Inflearn - Lifetime Career Platform

This is a hands-on introductory course for AWS cloud beginners that follows and learns basic AWS cloud network knowledge.

Learn how to utilize RabbitMQ to implement asynchronous architecture—the most fundamental method for processing large-scale data—through a tutorial format designed for easy understanding from basics to advanced applications based on Spring Boot 3.3. Learning materials (Notion links and Git Branch URLs) are provided for each lecture chapter. Please be sure to check the class notes.

⚓Kubernetes (Kubernetes, Containerd, Docker Hub, Helm, Jenkins, Kustomize, ArgoCD) 🙇‍♀️Are you still hesitating? 🙋‍♂️Just trust me and follow along! Through theory and hands-on practice, I will take your skills to ⭐another level.

I have created an 'Nginx Introduction/Practical' course that is easy for non-majors to understand and can be applied immediately in practice!

I have created a course titled 'Introduction and Practice of Load Testing for Large-Scale Traffic Handling' that is easy for non-majors to understand and can be applied immediately in practice!

I have created an introductory and practical Docker course that is easy for non-majors to understand and can be applied immediately in the real world!

I have created an introductory CI/CD course that is easy to understand even for non-majors and can be applied immediately in practice!

This course is a process of learning about container virtualization technology, one of the four components that make up Cloud Native Architecture. It is a learning process that understands the basic concepts of container virtualization, which is the best way to deploy and operate Microservice applications, and covers Docker technology, which is the most widely known container virtualization technology. In addition to theoretical learning about the essential content required to deploy and operate applications developed in MSA form, you can understand how actual Docker containers work through related practical examples. In this course, you can also learn about various elements such as Docker Security and Logging that have not been covered in other existing lectures, and in the final practical project, you can build services (Harbor + Argocd) that can be linked to Docker technology and deploy applications to practice the core operating environment required for DevOps.

⚓Kubernetes (Docker Desktop, Nginx, Minio, Longhorn) 🙇‍♀️Are you still hesitating? 🙋‍♂️Just trust me and follow along! I will take your skills to the ⭐next level.

Do you still feel like something is lacking even after taking all the AWS beginner, intermediate/advanced courses? The AWS practical course is just for you.

Have you completed the AWS beginner course but are you still lacking 2%? You thought you knew a lot about AWS but there are still some areas that need to be refined? Let's fill in that 2% with the AWS intermediate/advanced course! Until the day you become a Data Engineer Expert!

I have created a 'Kubernetes Introduction/Practice' course that is easy for non-majors to understand and can be applied immediately in the field!

If you want to work for a long time as a super developer who can handle the entire process of service development and operations alone, building a solid foundation in IT infrastructure knowledge is just as important as learning various programming languages!

This involves designing and implementing the application, directly designing and configuring the Cloud infrastructure architecture, and running the developed program in a Cloud environment.

This course covers CI (Continuous Integration) and CD (Continuous Deployment) pipelines, which are one of the four core elements (MSA, CI/CD, DevOps, Container) that make up cloud native applications. Through this course, you can understand and practice the processes needed to build and deploy your own automated pipeline in both local and cloud environments using Jenkins, a CI/CD tool.

I have created an introductory AWS course that is easy to understand even for non-majors and can be applied immediately in practice!

From the core of Kafka to in-depth content on internal mechanisms, the course is structured so that even beginners can quickly reach the expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

GCP (Google Cloud Platform) is Google's cloud computing service, offering a variety of infrastructure and platform services. This allows you to leverage various functionalities.

Learn essential Linux knowledge that every developer should know, even if they're not a DevOps or Linux expert. The class will be hands-on and practice-oriented.

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.