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We're here to help you find itThe Event-Driven Architecture (EDA) with Apache Kafka and Red Hat OpenShift Application Services Technical Overview refers to the practice of designing systems around the production, detection, consumption, and reaction to events. Apache Kafka is a popular open-source stream-processing software platform that enables building of real-time data pipelines and streaming apps. It functions as a central hub for real-time data streams. Red Hat OpenShift catalyzes development by providing a containerized environment for deploying, scaling, and managing applications. Industries utilize EDA with these tools to achieve scalability, resilience, and real-time data processing, essential for modern applications that require dynamic, responsive, and flexible systems to handle asynchronous data flows and state changes.
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- Fundamental knowledge of event-driven concepts
- Basic understanding of Apache Kafka
- Familiarity with containers and Kubernetes
- Exposure to Red Hat OpenShift/kubernetes
- Experience with application development and microservices
The Event-Driven Architecture with Apache Kafka and Red Hat OpenShift Application Services Training covers topics like Kafka basics, topic management, and message streaming. It integrates Red Hat OpenShift for deployment and scaling. The course teaches event-driven system design, Kafka Connect, and Streams API usage, focusing on real-time data processing and microservices communication. Certification validates one's skills in building and managing event-driven applications using these technologies.
Learning Event-Driven Architecture with Apache Kafka and Red Hat OpenShift Application Services Technical Overview course provides essential knowledge on building scalable systems, improves real-time data processing skills, and increases proficiency in modern cloud-native technologies, thus enhancing career opportunities in a growing domain of enterprise application development.
- Software developers and architects
- IT professionals interested in microservices and event-driven systems
- Technical project managers overseeing modern application development
- DevOps engineers focusing on continuous integration and delivery
- Systems integrators and consultants specializing in enterprise solutions
- Certified Instructor-led training
- Enhances career with in-demand skills
- Customized training programs tailored to individual needs
- Option for destination training at various global locations
- Competitively affordable pricing for quality education
- Recognized as a top training institute with high standards
- Flexible dates to accommodate personal schedules
- Conducive instructor-led online training environment
- Access to a wide range of courses across technologies
- Accredited training ensures industry acceptance and credibility
Upon completing the Event-Driven Architecture with Apache Kafka and Red Hat OpenShift Application Services Technical Overview certification training, an individual can gain skills in understanding event-driven architecture principles, using Apache Kafka to build event-driven systems, and deploying and managing Kafka on Red Hat OpenShift. They also learn to utilize Red Hat Application Services effectively for real-time data processing and streamlining application communication in a scalable, fault-tolerant manner, ensuring seamless integration and message handling within an enterprise setup.
Leading companies like LinkedIn, Netflix, Uber, and Twitter extensively use event-driven architectures with technologies like Apache Kafka. IBM, Capital One, and Goldman Sachs also seek professionals certified in these areas along with expertise in container orchestration platforms like Red Hat OpenShift.
The learning objectives of an Event-Driven Architecture with Apache Kafka and Red Hat OpenShift Application Services Technical Overview course are likely:
1. Understand the principles of event-driven architecture (EDA) and its benefits.
2. Learn the essentials of Apache Kafka as a distributed streaming platform.
3. Explore the capabilities and features of Red Hat OpenShift Application Services for running Kafka.
4. Understand the integration patterns and how to design scalable systems using Kafka on OpenShift.
5. Gain knowledge on deploying, managing, and monitoring Kafka clusters in a cloud-native environment.
6. Develop skills to create robust applications that can produce and consume events, handle large data volumes, and react in real-time.
