Learn how to see in numbers and graphs how many tokens your Spring AI chatbot and RAG service uses, how slow it is, and how often it fails. Using just Actuator, which Spring developers are familiar with, you’ll extract the metrics Spring AI is already recording and build dashboards with Prometheus + Grafana.

Beyond traditional Jenkins-based CI/CD, this course also covers GitOps deployments using ArgoCD. You will design and implement CI/CD and GitOps deployment strategies for dev, staging, and production environments by combining Jenkins and ArgoCD. You will work with both push-based Jenkins and pull-based ArgoCD, directly comparing the two approaches on the same cluster to build a practical hybrid deployment pipeline. You will practice essential deployment techniques for operations, including Canary, Blue-Green, RBAC, approval procedures, incident response, and automatic rollback.

This is a practical course on building a RAG-based document search system using the OpenAI API and Spring AI in a Spring Boot environment. You will learn the entire process of developing an AI assistant step by step, from the concepts of Prompt Engineering, Vector Stores, and Embeddings to rapid prototyping with Dify, MCP tool integration, multimodality, and guardrails. You can learn practical application strategies by comparing direct implementation with the use of no-code tools. 🆕 [Update] Section 4 now includes a supplementary lecture (1 hour) on TypeSafe’s Jev decision-making model, covering how to design an agent’s decision-making logic in greater depth.

This course explores MSA design patterns, implementation strategies, and various content crucial for microservice application development. You will acquire core knowledge and practical methods for successfully converting existing monolithic applications to MSA. You will analyze diverse design patterns underpinning microservice architecture, learning their suitable contexts and application methods.

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.

We will introduce the SW required for developing web applications using Java, and learn how to install and use the required SW. We will also introduce the setup process and execution method for starting Java web programming in IntelliJ IDEA Community, a programming development tool from Jetbrains (https://www.jetbrains.com/). Through this lecture, you can practice the basic process and tools used for developing web applications.

Understand the basic knowledge required to build a virtual environment, create a virtual environment suitable for your environment using tools called Vagrant + VirtualBox, and build a Docker and Kubernetes Cluster. You can also introduce and practice virtualization SW suitable for macOS environments using Apple silicon chips.

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.

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.

This course covers the process of developing a RESTful Web Services application using Spring Boot, and you can learn the basic knowledge required for designing a REST API.

This lecture introduces the setup process for starting web programming in IntelliJ IDEA, a Java programming development tool from Jetbrains (https://www.jetbrains.com/).