"Logstash Essentials"
"Logstash Essentials" is a comprehensive guide for engineers, architects, and practitioners seeking to master the robust capabilities of Logstash within modern data pipelines. From foundational principles to advanced architecture, this book navigates the internal workings of Logstash pipelines, plugin ecosystems, and the nuanced configuration DSL that underpins reliable, scalable event processing. Readers will explore high-performance input strategies for ingesting data from diverse sources—such as syslog, HTTP, Kafka, and Beats—and learn how to develop custom plugins to extend and tailor Logstash to fit any environment.
Delving deeper, the book provides an expert's perspective on sophisticated event processing, including advanced parsing, dynamic enrichment, sensitive data redaction, and complex conditional logic for real-world requirements. Detailed chapters on output optimization examine Elasticsearch internals, integration with distributed queues, delivery guarantees, and building resilient, high-throughput pipelines. Throughout, readers will find guidance for performance tuning, horizontal scaling, disaster recovery, and ensuring compliance with security best practices, including end-to-end encryption, access controls, and audit logging.
With a strong emphasis on observability, troubleshooting, automation, and future trends, "Logstash Essentials" equips professionals to monitor pipeline health, visualize data movements, automate deployments, and integrate seamlessly with broader ecosystems such as Elasticsearch, Kibana, SIEM, and emerging technologies like OpenTelemetry. Real-world use cases highlight Logstash's transformative role in serverless, AI/ML, IoT, and security analytics—making this book an indispensable reference for building resilient, next-generation data infrastructure.