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6 tutorials for modern app development

Tutorials, guides, and solution patterns to level up your development skills

February 24, 2023
Jaya Christina Baskaran
Related topics:
Event-DrivenIntegrationKafka
Related products:
Streams for Apache KafkaRed Hat build of Apache CamelRed Hat build of DebeziumRed Hat build of QuarkusRed Hat OpenShiftRed Hat OpenShift API Management

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    Technologies like application and API connectivity accelerate the development and delivery of business solutions so you can spend more time innovating and driving competitive differentiation. As a modern application developer, you can use these features to develop skills that will set you apart from your competitors and increase the efficiency of your work. 

    Red Hat Application Foundations offers a comprehensive set of components to help developers develop and modernize application software. It is designed to help build, deploy, and operate applications with security in mind and at scale across the hybrid cloud.

    You can use the technology with applications that run on-premises or in the cloud. When combined with Red Hat OpenShift, Red Hat Application Foundations creates a platform that streamlines execution across the entire application life cycle.

    This article presents quick tutorials, guides, and solution patterns that can help you gain a deeper understanding of the following technologies:

    • Application and API connectivity
    • Data transformation
    • Service composition and orchestration
    • Real-time messaging and data streaming

    1. An extensive Kafka learning path

    Red Hat Developer's learning paths can teach you all levels of Apache Kafka, from a fundamental, basic level to developing an application that uses the Kafka Streams DSL (Domain Specific Language). The step-by-step guides span anywhere from 30 minutes to 1 hour in length.

    • Learn Apache Kafka by doing

    2. Enhance applications with Application Services

    You can use Kafka to build event-driven applications. This solution pattern introduces a streaming platform (Apache Kafka) to generate a stream of user activity events from the application web user interface (UI).

    • https://redhat-solution-patterns.github.io/solution-pattern-enhancing-applications

    Read more about Red Hat's architecture and design patterns.

    3. Use change data capture for stack modernization

    This solution pattern brings an architectural solution for scenarios where service integration must happen through data integration and cause no impact to the existing stack.

    • https://redhat-solution-patterns.github.io/solution-pattern-modernization-cdc

    4. Boost Apache Camel performance on Quarkus

    Check out how easy it is to create a Camel Quarkus project and experience the significant performance benefits for yourself.

    • Boost Apache Camel performance on Quarkus

    5. A step-by-step guide to Camel K basics

    New to Camel K? Apache Camel K is a lightweight integration framework built from Apache Camel that runs natively on Kubernetes and is specifically designed for serverless and microservice architectures. Learn more about how to install and run Camel K with this guide.

    • Learn the basics of Camel K

    6. A 4-step learning path for API management

    Proper API management is extremely beneficial to an organization, but APIs can be tricky to work with. Red Hat has just the solution.

    • Red Hat OpenShift API Management learning

    Conclusion

    Empower yourself! Focus on high-value initiatives by quickly adding new capabilities to your applications with these learning paths, rather than focusing on managing and maintaining complex platforms. Offload tedious responsibilities with Red Hat Application Foundations.

    Leave a comment to let us know what tutorials you would like to see more of!

    Last updated: January 22, 2024

    Related Posts

    • Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 1

    • Six reasons to love Camel K

    • Design event-driven integrations with Kamelets and Camel K

    • Change data capture for microservices without writing any code

    • Change data capture with Debezium: A simple how-to, Part 1

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