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Architecting with Google Kubernetes Engine

Workloads 한국어

Google Cloud Training

'Google Kubernetes Engine으로 설계하기: 워크로드' 과정에서는 Kubernetes 작업 수행, 배포 생성 및 관리, GKE 네트워킹 도구, Kubernetes 워크로드에 영구 스토리지를 부여하는 방법을 알아봅니다.

Google Kubernetes Engine으로 설계하기 시리즈의 두 번째 과정입니다. 이 과정을 이수한 후 안정적인 Google Cloud 인프라: 설계 및 프로세스 과정 또는 Anthos에서 사용하는 하이브리드 클라우드 인프라 기초 과정에 등록하세요.

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What's inside

Syllabus

과정 소개

이 모듈을 통해 과정의 구조 및 레이아웃을 숙지할 수 있습니다.

Kubernetes 작업

이 모듈에서는 Kubernetes 클러스터 내 리소스와 상호작용하고 이를 관리하는 데 사용되는 명령줄 유틸리티인 kubectl 명령어에 대해 알아봅니다. kubectl 명령어를 Google Kubernetes Engine 클러스터에 연결하는 방법, 이를 사용하여 Kubernetes 클러스터 내에서 포드 및 기타 객체를 생성하고, 검사하고, 상호작용하고, 삭제하는 방법을 알아봅니다. 또한 kubectl을 사용하여 포드의 콘솔 출력을 확인하고 대화형으로 포드에 로그인하는 방법도 배웁니다.

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수강생은 안정된 Google Cloud 인프라: 설계 및 프로세스 과정 또는 Anthos에서 사용하는 하이브리드 클라우드 인프라 기초 과정을 먼저 수강하고 나서 이 과정을 수강하도록 권장합니다

이는 Google Cloud Training에서 제작한 코스입니다

코스는 구글 Kubernetes 엔진의 설계와 워크로드 관리에 중점을 둡니다

쿠버네티스 배포와 작업, 확장, 네트워킹, 영구 데이터 및 저장소를 포함한 핵심 쿠버네티스 개념을 다룹니다

실습 연습과 데모를 제공하여 학습 경험을 보강합니다

이 코스는 쿠버네티스 워크로드를 설계하고 관리하는 데 필요한 지식과 기술을 습득하려는 클라우드 엔지니어 및 개발자를 위한 것입니다

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Reviews summary

Gke 워크로드 관리 및 아키텍처 핵심

학생들은 Google Kubernetes Engine (GKE) 워크로드의 관리와 아키텍처를 이해하는 데 이 과정이 매우 유익하다고 말합니다. 특히 실습 중심의 접근 방식과 명확한 설명이 큰 강점으로 꼽히며, GKE 초보자나 해당 분야에 대한 지식이 많지 않은 학습자들에게 견고한 기초를 제공한다고 평가됩니다. Kubernetes 명령어(`kubectl`) 사용법과 배포 및 확장 개념, GKE 네트워킹, 그리고 영구 스토리지에 대한 내용이 체계적으로 구성되어 있다는 의견이 많습니다. 일부 학습자들은 실습 환경의 안정성과 최신 GKE 업데이트 반영에 대한 개선의 여지를 언급하기도 합니다. 전반적으로 실무 적용에 유용한 지식을 얻을 수 있는 과정으로 보입니다.

GKE 및 Kubernetes에 대한 기본적인 지식 습득에 좋습니다.

"GKE 초보자에게는 매우 유용한 과정입니다. 차근차근 배울 수 있었어요."

"이전 경험이 없어도 충분히 따라갈 수 있도록 쉽게 설명해 줍니다."

"쿠버네티스에 대한 입문용으로 이 과정을 추천하고 싶습니다."

배운 지식을 실제 업무에 바로 활용할 수 있습니다.

"실무에 바로 적용할 수 있는 내용이 많았어요."

"이 과정에서 배운 내용들이 실제 프로젝트에서 많은 도움이 될 것 같습니다."

"Kubernetes와 GKE를 실제 환경에서 어떻게 활용해야 할지 감을 잡게 해주었습니다."

복잡한 GKE 개념을 쉽고 체계적으로 설명합니다.

"GKE 기본을 배우기에 아주 좋았습니다. 컨셉을 명확하게 설명해 주어서 좋았습니다."

"강의 내용이 체계적이고 따라하기 쉬웠습니다. 초보자도 이해할 수 있도록 잘 구성되어 있습니다."

"쿠버네티스 워크로드 관리에 대한 이해를 높이는 데 큰 도움이 되었습니다."

실제 경험을 제공하는 실습이 매우 효과적입니다.

"실습이 매우 유익했고, 컨셉을 명확하게 설명해 주어서 좋았습니다."

"핸즈온 랩이 많아서 이론을 바로 적용해볼 수 있어서 이해도가 높아졌어요."

"직접 따라하며 배울 수 있어 GKE 환경에 빠르게 익숙해질 수 있었습니다."

일부 학습자는 실습 환경에서 기술적 어려움을 경험했습니다.

"개념 설명은 좋았으나, 일부 실습 환경에서 오류가 발생하여 진행에 어려움이 있었습니다."

"간혹 실습 환경 설정에 문제가 있어 시간을 많이 할애했습니다."

"랩이 작동하지 않는 경우가 있어 진행에 방해가 되는 부분이 아쉬웠습니다."

최신 GKE 업데이트 반영 여부에 대한 의견이 엇갈립니다.

"일부 내용이 오래된 것 같아요. 최신 GKE 업데이트가 반영되지 않은 부분이 보입니다."

"전반적으로 유익했지만, 몇몇 부분은 GKE의 최근 변화를 따라가지 못하는 듯했습니다."

"최신 버전의 GKE에 맞춰 내용이 업데이트된다면 더 좋을 것 같습니다."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Architecting with Google Kubernetes Engine: Workloads 한국어 with these activities:

학습 자료 정리 및 검토

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교육 자료를 정기적으로 검토하여 기억을 복습하고, 필기 노트를 정리하고, 이해하지 못하는 부분을 파악하는 데 도움이 됩니다.

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강의 자료 복습
연습 문제 풀기

Kubernetes 명령어 연습

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명령줄 도구인 kubectl을 사용하여 Kubernetes 클러스터와 상호 작용하고 객체를 관리하여 실제적인 경험을 쌓습니다.

Show steps

kubectl的基本 명령어 연습
포드 생성, 검사, 수정
서비스 및 배포 관리

Kubernetes 네트워킹 탐구

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Kubernetes 클러스터 내부 및 외부 네트워크를 구성하고 관리하는 데 필요한 핵심 개념과 기술에 대한 이해를 심화합니다.

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네임스페이스 및 네트워크 정책 이해
서비스 및 인그레스 제어 방식
컨테이너 네트워킹 인터페이스 및 디버깅

Five other activities

Expand to see all activities and additional details

Show all eight activities

컨테이너화된 애플리케이션 개발

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Google Kubernetes Engine에 컨테이너화된 애플리케이션을 배포하고 관리하는 실습을 통해 배운 개념을 강화합니다.

Show steps

애플리케이션 컨테이너화
Kubernetes 클러스터에 이미지 배포
Kubernetes 서비스 만들기 및 공개
배포 모니터링 및 로깅

데이터 저장소 솔루션 비교

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Kubernetes 워크로드에 데이터 저장소 옵션을 조사하고 평가하여 애플리케이션 요구 사항에 가장 적합한 솔루션을 선택하는 데 도움이 됩니다.

Show steps

Cloud SQL, Cloud Storage, Cloud Bigtable 비교
영구적 볼륨 및 동적 프로비저닝 탐구

Kubernetes 워크로드 구성

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Kubernetes 배포와 작업을 관리하고, 애플리케이션의 안정성과 확장성을 보장하기 위한 구성 방법을 탐구하고 실천합니다.

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배포 정의 만들기
작업 리소스 정의
애플리케이션 확장 및 업데이트
보건 확인 및 자동 확장 구성

Kubernetes 워크로드 논의

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다른 학생들과 함께 Kubernetes 워크로드의 복잡성을 논의하고, 문제 해결 전략을 공유하고, 서로의 학습을 강화합니다.

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워크로드 배포 및 관리 토론
네트워킹 구성 및 디버깅

ContainerDays 콘퍼런스 참석

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Kubernetes 및 컨테이너 기술 분야의 전문가와 연결하고, 업계 동향에 대해 배우며, 네트워킹을 확장하는 기회를 제공합니다.

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업계 리더들로부터 학습
새로운 기술 및 제품 시연 탐구
동료들과 네트워킹

Career center

Learners who complete Architecting with Google Kubernetes Engine: Workloads 한국어 will develop knowledge and skills that may be useful to these careers:

Kubernetes Developer

A Kubernetes Developer builds and maintains Kubernetes-based applications. The course 'Architecting with Google Kubernetes Engine: Workloads' is a valuable resource for Kubernetes Developers. It covers topics such as Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. By taking this course, you can gain the skills and knowledge needed to excel as a Kubernetes Developer.

See salaries and explore the career path for Kubernetes Developer

DevOps Engineer

A DevOps Engineer collaborates with developers and system administrators to automate and streamline the software development process. The course 'Architecting with Google Kubernetes Engine: Workloads' is highly relevant to this role. By taking this course, you will learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. These skills can help DevOps Engineers build and maintain highly scalable and reliable cloud-based applications.

See salaries and explore the career path for DevOps Engineer

SRE

A Site Reliability Engineer (SRE) ensures the reliability and performance of software systems. The course 'Architecting with Google Kubernetes Engine: Workloads' is a valuable resource for SREs. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you build and maintain highly reliable and scalable cloud-based systems.

See salaries and explore the career path for SRE

Cloud Administrator

A Cloud Administrator manages cloud computing infrastructure. The course 'Architecting with Google Kubernetes Engine: Workloads' is relevant to this role. This course covers topics such as Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. By taking this course, you can gain the skills needed to effectively manage Kubernetes workloads in the cloud.

See salaries and explore the career path for Cloud Administrator

Data Engineer

A Data Engineer designs and builds data pipelines and systems. The course 'Architecting with Google Kubernetes Engine: Workloads' is relevant to this role. This course covers topics such as Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. By taking this course, you can learn how to use Kubernetes to manage and process large amounts of data.

See salaries and explore the career path for Data Engineer

Cloud Data Engineer

A Cloud Data Engineer designs and builds data pipelines and systems in the cloud. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Cloud Data Engineers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you build and maintain highly scalable and reliable data pipelines and systems in the cloud.

See salaries and explore the career path for Cloud Data Engineer

Platform Engineer

A Platform Engineer designs and manages software platforms and services. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Platform Engineers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you build and maintain highly scalable and reliable software platforms and services.

See salaries and explore the career path for Platform Engineer

Cloud Architect

A Cloud Architect designs and manages cloud computing systems for organizations. With the course 'Architecting with Google Kubernetes Engine: Workloads', you will learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and how to provision persistent storage for Kubernetes workloads. These skills are highly relevant to the role of a Cloud Architect. By taking this course, you can build a strong foundation for a successful career in cloud computing.

See salaries and explore the career path for Cloud Architect

IT Architect

An IT Architect designs and manages IT systems for organizations. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for IT Architects. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you design and manage highly scalable and reliable IT systems.

See salaries and explore the career path for IT Architect

Systems Engineer

A Systems Engineer designs and implements computer systems. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Systems Engineers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you design and implement highly scalable and reliable computer systems.

See salaries and explore the career path for Systems Engineer

Network Engineer

A Network Engineer designs and maintains computer networks. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Network Engineers. It covers topics such as Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. By understanding how Kubernetes networking works, you can better design and manage cloud-based networks.

See salaries and explore the career path for Network Engineer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Software Engineers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you build and maintain highly scalable and reliable software systems.

See salaries and explore the career path for Software Engineer

Full-Stack Developer

A Full Stack Developer designs, develops, and maintains both the front-end and back-end of software systems. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Full Stack Developers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you build and maintain highly scalable and reliable full-stack software systems.

See salaries and explore the career path for Full-Stack Developer

Cloud Security Engineer

A Cloud Security Engineer ensures the security of cloud computing systems. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Cloud Security Engineers. It covers topics such as Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. By understanding how to secure Kubernetes workloads, you can enhance the security posture of your organization.

See salaries and explore the career path for Cloud Security Engineer

Technical Program Manager

A Technical Program Manager manages the technical aspects of software development projects. The course 'Architecting with Google Kubernetes Engine: Workloads' may be useful for Technical Program Managers. By taking this course, you can learn about Kubernetes workloads, deployment creation and management, GKE networking tools, and persistent storage for Kubernetes workloads. This knowledge can help you effectively manage the technical aspects of your software development projects.

See salaries and explore the career path for Technical Program Manager

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Architecting with Google Kubernetes Engine: Workloads 한국어.

Docker Deep Dive

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A comprehensive reference on Kubernetes, covering a wide range of topics from installation and configuration to advanced concepts and troubleshooting. It useful resource for both beginners and experienced Kubernetes users.

(English) Docker Deep Dive

Paperback

(English) Docker Deep Dive

Paperback

Kubernetes: Up and Running

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A widely recognized guide to Kubernetes, offering detailed explanations of its concepts, architecture, and operational aspects. It provides a solid foundation for understanding and working with Kubernetes.

(English) Kubernetes: Up and Running: Dive into the Future of...

Paperback

(English) Kubernetes: Up and Running

Kindle Edition

Kubernetes in Action, Second Edition

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Provides a comprehensive overview of Kubernetes, covering its architecture, components, and best practices. It valuable resource for understanding the fundamentals and practical aspects of Kubernetes.

(English) Kubernetes in Action, Second Edition

Paperback

$$$

Cloud Native Infrastructure

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Provides a broader perspective on cloud-native infrastructure, including Kubernetes. It covers design patterns, best practices, and architectural considerations for building scalable and resilient cloud-native applications.

(English) Cloud Native Infrastructure: Patterns for Scalable...

Paperback

(English) Cloud Native Infrastructure: Patterns for Scalable...

Kindle Edition

The KCNA Book

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Provides a collection of best practices for operating and managing Kubernetes clusters. It covers topics such as security, performance optimization, and troubleshooting, offering practical guidance for effective Kubernetes operations.

Site Reliability Engineering

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Provides insights into Google's approach to site reliability engineering (SRE), which emphasizes automation, monitoring, and continuous improvement. It offers valuable principles and practices for managing large-scale distributed systems, including Kubernetes clusters.

(English) Site Reliability Engineering: How Google Runs...

Kindle Edition

Cloud Computing

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Provides a broad overview of cloud computing concepts, technologies, and architectures. It offers a good foundation for understanding the context and benefits of using Kubernetes as a cloud-native platform.

(English) Cloud Computing: Concepts, Technology &...

Hardcover

(中文) Cloud Computing: Concepts. Technology and...

Paperback

(English) Cloud Computing: Concepts, Technology &...

Kindle Edition

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