Monitoring, Streams, and Connectors

Overview

Welcome to the Monitoring, Streams, and Connectors course! The course is designed to equip participants with advanced skills and knowledge in the critical areas of monitoring, data streams, and connectors within modern IT environments. Monitoring and managing data flows, streams, and connectors are essential for maintaining system health, optimizing performance, and ensuring seamless data integration across platforms. This course requires a solid understanding of the architecture and components of Kafka and Java/Scala programming. By the end of the course, you will be able to: - Monitor Kafka broker, producer, and consumer metrics. - Manage quotas and monitor consumer lag. - Understand Kafka Streams' tasks, threading models, and local state stores. - Perform K-Stream and K-Table operations. - Utilize the HTTP REST Interface for Kafka Connect management. This course contains engaging videos, demos, readings, and assessments to ensure a comprehensive understanding of Apache Kafka.

Syllabus

Kafka Monitoring and Schema Registry

This module covers the fundamentals of Kafka monitoring and Kafka schema registry. At the end of this, learners will be able to set up monitoring solutions for Kafka clusters and track component health efficiently.

Kafka Streams and Kafka Connectors

In this module, learners will explore Kafka Stream architecture, DSL, operations, and processor topology, as well as Kafka Connectors configuration and deployment. By the end of this module, learners will be able to build streaming data pipelines with Kafka Streams and integrate data seamlessly using Kafka Connectors.