, and building secure, multi-tenant dashboards. Richly illustrated with best practices, real-world diagnostics, and emerging use cases like ML and serverless, this comprehensive resource empowers readers to drive observability, automation, and operational excellence with Netdata in any environment.