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We're here to help you find itThe DO378 Red Hat Cloud-native Microservices Development with Quarkus course is designed to equip developers with the skills to build and maintain scalable microservices using Quarkus. This course focuses on the creation of Microservice architectures, their components, and patterns to facilitate responsive, efficient, and maintainable systems. It delves into the Quarkus framework, providing hands-on Quarkus training to implement, build, and deploy microservices within an OpenShift cluster, emphasizing Fault tolerance and Application health checks.
Learners will also gain experience in securing microservices, testing them with Unit and integration tests, and monitoring them using Metrics and Distributed tracing. By the end of the course, participants will be prepared for the Quarkus certification, demonstrating their ability to leverage Quarkus for enterprise Java microservices development. This course is an invaluable resource for developers looking to enhance their Cloud-native development competencies.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the DO378 Red Hat Cloud-native Microservices Development with Quarkus course, students are recommended to have the following minimum prerequisites:
These prerequisites ensure that participants can comfortably grasp the course's complex concepts and hands-on exercises. If you do not meet all the prerequisites, self-study resources can help bridge the knowledge gap before starting the course.
DO378 Red Hat Cloud-native Microservices Development with Quarkus is a course designed for developers seeking to build and deploy microservices using Quarkus on OpenShift.
Target audience for the DO378 course includes:
Gain expertise in developing and deploying microservices with Red Hat's Quarkus framework, enhancing application performance and resilience in cloud-native environments.
Microservice architectures are a method of designing software systems by breaking them down into small, independent components called microservices. Each microservice focuses on performing one specific task and communicates with other microservices through simple, well-defined interfaces. This architecture enables better scalability, faster development cycles, and easier maintenance compared to traditional monolithic systems. It allows teams to deploy and update parts of a system independently, reducing downtime and risk during updates. Furthermore, because microservices are modular, different programming languages and technology stacks can be used for each, offering flexibility and leveraging the best tools for specific tasks.
Fault tolerance in technology refers to the ability of a system to continue operating without interruption when one or more of its components fail. By designing systems with redundant components, such as additional servers or databases, operations can seamlessly switch over to these standby elements during a component failure. This ensures that services remain available and data remains accessible despite hardware or software issues. Fault tolerance is crucial for maintaining system reliability and continuous service in environments where uptime is critical.
Application health checks are routine assessments performed to ensure that a software application is running smoothly and efficiently. These checks involve monitoring key performance indicators such as uptime, response time, and error rates to identify potential issues before they impact users. By regularly conducting health checks, organizations can maintain optimal performance and minimize downtime, making the application reliable and efficient for end-users. This process is critical for maintaining the overall health and usability of digital applications, particularly in complex environments.
Unit testing involves checking individual components of a software application to ensure each part functions correctly on its own. Integration testing, on the other hand, involves combining these individual units and testing them as a group to ensure they work together as expected. Both are crucial for maintaining software reliability and performance throughout the development process.
Metrics are tools used to measure and track the effectiveness and results of various processes. In technology, metrics help evaluate the performance, efficiency, and quality of software systems and applications. These measures are crucial for decision-making and improvements in project management, software development, and system operations. Metrics provide quantitative data to assess progress against objectives, identify trends, and facilitate strategic planning. They are essential in ensuring technology meets business goals and operates optimally.
Distributed tracing is a method used to monitor applications, especially those built using microservices architecture, where each part of the application operates independently but communicates with others. This technique helps in understanding the journey of requests as they travel through various services, identifying bottlenecks, and pinpointing failures. By capturing and analyzing the flow of transactions across system boundaries, distributed tracing provides a detailed, real-time view of an application's performance and health, facilitating efficient troubleshooting and optimization of software systems.
Cloud-native development is a method of building and running applications that capitalize on the advantages of the cloud computing model. This technique fosters innovation by utilizing scalable, flexible infrastructures that allow software developers to build, deploy, and manage applications more dynamically. By designing applications specifically for cloud environments, developers can ensure their applications are resilient, manageable, and observable. This development style supports continuous delivery, enabling frequent updates and improvements through automated deployments, which is crucial for businesses aiming to stay competitive in rapidly changing digital markets.
Quarkus is a Java framework designed for building and deploying microservices and serverless applications, which are types of software designed to run small, scalable tasks efficiently. Quarkus is particularly well-suited for creating applications that can start up quickly and use less memory, making it a good choice for environments where conserving resources is crucial, such as cloud computing. Its efficient design allows Java developers to optimize their applications for cloud environments with ease. Additionally, Quarkus supports both imperative and reactive programming, enhancing flexibility and response time. Quarkus training and certifications are available to help developers master this technology.
Microservices are a software development style where applications are built as a collection of small, autonomous services. Each service performs a specific function and communicates with other services through simple, well-defined interfaces. This approach allows different services to be developed, deployed, and scaled independently, which increases the flexibility and reliability of applications. Microservices are often used in modern software environments to enhance agility and improve the efficiency of continuous delivery systems. This architecture supports a diverse range of platforms and technologies, making it a versatile choice for complex, evolving software applications.
OpenShift is a Kubernetes-based platform that allows developers to build, deploy, and manage applications in the cloud. It provides automated operations to streamline workflows like scaling, monitoring, and managing applications. OpenShift helps maintain consistency across environments and enhances security features, making it easier for developers to focus on writing code without worrying about the underlying infrastructure. Additionally, OpenShift supports a range of programming languages and frameworks, ensuring flexibility in application development.
DO378 Red Hat Cloud-native Microservices Development with Quarkus is a course designed for developers seeking to build and deploy microservices using Quarkus on OpenShift.
Target audience for the DO378 course includes:
Gain expertise in developing and deploying microservices with Red Hat's Quarkus framework, enhancing application performance and resilience in cloud-native environments.
