Developing Cloud-Native Apps w& Microservices Architectures

Course Overview

This course is designed for developers, architects, and DevOps engineers who want to learn how to build and deploy microservices architectures. After completing this course, students will be prepared to take more advanced courses from Red Hat.

This course, Developing Cloud-Native Apps with Microservices Architectures, is an official Red Hat® training course led by Burr Sutter, the Chief Developer Advocate for Red Hat. It provides an in-depth look into the microservices architecture and how to combine different frameworks and tools into a microservices architecture that fits organizational needs. Through a series of videos, this course will introduce microservices, review multiple microservices frameworks and runtimes, and show students techniques to deploy them through a hassle-free DevOps pipeline. Topics covered include containers, Docker, Spring Boot, NodeJS, .NET, OpenShift, Jenkins, Vert.x, Kubernetes, and more.

This course is designed for developers, architects, and DevOps engineers who want to learn how to build and deploy microservices architectures. Upon completion of the course, students will have a better understanding of the basics of executing a microservices architecture and will be prepared to take more advanced courses from Red Hat.

[Applications]


Upon completion of this course, students will be able to apply the knowledge and skills they have learned to develop cloud-native applications with microservices architectures. They will be able to identify the proper frameworks and tools to build their microservices architecture, and be prepared to take more advanced courses from Red Hat.

[Career Paths]
1. Cloud-Native App Developer: Cloud-native app developers are responsible for developing applications that are designed to run on cloud-based platforms. They must be knowledgeable in the latest cloud technologies and have experience in developing applications that are optimized for the cloud. They must also be able to troubleshoot any issues that arise with the application and ensure that it is running smoothly. Developing trends for this job position include the use of containerization, serverless computing, and automation.

2. Microservices Architect: Microservices architects are responsible for designing and implementing microservices architectures. They must have a deep understanding of the various microservices frameworks and tools, and be able to design and deploy a microservices architecture that meets the needs of the organization. Developing trends for this job position include the use of DevOps pipelines, containerization, and automation.

3. Cloud Security Engineer: Cloud security engineers are responsible for ensuring the security of cloud-based applications and services. They must have a deep understanding of cloud security best practices and be able to identify and mitigate any potential security risks. Developing trends for this job position include the use of encryption, identity and access management, and cloud security automation.

4. DevOps Engineer: DevOps engineers are responsible for automating the development and deployment of applications. They must have a deep understanding of DevOps best practices and be able to design and implement a DevOps pipeline that meets the needs of the organization. Developing trends for this job position include the use of containerization, automation, and continuous integration/continuous delivery (CI/CD).

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. With the rise of cloud computing, this degree path is becoming increasingly popular as it prepares students to develop cloud-native applications and microservices architectures.

2. Bachelor of Science in Software Engineering: This degree path focuses on the design and development of software applications. It covers topics such as software design, software development, software testing, and software maintenance. With the rise of cloud computing, this degree path is becoming increasingly popular as it prepares students to develop cloud-native applications and microservices architectures.

3. Master of Science in Cloud Computing: This degree path focuses on the fundamentals of cloud computing, such as cloud architecture, cloud security, and cloud storage. It also covers topics such as cloud orchestration, cloud automation, and cloud analytics. With the rise of microservices architectures, this degree path is becoming increasingly popular as it prepares students to develop and manage cloud-native applications and microservices architectures.

4. Master of Science in Data Science: This degree path focuses on the fundamentals of data science, such as data mining, data analysis, and data visualization. It also covers topics such as machine learning, artificial intelligence, and natural language processing. With the rise of microservices architectures, this degree path is becoming increasingly popular as it prepares students to develop and manage cloud-native applications and microservices architectures.