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Kubernetes Hands-On – Deploy Microservices to the AWS Cloud

Development

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Kubernetes Hands-On – Deploy Microservices to the AWS Cloud, available at $109.99, has an average rating of 4.63, with 201 lectures, based on 7639 reviews, and has 53912 subscribers.

You will learn about Deploy containers to a Kubernetes Cluster Run Kubernetes in AWS using either EKS or Kops Monitor a live Kubernetes cluster using Prometheus and Grafana Analyse system-wide logs using the ELK Stack (ElasticStack); Kibana and ElasticSearch Handle Alerts in a Kubernetes cluster by notifying Slack Channels Understand how Requests and Limits work in Kubernetes Use Kubernetes Horizontal Pod Autoscaling Configure Ingress Control on a live Kubernetes deployment Understand Kubernetes StatefulSets Integrate Kubernetes with a Continuous Deployment System (CD) Use Helm to Manage Charts and to Dynamically Update your Kubernetes YAML This course is ideal for individuals who are Anyone wanting to use Kubernetes on live production projects or We will be using AWS in the later sections of the course (optional); all AWS concepts are explained so this is a great start if you're new to the cloud, but be aware that AWS do charge for usage. It is particularly useful for Anyone wanting to use Kubernetes on live production projects or We will be using AWS in the later sections of the course (optional); all AWS concepts are explained so this is a great start if you're new to the cloud, but be aware that AWS do charge for usage.

Enroll now: Kubernetes Hands-On – Deploy Microservices to the AWS Cloud

Summary

Title: Kubernetes Hands-On – Deploy Microservices to the AWS Cloud

Price: $109.99

Average Rating: 4.63

Number of Lectures: 201

Number of Published Lectures: 186

Number of Curriculum Items: 201

Number of Published Curriculum Objects: 186

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

  • Deploy containers to a Kubernetes Cluster
  • Run Kubernetes in AWS using either EKS or Kops
  • Monitor a live Kubernetes cluster using Prometheus and Grafana
  • Analyse system-wide logs using the ELK Stack (ElasticStack); Kibana and ElasticSearch
  • Handle Alerts in a Kubernetes cluster by notifying Slack Channels
  • Understand how Requests and Limits work in Kubernetes
  • Use Kubernetes Horizontal Pod Autoscaling
  • Configure Ingress Control on a live Kubernetes deployment
  • Understand Kubernetes StatefulSets
  • Integrate Kubernetes with a Continuous Deployment System (CD)
  • Use Helm to Manage Charts and to Dynamically Update your Kubernetes YAML

Who Should Attend

  • Anyone wanting to use Kubernetes on live production projects
  • We will be using AWS in the later sections of the course (optional); all AWS concepts are explained so this is a great start if you're new to the cloud, but be aware that AWS do charge for usage.

Target Audiences

  • Anyone wanting to use Kubernetes on live production projects
  • We will be using AWS in the later sections of the course (optional); all AWS concepts are explained so this is a great start if you're new to the cloud, but be aware that AWS do charge for usage.

Kubernetes is one of the hottest topics right now, and engineers with Kubernetes skills are in big demand.

Get those skills with this course! It’s is a great chance to work on a real Kubernetes project, and to get yourself to a high professional standard on real projects.

All the way through the course you’ll be working on realistic requirements – but you don’t need to be a coder or know any particular programming language – I’ve prepared for you a set of Docker images, and your job is to use Kubernetes to get these images running.

The system is a Microservice-based architecture, and along the way, we’ll look at design decisions and trade-offs you need to make when managing these complex systems. Note the course isn’t about how to design Microservices (although we’ll certainly be talking about that); the development work is done and we need to get the system running on a production cluster.

We’ll also discover that the developers have made some bad mistakes in their code, by analyzing the run time performance of the cluster!

You can do the first part of the course on your local development computer (PC/Mac/Laptop). The second part (from Chapter 13 onwards) moves to the cloud. You’ll use a real AWS account, and we go-ahead to set up monitoring with the ELK/Elastic Stackand monitor with Prometheus and Grafana.

The course now supports EKS,the AWS Elastic Kubernetes Service,but we also show how to use the alternative system, called Kops. The pros and cons of each are explained in detail.

I’ve designed this course for a wide audience – whether you’re a DevOps engineer, a developer, or if you’re quite new to the whole field, I’ll explain everything along the way. Just some basic knowledge of working with computers, and maybe a bit of command-line experience will suffice.

You will need an AWS account for a part of the course if you want to work on the system yourself. If you’re new to AWS then don’t worry, I’ve got you covered -but Amazon will charge you for running the system (as with all/most cloud providers). Expect to pay no more than around 10USD for this (this is a safe overestimate), but you are expected to manage this spend yourself and you must delete your Kubernetes cluster at the end of your session. Don’t let that put you off, it’s a great investment.

You can absolutely just watch the AWS videos if you’d prefer not to incur these costs – you will still learn plenty!

As always, I’m here to answer questions and I aim to respond within 48 hours.

Good luck!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Kubernetes Microservices course

Lecture 2: Code for the course

Lecture 3: Support for Apple M1 ,M2 users

Chapter 2: Welcome to Kubernetes

Lecture 1: Introducing Kubernetes

Lecture 2: Hands-on Project

Chapter 3: Installing a Local Kubernetes for Development

Lecture 1: Options for Installing Kubernetes

Lecture 2: Installing Docker Desktop for Kubernetes

Lecture 3: Running Kubernetes Inside Docker Desktop

Lecture 4: Using Minikube (as an alternative)

Lecture 5: Choosing a Minikube Driver

Chapter 4: (optional) Docker Quickstart

Lecture 1: Important note for anyone with Docker/Docker Desktop installed

Lecture 2: Docker Overview

Lecture 3: Docker Containers vs Images

Lecture 4: Attention Apple M1/M2 Users!

Lecture 5: Running Containers from DockerHub

Chapter 5: Kubernetes Pods

Lecture 1: Pods Overview

Lecture 2: Writing a Pod

Lecture 3: Running a Pod

Chapter 6: Services in Kubernetes

Lecture 1: Important note for Docker Desktop and Driver Users

Lecture 2: Services

Lecture 3: NodePort and ClusterIP

Lecture 4: Pod Selection with Labels

Chapter 7: Exercise: Deploy ActiveMQ as a Pod and Service to Kubernetes

Lecture 1: Extra note for Docker Desktop users

Lecture 2: Exercise: Deploy ActiveMQ as a Pod and Service

Chapter 8: Kubernetes ReplicaSets

Lecture 1: ReplicaSets

Lecture 2: Writing a ReplicaSet

Lecture 3: Applying a ReplicaSet to Kubernetes

Chapter 9: Kubernetes Deployments

Lecture 1: Deployments Overview

Lecture 2: Managing Rollouts

Chapter 10: Networking and Service Discovery

Lecture 1: Networking Overview in Kubernetes

Lecture 2: A quick note about DNS pods

Lecture 3: Namespaces – kube-system

Lecture 4: Note for M1 Architectures

Lecture 5: Accessing MySQL from a Pod

Lecture 6: Cygwin extra – fixing the terminal with winpty

Lecture 7: If you have a problem with MySql in the next video

Lecture 8: Service Discovery

Lecture 9: Fully Qualified Domain Names (FQDN)

Chapter 11: Microservice Architectures

Lecture 1: minikube with VirtualBox/HyperV users only – possible resource problems!

Lecture 2: An Introduction to Microservices

Lecture 3: Introduction to Microservices Part 2

Lecture 4: Fleetman Microservices – setting the scene

Lecture 5: Deploying the Queue

Lecture 6: Deploying the Position Simulator

Lecture 7: Inspecting Pod Logs

Lecture 8: Deploying the Position Tracker

Lecture 9: Deploying the API Gateway

Lecture 10: Deploying the Webapp

Chapter 12: Kubernetes Persistence and Volumes

Lecture 1: Persistence

Lecture 2: Upgrading to a Mongo Pod

Lecture 3: Mongo Service

Lecture 4: Expanding the Minikube VM

Lecture 5: Volume Mounts

Lecture 6: Volumes

Lecture 7: PersistentVolumeClaims

Lecture 8: StorageClasses and Binding

Chapter 13: Running Kubernetes on the AWS Cloud

Lecture 1: Warning

Lecture 2: Getting started with AWS

Lecture 3: Managing a Cluster in the Cloud

Lecture 4: EKS vs Kops – Which to Choose?

Lecture 5: Pricing Differences – EKS vs Kops (prices correct mid 2020)

Lecture 6: Choose Your Own Adventure!

Chapter 14: KOPS – Running Kubernetes on the AWS Cloud

Lecture 1: This Section is for Kops!

Lecture 2: Introducing Kops – Kubernetes Operations

Lecture 3: Installing the Kops Environment – 2021 Update

Lecture 4: Configuring your first cluster

Lecture 5: Running the Cluster

Chapter 15: EKS – Running Kubernetes on the AWS Cloud

Lecture 1: This section is for EKS

Lecture 2: Getting started with EKS

Lecture 3: Install eksctl and AWS CLI

Lecture 4: Configure the AWS credentials

Lecture 5: Install kubectl

Lecture 6: Changing the instance types

Lecture 7: Start the cluster

Chapter 16: Operating your Cluster

Lecture 1: This section is for both EKS and Kops

Lecture 2: Extra Steps for EKS Users

Lecture 3: A note for if you were developing on a Mac M1 or Mac M2

Lecture 4: Provisioning SSD drives with a StorageClass

Lecture 5: Warning – problems with AWS LoadBalancers

Lecture 6: Note for Kops users

Lecture 7: A note for Mac users on Apple silicon

Lecture 8: Deploying the Fleetman Workload to Kubernetes

Lecture 9: Setting up a real Domain Name

Lecture 10: Surviving Node Failure

Instructors

Rating Distribution

  • 1 stars: 37 votes
  • 2 stars: 60 votes
  • 3 stars: 369 votes
  • 4 stars: 2186 votes
  • 5 stars: 4986 votes

Frequently Asked Questions


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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!

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