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Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams with exam (AD483)
Course Description
Overview
Organizations are recognizing that traditional synchronous applications are not able to scale consistently and adjust to the massive amounts of data from customers while still meeting customers’ expectations of immediate results. With event-driven applications using Kafka and AMQ Streams, organizations can expect to be able to globally scale their applications, store and stream process data, and provide feedback to customers with extremely low latency.Course description
Develop, scale, and troubleshoot event-driven microservice applications.
Learn to use Kafka and AMQ Streams to design, develop, and test event-driven applications. Event-driven microservices scale globally, store and stream process data, and provide low-latency feedback to customers. This course is for application developers. The Red Hat Certified Specialist in Event-Driven Development with Kafka exam (EX482) is included in this offering.
Objectives
- Design, build, and use event-driven applications for relevant scenarios with standard patterns.
- Detect and react to data changes with Debezium to improve application performance.
- Troubleshoot common problems with event-driven applications.
- Describe the basics of Kafka and its architecture.
- Develop applications with the Kafka Streams API.
- Integrate applications with Kafka Connect.
- Capture data change with Debezium.
- Troubleshoot common application streaming issues.
Audience
Prerequisites
-
Prerequisites for this course
- Experience with microservice application development and design, such as DO378 or equivalent experience.
- OpenShift experience is recommended, but not required.
- BYOD classroom environment with access to the shared cluster.
- A cloud-based classroom environment will also be made available.
Topics
- Describe the principles of event-driven applications.
- Build applications with basic read-and-write messaging capabilities.
- Leverage the Streams API to create data streaming applications.
- Create and migrate to asynchronous services using the event collaboration pattern.
- Connect data systems and react to data changes using Kafka Connect and Debezium.
- Handle common problems in Kafka and AMQ Streams applications.
Related Courses
-
Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams
RHT-AD482- Duration: 3 Days
- Delivery Format: Classroom Training, Online Training
- Price: 3,210.00 USD
-
Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams with exam (AD483)
RHT-AD483- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 3,524.50 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
ONCE YOU ARE ENROLLED IN THIS COURSE YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
This is a Red Hat Self-paced subscription; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available.
- Students will receive an access code within 1-3 business days.
- Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.
The Term of a Self-paced Subscription is ninety (90) days from the start date selected at the time of order. While Client may not reschedule the start date of a Self-paced subscription, the start date may be scheduled up to ninety (90) days after the effective date of purchase, if agreed in writing.
Interruption of service shall not be cause to modify the Term of the subscription. Any adjustment to the Term of the subscription will be at the sole discretion of Red Hat.
Right of cancellation by Red Hat: If the Named Participant or Client violates the terms of use of a Self-paced subscription, such as by allowing multiple users access to a single Named Participant’s materials, Red Hat may cancel a Self-paced subscription, prior to its expiration, without refund.
Self-paced Subscription Renewals: A Self-paced Subscription may be renewed, upon mutual agreement of the Client and Red Hat, for successive ninety (90) day Terms. Renewal of the Subscription will be at the list price for the Subscription, at the time of renewal, unless otherwise approved by Red Hat or a Red Hat Authorized Reseller Partner.
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