인프런 - 라이프타임 커리어 플랫폼

This is a practical Ansible course taught by Silicon Valley engineers. Ansible is a powerful tool for automated infrastructure management and provisioning, saving time and effort and building a consistent environment.

From Docker, Kubernetes to microservices, CI/CD, and service mesh, you can easily learn not only the basic theory but also the actual application implementation through examples. By organizing only the core contents necessary for actual use, it provides a starting point for learning about the element technologies covered in the lecture.

From the core of Kafka to in-depth content on internal mechanisms, the course is structured so that even beginners can quickly reach the expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

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

[Update 2025.04] Enhance your Kubernetes skills cost-effectively with theory and practice. Through this course, you too can easily jump on the bandwagon.

Created a 'Kubernetes Intro/Practical' course: easy for non-majors, immediately practical!

I've created an AWS intro course, easy for non-specialists to understand and immediately applicable!

This lecture will teach you the basic commands required for performance analysis of Linux servers, how to use the tcpdump command to solve network problems, and troubleshooting methods based on cases. Through this lecture, you will be able to solve various performance problems that occur on Linux servers.

This course will teach you how to understand the internal operations, monitor, and troubleshoot based on cases that are essential for operating an ElasticSearch cluster. Through this course, you will be able to operate an ElasticSearch cluster more stably.

This is for those who want to deploy/operate services with AWS. From domain settings to Docker and serverless!

This is a process of creating your own backend API server, using Node-based Strapi v4, without any additional coding, with just a few clicks, and deploying it to AWS EC2. Almost the same can be applied to Strapi v5. Please refer to the lecture A/S as well~

This course is a process of learning about container virtualization technology, one of the four components that make up Cloud Native Architecture. It is a learning process that understands the basic concepts of container virtualization, which is the best way to deploy and operate Microservice applications, and covers Docker technology, which is the most widely known container virtualization technology. In addition to theoretical learning about the essential content required to deploy and operate applications developed in MSA form, you can understand how actual Docker containers work through related practical examples. In this course, you can also learn about various elements such as Docker Security and Logging that have not been covered in other existing lectures, and in the final practical project, you can build services (Harbor + Argocd) that can be linked to Docker technology and deploy applications to practice the core operating environment required for DevOps.

This course allows you to learn the basic theory of DevOps and Infrastructure as Code (IaC), one of the fundamentals of DevOps. Through this course, you can properly understand IT-based services from a DevOps perspective and practice defining infrastructure as code for service operations. Upon completing the course, you will be able to easily create and manage the basic AWS resources needed for service operations using a tool called Terraform. Since AWS must be managed as code, this course is also essential for basic AWS study.

Do you still feel like something is lacking even after taking all the AWS beginner, intermediate/advanced courses? The AWS practical course is just for you.

Have you completed the AWS beginner course but are you still lacking 2%? You thought you knew a lot about AWS but there are still some areas that need to be refined? Let's fill in that 2% with the AWS intermediate/advanced course! Until the day you become a Data Engineer Expert!

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.

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.

GCP (Google Cloud Platform) is Google's cloud computing service, offering a variety of infrastructure and platform services. This allows you to leverage various functionalities.

The curriculum was created with commands that actual developers use. It does not cover complex concepts related to OS installation or management. You can quickly learn the basics of Linux usage in 2 hours.

Redis is a fast and scalable open-source database. This technology is used to maximize performance in real-time applications, games, social media platforms, and more. However, to truly understand the power of Redis and use it effectively, you need a deep understanding. Now is your chance to learn Redis in a professional way. "Redis with Silicon Valley Engineers" covers a wide range of topics, from the core concepts of Redis to advanced features. This course is designed for everyone, from beginners who are new to Redis to advanced users.