Introduction to CI/CD using Jenkins (with AWS)

The most definitive practical guide for developers who want to integrate AI into their Spring projects right away! Beyond simple LLM API calls, you will perfectly master building production-level AI environments that can be immediately applied to real business logic using RAG and MCP.

The ultimate guide for job seekers and current developers new to log management and monitoring! Learn log management methods using the ELK stack, and monitoring using Prometheus and Grafana.

This is a 'Spring Batch' course that can be used immediately in practice, designed for job seekers and working developers who are new to Spring Batch!

This is a 'Spring Batch' course that can be used immediately in practice, designed for job seekers and working developers who are new to Spring Batch!

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.

You will learn about the overall DevOps process, including domain purchasing, deploying Spring Boot production servers using EKS, Docker basics, Kubernetes basics, AWS basics, CI/CD automation via GitHub Actions, ArgoCD, and Prometheus/Grafana.

Delving into Django's core concepts and key features in detail, from API development methods using DRF to deployment leveraging AWS, this covers everything about Django web development.

This is a profit-oriented practical course where you will directly develop coin/stock automated trading systems and apply real-world trading strategies such as Grid, Moving Average, and Martingale. You will build 24-hour automated trading bots through practical trading exercises using Upbit, Binance, and Korea Investment & Securities (Kiwoom Securities) APIs, along with cloud deployment, while exploring real-world strategies for monetization. #Quant #Bitcoin #Algorithm #Investment #WealthManagement #AutomatedTrading #Bot #Agent #AI #OpenClaude #ClaudeCode

This is not just a lecture for memorizing commands. It is a practical introductory course designed to help you intuitively understand the "flow" of technology—why containers emerged and the principles behind how Docker creates and runs images. Even those new to Docker will be able to explain for themselves "why containers are a necessary technology" after taking this course.

This course is Part 3 of the Full-Stack course series, designed to help you thoroughly master the latest server technologies and Docker. To enable you to genuinely incorporate Docker into your tech stack, the course meticulously tests Docker’s various options, covers related technologies such as Linux that you need to understand for Docker, and is structured so that you can even build complex real-world services.

This course takes you from the fundamentals to advanced, real-world container workflows using Docker and Kubernetes. You will start by learning containers from the ground up, understanding how Docker works and why it is widely used in modern DevOps environments. You’ll run Docker, Docker Compose, and Kubernetes locally to improve software development, testing, and deployment workflows.

We will explore the detailed features and options of AWS's most fundamental and core services, and by implementing cloud architecture step-by-step using these services, we will understand the structure and operating principles of infrastructure while building both the capability and confidence to directly construct cloud infrastructure.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

🔥 This is a practical full-stack course where you implement the entire journey a student experiences, from browsing lectures to payment and deployment. You will build everything yourself—including lecture search, detail pages, enrollment, video playback, reviews and Q&A, shopping carts, actual payments, "continue watching" features, and Docker + AWS deployment—to master user flows and architectural design close to real-world services and complete a high-level full-stack experience.

SonarQube | SonarCloud | SonarLint – DevOps + Security + QA (Most Widely Used Open-Source Tool) SonarQube is a leading open-source platform for continuous inspection of code quality. It performs automatic code reviews using static code analysis to detect bugs, code smells, security vulnerabilities, and maintainability issues across 27+ programming languages.This course is designed with a learn-by-doing approach, enabling you to gain deep, practical expertise in SonarQube and its ecosystem. Audience: This course is suitable for:Freshers, Developers, Project Managers, Architects, QA Engineers, Support Engineers, DevOps, DevSecOps, InfoSec, and Process Engineers who want to master code quality, security, and CI/CD best practices. Fundamentals & Concepts Introduction to SonarQube, SonarCloud, and SonarLint Purpose and benefits of static code analysis Understanding DevOps & DevSecOps use cases SonarQube architecture, editions, versions, and ecosystem Core SonarQube terminologies and metrics Maintainability, Reliability, and Security concepts Installation & Setup Installation and setup of SonarQube using Docker & Docker-Compose Installation and configuration of Jenkins Installation & configuration of Sonar Scanner Setup of build tools: Ant, Maven, Gradle NodeJS, Python Overview of SonarQube UI and navigation Hands-On Code Analysis Onboarding projects into SonarQube & CI pipelines Running code analysis for multiple programming languages Publishing and interpreting analysis results Reporting code coverage, unit and integration test results Understanding and analyzing: Bugs Vulnerabilities Code Smells Technical Debt Complexity Duplicated lines, files, and blocks SonarLint & IDE Integration Installing SonarLint in: Eclipse IntelliJ IDEA VS Code Configuring SonarLint Connected Mode Real-time code analysis and issue detection in IDEs Quality Management Quality Gates and Quality Profiles Creating and managing custom rules & rule templates Enforcing quality standards across teams Failing builds based on Quality Gate conditions Handling and fixing identified issues Administration & Configuration Project administration User, group, permission, and token management Plugin installation and management Security configuration of SonarQube SMTP configuration and email notifications Branding SonarQube UI with company logo SonarQube Marketplace & system details Security & SAST SAST (Static Application Security Testing) fundamentals Security vulnerability analysis SAST integration with CI/CD pipelines CI/CD & DevOps Integrations Integration with Jenkins (Jobs & Pipelines) Integration with GitHub & GitHub Actions Integration with GitLab & GitLab CI/CD Automating quality checks in CI/CD workflows Failing CI/CD pipelines based on SonarQube Quality Gates Advanced Topics Using the SonarQube Web API for automation, monitoring, and data extraction Best practices for enterprise-grade SonarQube deployments By the End of This Course, You Will Be Able To: Define and manage Quality Gates, Quality Profiles, and Rules Analyze code locally using SonarLint Perform secure and scalable static code analysis Integrate SonarQube with GitHub, GitLab, and Jenkins Enforce code quality and security standards across CI/CD pipelines Confidently administer and customize a SonarQube instance

A solo IT startup founder and solo entrepreneur's experience distilled into an honest, straightforward, intuitive, and deep React + Spring Boot course (Docker, AWS, GitHub Actions) I just unified everything into this one course.

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

"AWS deployment tutorials - have you ever followed them without knowing 'why' you're doing it?" If you've launched services by following the countless deployment tutorials on the internet but are only performing repetitive tasks, the next step of designing entire systems might feel overwhelming. We don't just learn how to use AWS, but study the CS (Computer Science) principles that form the foundation of cloud services, including VPC, NAT, load balancing, and MSA. Upon completing the course, you'll be able to answer the clear 'Why' behind each action you perform in the cloud. You'll no longer be a junior developer performing simple repetitive tasks, but will take your first step toward becoming a senior architect who designs fault-tolerant and scalable systems.

Directly assess various threats that may arise in AWS security environments, and expand your security operations capabilities by experiencing monitoring, detection, and response processes through hands-on exercises and security scenarios.

Learn the basic data structures of REDIS and examples of practical use of REDIS through redis-cli (command) practice.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.