courseraПрограммирование

Monitoring, Streams, and Connectors

Курс от LearnKartS

Средний≈ 5 чАнглийский

О курсе

Want to be sure your Kafka pipelines are running at top performance? This Kafka Monitoring, Streams, and Connectors course teaches you how to design, monitor, and manage real-time data systems with precision. The course is designed for learners with Kafka and Java/Scala expertise. It covers broker, producer, and consumer metrics, latency monitoring, quota enforcement, and alarm configuration using JMX and Prometheus. You'll learn about Kafka Streams' architecture, including stateful and stateless transformations, K-Stream/K-Table joins, windowing, and exactly-once semantics. You will also learn how to deploy Kafka Connect, configure source/sink connectors, interact with single message transformations (SMTs), and manage connectors using the Kafka Connect REST API. This Apache Kafka course teaches stream monitoring and integration from start to finish with demos, videos, readings, and evaluations. By the end of this course, you'll be able to create and monitor high-throughput Kafka pipelines. Enroll now to gain real-time data expertise.

Навыки, которые вы освоите

Apache Kafka Network Architecture Network Troubleshooting Prometheus (Software)Network Monitoring Performance Metric Distributed Computing Data Governance Data Processing Systems Architecture Data Store Event Monitoring

Программа курса

5 модулей · 48 учебных материалов

01 Kafka Monitoring and Metrics13 материалов

Monitoring and Its ImportanceВидео Server or Infrastructure Monitoring and Application MonitorВидео Kafka Monitoring Видео Kafka Broker Metrics - Under Replicated PartitionsВидео Kafka Broker Metrics - OthersВидео

Учитесь у экспертов

LearnKartS

Преподаватель курса