Target Audience for Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams
This course equips participants with the skills to design, build, and troubleshoot event-driven applications using Apache Kafka and Red Hat AMQ Streams.
Target Audience and Job Roles for the Course:
- Software Developers and Engineers focused on real-time data processing
- Data Architects seeking to understand event-driven architectures
- System Administrators and DevOps professionals responsible for managing messaging systems
- IT Professionals working on microservices and distributed systems
- Data Analysts interested in stream processing and real-time analytics
- Technical Leads and Application Architects designing system integrations
- Enterprise Architects looking to implement event-driven solutions in their organization
- Full-stack Developers expanding their expertise to include event-based systems
Learning Objectives - What you will Learn in this Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams?
Introduction to Course Learning Outcomes:
Gain expertise in building scalable, high-performance event-driven applications using Apache Kafka and Red Hat AMQ Streams, covering everything from fundamental concepts to advanced data streaming and integration techniques.
Learning Objectives and Outcomes:
- Understand the fundamental principles and components of event-driven architecture and its advantages.
- Learn to set up and configure Apache Kafka and Red Hat AMQ Streams for messaging and event streaming.
- Develop proficiency in reading from and writing to Kafka topics using basic producer and consumer APIs.
- Utilize the Kafka Streams API to implement stream processing applications capable of handling real-time data flows.
- Apply the event collaboration pattern to design and transition to asynchronous microservices architectures.
- Integrate various data systems with Kafka using Kafka Connect and explore change data capture with Debezium.
- Troubleshoot common issues encountered when working with Kafka and AMQ Streams, enhancing system reliability and performance.
- Acquire skills for effective message system design, including topics, partitions, and consumer group considerations.
- Master the use of Kafka's security features to secure your event-driven applications.
- Explore best practices for deploying and managing Kafka clusters and AMQ Streams in production environments.
