The Complete Guide to Kubernetes (3-Course Bundle)

The Complete Guide to Kubernetes (3-Course Bundle), available at $39.99, has an average rating of 3.42, with 72 lectures, based on 6 reviews, and has 113 subscribers.

You will learn about Build a CI/CD solution to deploy cloud-native applications using Google Cloud services such as Cloud Build, Cloud Source Repositories, and more Learn about the latest Google Cloud services and DevOps practices used to deploy modern applications in a cloud-native environment Discover what Elasticsearch, Fluentd, and Kibana are (aka the EFK stack) Create powerful visualizations for metrics stored Kibana Select the correct resources in Kubernetes to serve your infrastructure goals Best practices for working with Kubernetes This course is ideal for individuals who are This course is aimed at system administrators, developers, DevOps engineers, or any stakeholder who wants to understand how Kubernetes works. It is particularly useful for This course is aimed at system administrators, developers, DevOps engineers, or any stakeholder who wants to understand how Kubernetes works.

Enroll now: The Complete Guide to Kubernetes (3-Course Bundle)

Summary

Title: The Complete Guide to Kubernetes (3-Course Bundle)

Price: $39.99

Average Rating: 3.42

Number of Lectures: 72

Number of Published Lectures: 72

Number of Curriculum Items: 72

Number of Published Curriculum Objects: 72

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Build a CI/CD solution to deploy cloud-native applications using Google Cloud services such as Cloud Build, Cloud Source Repositories, and more

Learn about the latest Google Cloud services and DevOps practices used to deploy modern applications in a cloud-native environment

Discover what Elasticsearch, Fluentd, and Kibana are (aka the EFK stack)

Create powerful visualizations for metrics stored Kibana

Select the correct resources in Kubernetes to serve your infrastructure goals

Best practices for working with Kubernetes

Who Should Attend

This course is aimed at system administrators, developers, DevOps engineers, or any stakeholder who wants to understand how Kubernetes works.

Target Audiences

This course is aimed at system administrators, developers, DevOps engineers, or any stakeholder who wants to understand how Kubernetes works.

Kubernetes is an open-source platform designed to automate deployment, scaling, and operation of application containers. Kubernetes automates various aspects of application development, which is extremely beneficial for enterprises. This course provides you comprehensive overview of Kubernetes which will help you to be an expert in Kubernetes.

You will explore how to use Kubernetes-UI and how to set up and manage Kubernetes cluster. You will also learn about the Google Cloud services you can use to develop and deploy cloud-native applications to Kubernetes. You will learn how modern DevOps techniques and methodologies used in a cloud-native environment help you streamline the software delivery process. You will be able to use centralized logging and monitoring techniques for debugging purposes to find out reasons for crashes, and trigger alerts if there is a spike in error messages (which can be more efficient than a system health check). Finally, you will learn how to debug issues with the Kubernetes cluster infrastructure and presents a working conceptual model of how clusters operate. You will be addressing common problems faced by developers in cluster management, monitoring, and logging. Subsequently, we examine common issues when creating and deploying apps on Kubernetes.

Course Curriculum

Chapter 1: Hands-On Cloud Native Development with Kubernetes

Lecture 1: The Course Overview

Lecture 2: What Does Cloud-Native Mean?

Lecture 3: Working on a Cloud-Native Software Delivery Platform

Lecture 4: Understanding Cloud Build and Cloud Source Repositories

Lecture 5: Cloud Pub/Sub and Cloud Functions

Lecture 6: Configuring and Overview of a Google Kubernetes Engine

Lecture 7: Storing Code in Cloud Source Repositories

Lecture 8: Implementing CI/CD Workflows with Cloud Build

Lecture 9: Build, Test, and Push Docker Images to the Container Registry

Lecture 10: Configuring Cloud Pub/Sub for Notifications from the Container Registry

Lecture 11: Configure a Highly Available Kubernetes Cluster in GKE

Lecture 12: Differences Between Google Kubernetes Engine and kubeadm

Lecture 13: Getting Familiar with kubectl

Lecture 14: Deploying Our First Cloud- Native Application to GKE

Lecture 15: Scaling out the Application With kubectl

Lecture 16: End-to-end Continuous Delivery Workflow in Action

Chapter 2: Centralized Logging and Monitoring with Kubernetes

Lecture 1: The Course Overview

Lecture 2: Introduction to Centralized Monitoring and Logging with EFK

Lecture 3: Overview of Elasticsearch

Lecture 4: Overview of Fluentd

Lecture 5: Overview of Kibana

Lecture 6: Step-By-Step Guide to Implementing the EFK Stack

Lecture 7: Creating the Kubernetes Cluster in Google Cloud Platform

Lecture 8: Sending Kubernetes Cluster Metrics to EFK

Lecture 9: Kubernetes Cluster Observability in Detail

Lecture 10: Running Containerized Workloads on Kubernetes

Lecture 11: Sending and Analyzing Application Logs to EFK

Lecture 12: Application Monitoring and Logging at Scale

Lecture 13: Creating Kubernetes Monitoring Dashboards in Kibana

Lecture 14: Creating Application Monitoring Dashboards in Kibana

Lecture 15: Leveraging Kibana to Debug and Troubleshoot Application Issues

Chapter 3: Troubleshooting Kubernetes

Lecture 1: The Course Overview

Lecture 2: Planning and Installing

Lecture 3: Resource Management

Lecture 4: Scenario – Insufficient Cluster Capacity

Lecture 5: Pod Security Policy

Lecture 6: Troubleshooting Networking Issues

Lecture 7: Scenario – Deploy the Debug Tool

Lecture 8: DNS or Pod-to-Service Communication Issues

Lecture 9: Scenario – Kubernetes Dashboard Loading Is Slow

Lecture 10: Multi-Platform Kubernetes Cluster

Lecture 11: Taints and Tolerations

Lecture 12: Common Issues with Multi-Platform Clusters

Lecture 13: Scenario – Pending State Post-Deployment

Lecture 14: Kubernetes Cluster Management

Lecture 15: Creating and Managing Kubernetes Objects

Lecture 16: Viewing Kubernetes Resources Using Kubectl CLI

Lecture 17: Modifying Kubernetes Resources Using Kubectl CLI

Lecture 18: Kubectl CLI Issue

Lecture 19: Kubernetes Dashboard Overview

Lecture 20: Logging Architecture and Logging Patterns in Kubernetes

Lecture 21: Cluster-Level Logging in Kubernetes

Lecture 22: Common Issues Related to Logging

Lecture 23: Resource Allocation and Configuration Aspects of the Logging Backend

Lecture 24: Kubernetes Monitoring

Lecture 25: Key Resources to Monitor and Related Metrics

Lecture 26: Alerts

Lecture 27: Working with Replication Controllers

Lecture 28: Deployment with Replica Sets – Next – Generation Replication Controllers

Lecture 29: Running Jobs – Run Once and Forget

Lecture 30: Using Deployments

Lecture 31: Using DaemonSet to Run Code on Multiple Nodes

Lecture 32: Targeting Deployment to Specific Nodes

Lecture 33: Setting Resource Limits for Application

Lecture 34: Capabilities and Security Policies

Lecture 35: Troubleshooting Application Deployment Issues

Lecture 36: Handling Out Of Memory Errors

Lecture 37: Handling Garbage Collection and Eviction Thresholds

Lecture 38: Services for Kubernetes Explained

Lecture 39: Service Discovery and Routing

Lecture 40: Ingress Resources Explained

Lecture 41: Troubleshooting Application Access Issues

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 2 votes

5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!