Everything About Deployment and Infrastructure—from Your First Deployment to Replacement, Observability, and Recovery

From Docker fundamentals to service deployment and operations, Yalco explains everything using easy analogies and illustrations. Build an image with the provided bulletin board app, then use Compose to connect the app, MySQL, and Nginx. Practice firsthand how to preserve data even when replacing containers, as well as backup and restoration, updates, and rollbacks. You’ll also learn how to automate image builds and checks with GitHub Actions.

This curriculum was newly created for Kubernetes beginners, made with the intention of explaining it to a colleague who is encountering Kubernetes for the first time. Rather than just commands, you'll learn from cloud native concepts and understand the operating principles of Kubernetes.

Not all commands are the same. We distinguish between aliases, keywords, functions, builtins, and external commands. We organize 102 coreutils commands into a single map. It also packs in 61 Bash built-in commands, 22 keywords, as well as find, grep, pipes, compression, and more. This guide helps you avoid getting lost at the command prompt. Even when an error occurs, you’ll be able to guess where things went wrong. ● Those who use commands but don’t know why they behave the way they do ● Those who need a comprehensive review and greater depth after an introductory course ● Those who want to explore Linux professionally Practice environments: Windows (WSL), Ubuntu, Rocky Linux 44 lessons in total, approximately 13 hours A command map personally organized by an instructor with 27 years of experience.

Replace synchronous coupon issuance and product registration APIs that buckle under sale-launch traffic with a queue, outbox, idempotent consumer, DLQ, and Temporal—and reproduce the before-and-after metrics (latency, failure rate, and DB commits) under the same load on my computer using Docker.

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.

I want to launch a side project as a real service and study Kubernetes, but managed services from AWS/GCP (EKS, GKE, etc.) are too expensive. On the other hand, running it only on a local computer makes it difficult to experience network configurations or actual deployment environments. We will utilize the "Always Free" tier of Oracle Cloud (OCI), which offers the most powerful free benefits among existing public clouds. By installing the lightweight yet powerful k3s, we will build a Linux server and Kubernetes environment capable of hosting actual services from scratch—all at zero cost. After taking this course, you will gain a general understanding of cloud networking and possess your own Kubernetes cluster infrastructure where you can deploy and operate your applications for free.

I build a DBA agent right on my laptop in Docker that measures MySQL and PostgreSQL every morning, creates a diagnostic report with A/B/C/N letter grades, analyzes problematic queries with EXPLAIN and drafts improvement requests, and reviews plans and costs for scaling connections and Readers up or down before a sale.

There are moments when a price changes in another window but doesn’t show up on your screen, even though it says “Connected.” Let’s walk through real execution logs, step by step—from how to choose between polling, long polling, SSE, and WebSocket with two virtual auction windows open, to resynchronizing after a disconnect and tracking changes across multiple servers and proxies.

Running MongoDB on Kubernetes is different from simply putting it in a container. There are many things you can only learn by dealing with storage, networking, permissions, and high availability firsthand. This course covers the entire process of configuring and operating MongoDB using the PSMDB (Percona Server for MongoDB) Operator in an AWS EKS environment. The goal is to directly build a production-ready configuration, from cluster setup to Replica Set configuration, backup, and monitoring.

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.

We fix product and event APIs that buckle under traffic at sale launch with local L1 and remote L2 caches, stampede prevention, invalidation, and a kill switch—and prove with before-and-after numbers how much bandwidth, latency, and database load drop under the same traffic.

What should you prepare in PostgreSQL ahead of a large-scale event, and what should you check first when it goes live? Practice the response sequence before, during, and after the event with hands-on experiments in educational Aurora PostgreSQL that trigger lock waits, deadlocks, VACUUM delays, failovers, and Reader CPU spikes—along with diagnostic SQL and playbooks for seven event types.

This course focuses not simply on how to configure NGINX, but on solving the problems that arise in interviews and real-world work when you do not understand why these structures and configurations are necessary. Based on experience serving as an interviewer at Naver, Kakao, and Toss and evaluating countless candidates, the course explains, with hands-on practice, how to describe and use NGINX from the perspectives of performance, scalability, and operations. The core of this course is helping you develop a way of thinking that allows you to understand traffic flow and track down problems, rather than merely memorize configuration values.

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

🔥 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.

The ultimate goal of this course is to go beyond programming using IPC tools and to "develop the ability to appropriately select and design/implement IPC tools that fit software requirements."

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.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

To those of you hesitating whether to study Linux shell scripting, I will tell you just one thing. Do you want to handle Linux coolly like a hacker? Can you imagine a hacker who doesn't know shell scripting? Then start right now!