Learn Apache Kafka: Stream Real-Time Data with High Performance

LEARN APACHE KAFKA Stream Real-Time Data with High Performance

This book is designed for students and professionals seeking to master Apache Kafka in corporate environments, data engineering, DevOps, technical squads, and large-scale data streaming projects. With a practical approach and validated examples, you will learn how to configure clusters, operate distributed pipelines, implement resilient producers and consumers, orchestrate integrations with SQL and NoSQL databases, and manage critical data flows with high availability, security, and performance.

The content covers professional installation, message production and consumption, partition tuning, automation with Docker and Kubernetes, integration with PostgreSQL, MongoDB, Spark, advanced monitoring with Prometheus and Grafana, as well as security with SSL, ACLs, and authentication. It includes techniques for topic modeling, replication, offset management, CDC with Debezium, Schema Registry usage, CI/CD deployments, troubleshooting, observability strategies, automation, and governance.

Includes:

- Professional installation and operation of Kafka clusters

- Integration with PostgreSQL, MongoDB, Spark, ELK, Jenkins

- Topic modeling, partition tuning, and replication

- Security with SSL, ACLs, authentication, and authorization

- Monitoring and metrics with Prometheus, Grafana, JMX

- CDC, Schema Registry, CI/CD pipelines, and cloud-native automation

- Error resolution, troubleshooting, and best practices

Master Apache Kafka and lead the development of data pipelines, integration automation, event-driven solutions, distributed architecture, and critical real-time projects.

kafka, distributed messaging, devops, data streaming, clusters, producers, consumers, ci/cd, kubernetes, systems integration, monitoring, security, cloud, ruby, go, python