Learn AWS + Terraform Basics Easily

We will write server code using the JavaScript-based web framework Express.js to understand basic usage and server operation principles. We will also study that frontend essentially requires a server, and enhance our understanding by learning about the processes behind various techniques such as static serving and dynamic rendering.

Enhance your understanding by directly implementing L2 arping and L3 ping using the libc crate in the Rust language.

DevOps Interview Preparation: Master your interview preparation for Cloud, CI/CD, Infrastructure as Code, Monitoring, Linux, Docker, and Kubernetes.

This course will help you understand how the seemingly magical Internet works.

Learn the theory and practice of Terraform based on the HashiCorp Certified: Terraform Associate (003) exam content.

I've created a cram course that will help you pass the AWS SAA-C03 (AWS Certified Solutions Architect - Associate) certification in just 2 weeks with exactly 163 questions!

Channel Talk interviewers will directly analyze the difference between failing and passing answers to the same question and help you prepare for actual follow-up questions.

From TCP/IP to HTTP! This course is prepared for those who lack basic network theory but hope to understand major-level concepts, even if it means "memorizing" them. You can do it!

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.

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 lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

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.

This is the "Network Model" episode, the first step of the basic network lecture series that you can learn even if you don't know the first thing about networks.

Python Web Development A to Z: Learning by Doing! Learn everything from web basics to blog development and deployment all at once.

A full course on Next.js you can sink your teeth into! Complete a real-world project using the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.

This lecture is expected to help students build a foundation in computer architecture.

"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.

It covers not only how to configure CRUD using Golang, but also how to use PostMan when collaborating with the front-end, and even repository management and environment construction! It contains the knowledge necessary for actual work.

It is configured to allow you to learn programming languages (Python, Terraform) for the cloud. You can directly create and apply simple yet tedious repetitive tasks, track when and how you deployed, and implement your company's unique policies that specific solutions cannot address. Specifically, we will apply a security architecture using Terraform, the most popular IaC (Infrastructure as Code) application, and also proceed with creating an ultra-simple dashboard using Python!

Learn the core HTTP features essential for practical use and how to design proper HTTP APIs.

I will transform the Engineer Information Processing written exam (Subjects 1–5) from a "test you solve by memorizing" into a "test where you connect clarified points directly to your score." This is an ultra-compressed lecture designed to help you grasp the entire flow within 3 days. It extracts only the core concepts repeated in past exams, structured to be understood even if viewed right before the test. The course is designed for short-term success by clearly distinguishing between frequently confusing concepts, trap points in multiple-choice options, and what needs to be memorized versus what only needs to be understood. "I'm short on time, but the scope is too broad." "I feel like I know the material when reading the book, but I keep getting the questions wrong." This lecture is for students facing these exact challenges.

This video is a recording of the presentation session held at < Pangyo After-Work Meetup with Inflearn #08 HTTP >.