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A compact and easy-to-understand and implement Kubernetes ELK log monitoring system

In addition to acquiring basic knowledge about the ELK stack and various Kubernetes resources, you can also gain practical experience using Kubernetes by building a log monitoring system.

(5.0) 4 reviews

60 learners

  • Aiden Kim
이론 실습 모두
공식문서
Kubernetes
elk
monitoring
minikube
infrastructure

Reviews from Early Learners

What you will learn!

  • Understanding each resource in Kubernetes

  • Understanding the ELK Stack

  • Experience deploying ELK stack on Kubernetes

  • Experience using basic ELK stack tools

What is the ELK stack?

This refers to a stack comprised of log monitoring tools like Elasticsearch, Logstash, and Kibana . Each tool in this stack performs data processing, storage, analysis, and visualization, so they're often used together when building a log monitoring system. ( Filebeat , a data collection tool, is also often used in conjunction with this stack.)

I prepared this lecture with the thought that deploying these ELK stack tools as each resource on a Kubernetes cluster , confirming that they are organically connected to each other , and using them directly would be a good hands-on experience for those who are just learning Kubernetes .


Want to gain practical Kubernetes experience?

Have you heard of the ELK stack, but are curious about how to deploy and use it?

If so, you've come to the right place. This course will give you hands-on experience building and using a log monitoring system using the ELK (with Filebeat) stack in a local Kubernetes environment.


After taking this course...

  • You will gain practical experience using Kubernetes by deploying the ELK stack yourself and building a Log Monitoring system .

  • You can gain a deeper understanding of Kubernetes by taking a basic theory class on Kubernetes infrastructure and deploying each component of the ELK stack using only Kubernetes basic resources .

  • You will gain fundamental knowledge of each component of the ELK stack .

Learning Content

This course is divided into a theory part and a practical part.

A theory class that is easy to understand through pictures

The theory behind Kubernetes and ELK stack tools is explained in a compact and easy-to-understand manner with illustrations.

Create a Kubernetes resource definition file and deploy immediately.

After creating a resource definition file to deploy ELK tools on Kubernetes, deploy it directly in the terminal and check the results.

We will proceed with practical training by reviewing the official documentation for Kubernetes and ELK.

Since you will be reviewing the official documentation for each Kubernetes and ELK tool during your practice, you will be able to reduce any awkwardness with the official documentation.

Kibana Data Visualization Practice

Learn the basics of using Kibana's Discover feature, which allows you to explore log data, and the Dashboard feature, which visualizes data, through hands-on practice.

Things to note before taking the course

  • This course will be conducted on a local Kubernetes cluster built using a tool called minikube .

    • In this lecture, we will show you how to install and use minikube, but to proceed with the hands-on lab, you must have a virtualization tool like Docker and kubectl , a Kubernetes cluster management tool, installed in advance on your lab PC.

  • The version of the ELK stack tools used in this lecture is 7.10.2, the latest open source distribution.


    • Since we will cover the basics of a monitoring system using the open source version of the ELK tool, the X-Pack features developed by Elastic will not be covered in this lecture.

Practice environment

Learning Materials

  • The example resource definition files required for this lecture's practical exercises are provided through the Github repository link in the lecture notes for the relevant lecture.

  • We will also share the Docker image links and settings for each tool required for other practical training through the lecture notes .

Player Knowledge and Precautions

  • Here are some things you should know before taking this course:

    • Why Use Kubernetes?


    • Basic knowledge of kubectl


    • Basic knowledge of container technologies such as Docker

Recommended for
these people

Who is this course right for?

  • Anyone who is learning about Kubernetes and wants to gain hands-on experience

  • Anyone who wants to build an ELK log monitoring system on Kubernetes

Need to know before starting?

  • Why use Kubernetes?

  • Basic knowledge of kubectl

  • Basic knowledge of container technologies such as Docker

Hello
This is

60

Learners

4

Reviews

4

Answers

5.0

Rating

1

Course

💻좋은 시스템과 프로세스를 꾸준히 고민하는 DevOps 엔지니어입니다.

️DevOps와 클라우드 관련 지식 공유에 관심이 많습니다.

 

  • 현재 외국계 IT 기업에서 DevOps 엔지니어로 근무 중

  • 클라우드 네이티브 기술을 좋아하는 CNCF Kubestronaut 멤버

기술 블로그: https://guide-to-devops.github.io/

뉴스레터: https://aidenslab-newsletter.beehiiv.com/

Curriculum

All

18 lectures ∙ (4hr 14min)

Published: 
Last updated: 

Reviews

All

4 reviews

5.0

4 reviews

  • kimpro2님의 프로필 이미지
    kimpro2

    Reviews 1

    Average Rating 5.0

    5

    33% enrolled

    • aidenkim
      Instructor

      キムプロさん、こんにちは! 受講レビューを残していただき、ありがとうございます🙂 もし講座内容の中で、さらに気になった点やフィードバックがありましたら、いつでも気軽にお知らせください! 今後、より良い講座や知識を共有できるよう努めてまいります :)

  • sskim13792님의 프로필 이미지
    sskim13792

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    Kubernetesの簡単な基本説明から丁寧に解説してくださり、概念を再確認できてよかったです。全体的なELK Stackの基礎的な概念を掴むのに良い講義でした。追加で、ELK Stackを拡張して可用性を確保する方法や、単純なログのデモアプリではなく、実際のアプリケーションのWEBサーバーのログとWASのログを収集するような内容があれば、もっと良かったです!講義、ありがとうございました!

    • aidenkim
      Instructor

      こんにちは、sskim1さん!素敵なレビューをいただきありがとうございます! 今回の講義では、KubernetesとELKの基本的な概念をより効率的にお伝えできるよう努めました。各技術の基礎概念を掴んでいただけたようで嬉しいです。🙂 そして、追加で扱ってほしい内容もご提案いただき、本当にありがとうございます! ELKスタックの可用性確保策と、実際に動作中のサーバーのログ収集内容は、追加で扱うのにとても良いテーマだと思います。これらのテーマは私のTo-Doリストに入れて構想してみようと思います。今後、関連内容を本講義にアップデートする際には、sskim1さんに必ずお知らせいたします。改めて感謝申し上げます!

  • pixelo님의 프로필 이미지
    pixelo

    Reviews 1

    Average Rating 5.0

    5

    89% enrolled

    • aidenkim
      Instructor

      こんにちは、pixloさん!受講評点をお寄せいただきありがとうございます🙂 もし講義内容の中でさらに 궁금했던 점이나 개선 의견がありましたらいつでもお気軽にお知らせください!今後、より良い講義と知識の共有に努めてまいります。 ありがとうございます!

  • wjdgus님의 프로필 이미지
    wjdgus

    Reviews 11

    Average Rating 4.9

    5

    100% enrolled

    Minikubeを使ってローカルにクラスターを作成し、そこにELK設定を直接してみて、そのスタックについて素早く理解できる講義でした。 😊😊😊

    • aidenkim
      Instructor

      こんにちはキム・ジョンヒョン! こんなに頑張ってくれて素敵な受講評まで残してくれて本当にありがとうございます😊😊 本講義を制作する際にk8s上にELKモニタリングシステムを配布して活用する過程をどのようにすれば簡単に説明できるか悩んでいました。 ELKスタックについてすばやく理解できたのはとても嬉しくてやりがいがあります。😊 残してくださった受講評と星占いを滋養分とし、今後より良い講義と知識共有するよう努めます。 ありがとうございます!

$23.10

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