Xu hướng chính là Kubernetes (Phiên bản sơ cấp~trung cấp)

⚓Kubernetes (Kuberentes, Containerd, Docker Hub, Helm, Jenkins, Kustomize, ArgoCD) 🙇‍♀️Still hesitating? 🙋‍♂️Just trust and follow me! With theory and practice, I'll bring your skills to ⭐another level.

⚓ Kubernetes (Prometheus, Grafana, Loki, OpenTelemetry)🙇‍♀️Are you still hesitating? 🙋‍♂️Just trust me and follow me! I will make your skills ⭐another level.

⚓Kubernetes (Docker Desktop, Nginx, Minio, Longhorn) 🙇‍♀️Still hesitating? 🙋‍♂️Just trust me and follow! I will make your skills ⭐another level.

If you want to improve your Kubernetes skills, this is a must-learn essential deployment technology.

If you want to improve your Kubernetes skills, this is a must-learn essential deployment technology.

🔥 This is a practical full-stack course that implements the knowledge sharer functionality exactly as is, from course registration to video upload. Using Next.js 15 and NestJS, you will build along the actual Inflearn flow, covering course creation, curriculum setup, thumbnail and video upload, and detailed introduction writing. You will gain practical, real-world experience, including Prisma modeling, JWT authentication, S3 + CloudFront upload, and Swagger API design.

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 'Linux Introduction' course that's easy for non-majors to understand and immediately applicable in practice!

This course, Part3 of the Full-stack Course Series, solidly teaches the latest server and Docker technologies. It's structured to practically integrate Docker into your tech stack, meticulously testing its options, learning necessary related tech like Linux, and building complex services.

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.

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.

In this course, you will be able to create a Reddit website from scratch, step by step.

From theory to practice. You can learn the entire web development process by deploying your self-developed website to the cloud.

I've created a 'Kafka Introduction' course that is easy for non-technical users to understand and immediately applicable in practice!

Let's create your own shopping mall in a Docker environment regardless of Mac or Windows ^^

Learn from the beginning how to set up a development environment that even an ordinary office worker can easily understand. It is practice-oriented and focuses on students learning various development tools such as Vim, VS Code, Git, Docker, and remote development. You can learn how to build an efficient development environment by learning step-by-step from the basic usage of each development tool to advanced functions.

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.

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

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

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.

Instead of long and boring theories, you can learn them one by one through short practical exercises, and as you flesh them out one by one, you will soon be able to experience the overall architecture composition.

In just 2 hours of hands-on practice, we build a local LLM with RAG-based QA system using the Docker + ollama + R2R framework. (Internal/in-house QA systems, personal portfolios, AI-powered work capabilities, and even commercial services are possible.)