Get ready for the real thing! Master the DevOps interview - Advanced Edition

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.

Introducing a DevOps course based on hands-on case studies experienced directly on the front lines of Silicon Valley. This course goes beyond mere theory and covers CI/CD-related tools in a K8S environment that can be applied immediately in real-world engineering fields.

DevOps Interview Preparation: Master your interview preparation for Git, Docker, CI/CD, Terraform, Ansible, Kubernetes, and Monitoring.

We introduce a DevOps lecture based on practical cases experienced directly on the front lines of Silicon Valley. This lecture does not just stop at theory, but covers CI/CD related tools in an EKS environment that can be applied directly in the actual engineering field.

DevOps Interview Preparation: Master your interview preparation for Git, Docker, CI/CD, Terraform, Ansible, Kubernetes, and Monitoring.

Do you want to effectively use GitHub Actions in real life? This course introduces practical CI/CD scenarios, modularization and version management methods, and also teaches you how to deploy in a cloud environment. Let's learn the most realistic way to use GitHub Actions based on practical experience!

I've created a 'Kafka Introduction' course that even non-majors can easily understand and apply directly in real-world situations!

I've created an 'Introduction to MSA' course that even non-majors can easily understand and apply directly in real-world situations!

AWS CLF (Certified Cloud Practitioner) is an introductory course that allows you to build basic knowledge of the cloud. By increasing your understanding of AWS cloud technology and services through this certification, you can move on to more specialized certifications in the future and build the basic capabilities necessary for cloud-based development and operations.

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.

What is DevSecOps? Configure a CI build environment and an environment that automatically performs SAST checks during build

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.

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 only 163 questions!

"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.

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.

Learn cloud infrastructure automation technology using AWS and Terraform, and practice efficient infrastructure management and deployment. Manage AWS resources as code through Terraform, and learn how to deploy consistent infrastructure across various environments.

I've created a 'Linux Introduction' course that even non-majors can easily understand and apply immediately in real-world situations!

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!

‘Where and how should I store files that look like images? Should I store them in a database? Or on a server hard drive? How can I reduce server load? How can I quickly load many images without stuttering? AWS S3? CDN?! I just want to store and load images, so why are there so many elements? What role do each of these elements play, and how should they be combined?’ I will teach you all the necessary elements related to image files, from start to finish, as a full stack :)

You can learn about IAM, the foundation of AWS Zero Trust, from the basics to the details. This will help you understand what parts are actually vulnerable and where you need to pay more attention.

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.

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

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.

We'll build AWS FinOps applications using Python, learn how to structure them, and why code gets more and more difficult. Finally, we'll have a little fun with the metacognition(?) process.