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    Kubernetes Hands-On - Deploy Microservices To The Aws Cloud (updated 9/2022)

    Posted By: ELK1nG
    Kubernetes Hands-On - Deploy Microservices To The Aws Cloud (updated 9/2022)

    Kubernetes Hands-On - Deploy Microservices To The Aws Cloud
    Last updated 9/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 14.59 GB | Duration: 28h 2m

    Use Kubernetes to deploy a Microservice architecture. You'll deploy, manage and monitor a live Kubernetes cluster.

    What you'll 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
    Requirements
    Some previous knowledge of Docker is useful, but an overview is provided as part of the course
    Previous knowledge of AWS is useful for the later sections of the course; however all the concepts are explained in detail and this would serve as a great first project on AWS
    We'll be using the terminal throughout the course so some (basic) familiarity of terminal operations is assumed
    You will need a modern computer with at least 8Gb of RAM to run the practical sessions
    Description
    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 Stack and 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!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction to Kubernetes Microservices course

    Lecture 2 Code for the course

    Lecture 3 Support for Apple M1 users

    Section 2: Welcome to Kubernetes

    Lecture 4 Introducing Kubernetes

    Lecture 5 Hands-on Project

    Section 3: Installing Minikube for local Kubernetes Development

    Lecture 6 Extra note for Linux Users

    Lecture 7 If you already have Docker installed…

    Lecture 8 Setting up Virtualization

    Lecture 9 (Windows 10 Professional Only): Setting up Hyper-V

    Lecture 10 Installing kubectl and minikube

    Lecture 11 Troubleshooting Minikube

    Section 4: (optional) Docker Quickstart

    Lecture 12 Docker Overview

    Lecture 13 Docker Containers vs Images

    Lecture 14 Attention Apple M1 Users!

    Lecture 15 Running Containers from DockerHub

    Section 5: Kubernetes Pods

    Lecture 16 Pods Overview

    Lecture 17 Writing a Pod

    Lecture 18 Running a Pod

    Section 6: Services in Kubernetes

    Lecture 19 Important note for Docker Desktop and Driver Users

    Lecture 20 Services

    Lecture 21 NodePort and ClusterIP

    Lecture 22 Pod Selection with Labels

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

    Lecture 23 Exercise: Deploy ActiveMQ as a Pod and Service

    Section 8: Kubernetes ReplicaSets

    Lecture 24 ReplicaSets

    Lecture 25 Writing a ReplicaSet

    Lecture 26 Applying a ReplicaSet to Kubernetes

    Section 9: Kubernetes Deployments

    Lecture 27 Deployments Overview

    Lecture 28 Managing Rollouts

    Section 10: Networking and Service Discovery

    Lecture 29 Networking Overview in Kubernetes

    Lecture 30 A quick note about DNS pods

    Lecture 31 Namespaces - kube-system

    Lecture 32 Note for M1 Architectures

    Lecture 33 Accessing MySQL from a Pod

    Lecture 34 Cygwin extra - fixing the terminal with winpty

    Lecture 35 Service Discovery

    Lecture 36 Fully Qualified Domain Names (FQDN)

    Section 11: Microservice Architectures

    Lecture 37 WARNING - possible resource problems!

    Lecture 38 An Introduction to Microservices

    Lecture 39 Introduction to Microservices Part 2

    Lecture 40 Fleetman Microservices - setting the scene

    Lecture 41 Deploying the Queue

    Lecture 42 Deploying the Position Simulator

    Lecture 43 Inspecting Pod Logs

    Lecture 44 Deploying the Position Tracker

    Lecture 45 Deploying the API Gateway

    Lecture 46 Deploying the Webapp

    Section 12: Kubernetes Persistence and Volumes

    Lecture 47 Persistence

    Lecture 48 Upgrading to a Mongo Pod

    Lecture 49 Mongo Service

    Lecture 50 Expanding the Minikube VM

    Lecture 51 Volume Mounts

    Lecture 52 Volumes

    Lecture 53 PersistentVolumeClaims

    Lecture 54 StorageClasses and Binding

    Section 13: Running Kubernetes on the AWS Cloud

    Lecture 55 Warning

    Lecture 56 Getting started with AWS

    Lecture 57 Managing a Cluster in the Cloud

    Lecture 58 EKS vs Kops - Which to Choose?

    Lecture 59 Pricing Differences - EKS vs Kops (prices correct mid 2020)

    Lecture 60 Choose Your Own Adventure!

    Section 14: KOPS - Running Kubernetes on the AWS Cloud

    Lecture 61 This Section is for Kops!

    Lecture 62 Introducing Kops - Kubernetes Operations

    Lecture 63 Installing the Kops Environment - 2021 Update

    Lecture 64 Configuring your first cluster

    Lecture 65 Running the Cluster

    Section 15: EKS - Running Kubernetes on the AWS Cloud

    Lecture 66 This section is for EKS

    Lecture 67 Getting started with EKS

    Lecture 68 Install eksctl and AWS CLI

    Lecture 69 Configure the AWS credentials

    Lecture 70 Install kubectl

    Lecture 71 Start the cluster

    Section 16: Operating your Cluster

    Lecture 72 This section is for both EKS and Kops

    Lecture 73 Provisioning SSD drives with a StorageClass

    Lecture 74 Warning - problems with AWS LoadBalancers

    Lecture 75 Note for Kops users

    Lecture 76 Deploying the Fleetman Workload to Kubernetes

    Lecture 77 Setting up a real Domain Name

    Lecture 78 Surviving Node Failure

    Lecture 79 Replicating Pods in Kubernetes

    Section 17: Deleting the Cluster in Kops

    Lecture 80 Deleting the Cluster

    Lecture 81 Restarting the Cluster

    Section 18: Deleting the Cluster in EKS

    Lecture 82 How to delete your EKS cluster

    Lecture 83 One last cluster deletion step

    Section 19: Extra - how to run Kubernetes in Google Cloud

    Lecture 84 How to deploy to Google Cloud Platform

    Section 20: Logging a Kubernetes Cluster

    Lecture 85 Introducing the ELK / ElasticStack

    Lecture 86 Installing the Stack to Kubernetes

    Lecture 87 Kibana - first look

    Lecture 88 Setting Filters and Refreshes

    Lecture 89 Demo: analysing a system failure

    Lecture 90 Kibana Dashboards

    Section 21: Monitoring a Kubernetes Cluster with Prometheus and Grafana

    Lecture 91 Monitoring a Cluster (2020 update)

    Lecture 92 Installing the kube-prometheus-stack

    Lecture 93 Use the "Classic UI" in the next video

    Lecture 94 Using the Prometheus UI

    Lecture 95 Introducing Grafana

    Lecture 96 (optional) How to Use NodePorts on a Cluster

    Section 22: The Alert Manager

    Lecture 97 Introducing Alerts - 2020 Update

    Lecture 98 Preparing a Slack Channel

    Lecture 99 Configuring the AlertManager

    Lecture 100 Troubleshoot the alertmanager.yaml config

    Lecture 101 Dealing with Firing Alerts

    Lecture 102 The AlertManager UI and how to Silence Alerts

    Lecture 103 How to handle the Watchdog

    Lecture 104 Using PagerDuty

    Lecture 105 Case Study

    Lecture 106 Case Study: Troubleshooting a "Delinquent" node

    Section 23: (Kops only): What Happens If The Master Node Crashes?

    Lecture 107 What happens if the Master Node crashes? (Kops clusters only!)

    Section 24: Going Further with Kubernetes

    Lecture 108 Introduction to the "Advanced Section"

    Lecture 109 Code / files for this section

    Section 25: Kubernetes Requests and Limits

    Lecture 110 Memory requests

    Lecture 111 CPU Requests

    Lecture 112 Memory and CPU Limits

    Section 26: Metrics Profiling in Kubernetes

    Lecture 113 Enabling the Metrics Server

    Lecture 114 Viewing Metrics on the Dashboard

    Lecture 115 Tuning Java Spring Boot Applications, Heap restriction

    Lecture 116 Setting reasonable Requests

    Section 27: Horizontal Pod Autoscaling

    Lecture 117 Update: you will need to modify the yaml file in the next video

    Lecture 118 Introducing Replication and Autoscaling

    Lecture 119 Testing Autoscaling

    Section 28: Readiness and Liveness Probes

    Lecture 120 Demo: why readiness probes are needed

    Lecture 121 Applying Liveness and Readiness Probes

    Section 29: Quality of Service and Eviction

    Lecture 122 Understanding the scheduler

    Lecture 123 QoS labels

    Lecture 124 Evictions

    Lecture 125 Pod Priorities

    Section 30: Kubernetes ConfigMaps and Secrets

    Lecture 126 Creating a ConfigMap

    Lecture 127 Consuming a ConfigMap as Environment Variables

    Lecture 128 Do changes to a ConfigMap get propagated?

    Lecture 129 How to consume multiple environments variables with envFrom

    Lecture 130 Mounting ConfigMaps as Volumes

    Lecture 131 Creating Secrets

    Lecture 132 Using Secrets

    Lecture 133 Where have we already used ConfigMaps and Secrets?

    Lecture 134 (extra) Using Spring Cloud Kubernetes to Hot Reload ConfigMaps

    Section 31: Ingress Controllers

    Lecture 135 Introducing Ingress

    Lecture 136 Defining Routing Rules

    Lecture 137 Adding Routes

    Lecture 138 Authentication

    Lecture 139 Running Ingress on AWS

    Lecture 140 Testing the Ingress Rules

    Lecture 141 (Extra) setting up HTTPS with TLS termination at the load balancer

    Section 32: Other Workload Types

    Lecture 142 Batch Jobs

    Lecture 143 Cron Jobs

    Lecture 144 DaemonSets

    Lecture 145 StatefulSets Overview

    Lecture 146 StatefulSets for Database Replication

    Lecture 147 Demo: Scaling out a Mongo Database

    Section 33: Continuous Deployment on a Kubernetes Cluster

    Lecture 148 Introducing CI/CD

    Lecture 149 Establishing a GitHub organization

    Lecture 150 Setting up a Basic Jenkins System

    Lecture 151 Defining a Pipeline

    Lecture 152 Update - creating a Personal Access Token from Github

    Lecture 153 Another minor update!

    Lecture 154 Running a Multibranch Pipeline

    Lecture 155 Reviewing Builds

    Lecture 156 Organization Pipelines

    Lecture 157 Continuous Deployment into a Cluster

    Section 34: Introducing Helm

    Lecture 158 Getting Started with Helm

    Lecture 159 How do I Install a Helm Chart

    Lecture 160 How to Find Helm Charts

    Lecture 161 Installing a Monitoring Stack with Helm

    Lecture 162 Working with Chart Values

    Lecture 163 Customising values.yaml

    Lecture 164 Avoiding Snowflake Clusters!

    Lecture 165 Using Helm Pull to Take Control of a Chart

    Lecture 166 Generating yaml with "Helm Template"

    Lecture 167 Why would you write your own Helm Charts?

    Lecture 168 Writing Go Templates for Helm

    Lecture 169 Helm Functions and Pipelines

    Lecture 170 Flow Control in a Helm Template

    Lecture 171 Named Templates

    Lecture 172 Inspecting a Professional Helm Chart

    Section 35: Goodbye!

    Lecture 173 Goodbye!

    Lecture 174 Bonus Lecture

    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.