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IT & Software Other IT & Software Docker

Logging in Kubernetes with EFK Stack | The Complete Guide

Learn how to set up K8s cluster from scratch and configure logging with ElasticSearch, Fluentd and Kibana
Bestseller
Rating: 4.7 out of 54.7 (138 ratings)
425 students
Created by Nana Janashia
Last updated 9/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Set up logging in Kubernetes
  • Create Kubernetes cluster from scratch
  • ElasticSearch, Kibana, FluentD
  • Set up Docker private repository
  • StatefulSet, DaemonSet, Helm
  • Build, tag, push Docker images to private repository

Requirements

  • Know basics of Kubernetes
  • Know basics of Docker

Description

You will learn how to:

  • set up a Kubernetes cluster from scratch

  • configure fully functioning logging in Kubernetes cluster with EFK Stack

With following steps:

  • configure Java and NodeJS applications to produce logs, package them into Docker images and push into a Docker private repository.

  • create Kubernetes cluster on a cloud platform (Linode Kubernetes Engine)

  • deploy these application Docker images in the cluster

  • deploy ElasticSearch, Kibana and Fluentd in the cluster

  • configure Fluentd to start collecting and processing the logs and sending them to ElasticSearch

  • configure Kibana to visualise the log data stored in ElasticSearch


Who this course is for:

  • DevOps engineers
  • Software developers
  • System administrators
  • People, who want to setup logging in their K8s cluster
  • People, who want to learn how Elastic/EFK stack works in Kubernetes
  • People, who want to learn how to deploy and configure applications in K8s cluster

Featured review

Jesho Carmel
Jesho Carmel
24 courses
14 reviews
Rating: 5.0 out of 54 months ago
The course is super good. Nana managed to share a lot of knowledge in a short time. The commands used in the course are explained in detail. I would recommend anyone to watch the kubernetes playlist in Nana's channel before starting this course. Thanks Nana :)

Course content

9 sections • 36 lectures • 1h 53m total length

  • Preview02:05

  • Preview01:01
  • Build Nodejs app Docker image
    06:45
  • Build Java app Docker image
    06:36
  • Create private Docker registry and push images
    05:49

  • Preview00:44
  • Create Kubernetes cluster in LKE
    03:05
  • Connect to remote cluster with Kubectl
    01:37
  • Deploy Kubernetes Dashboard
    02:24
  • Kubernetes Dashboard Overview
    01:52

  • Preview00:19
  • Configure private Docker registry credentials in k8s
    02:58
  • Deploy Java app in cluster from registry
    05:31
  • Deploy Nodejs app in cluster from registry
    01:58
  • Container logs in k8s cluster
    01:00

  • Preview00:51
  • Preview05:30
  • StatefulSet vs Deployment | briefly explained
    02:00
  • Helm and Helm Chart | briefly explained
    02:10

  • Preview00:13
  • Install Helm
    01:18
  • Deploy ElasticSearch in K8s
    12:09
  • Deploy Kibana in K8s
    03:12

  • Preview00:11
  • Ingress explained
    02:32
  • Deploy Ingress Controller in K8s
    02:30
  • Create Ingress for Kibana | Access Kibana from browser
    05:16

  • Preview00:47
  • Fluentd explained
    01:12
  • Deploy Fluentd in K8s
    02:08
  • Fluentd DaemonSet & Fluentd config file explained
    11:52
  • Configure Fluentd | Collect application logs
    02:54
  • Configure Fluentd | Send logs to ElasticSearch | Kibana UI
    04:24
  • Configure Fluentd | Parse log entries | Kibana UI
    05:38
  • Visualizing logs in Kibana | Final notes
    02:46

  • End Notes
    00:25

Instructor

Nana Janashia
Teaching the world how to Kubernetes <3
Nana Janashia
  • 4.7 Instructor Rating
  • 138 Reviews
  • 425 Students
  • 1 Course

I am teaching complex DevOps topics focused on Kubernetes and Docker in an easy and understandable way!

I am passionate about sharing my knowledge about DevOps and software development through my Youtube Channel and the various online courses and e-books.

If you are also interested in DevOps and Software engineering and all things Kubernetes, Docker etc, I would be happy to connect with you on social media!


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