Kubernetes Hands-On - Deploy Microservices to the AWS Cloud
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.
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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!
Watch Online Kubernetes Hands-On - Deploy Microservices to the AWS Cloud
| # | Title | Duration |
|---|---|---|
| 1 | Introduction to Kubernetes Microservices course | 03:06 |
| 2 | Introducing Kubernetes | 08:34 |
| 3 | Hands-on Project | 02:50 |
| 4 | Options for Installing Kubernetes | 12:27 |
| 5 | Installing Docker Desktop for Kubernetes | 02:22 |
| 6 | Running Kubernetes Inside Docker Desktop | 11:01 |
| 7 | Using Minikube (as an alternative) | 12:46 |
| 8 | Choosing a Minikube Driver | 25:02 |
| 9 | Docker Overview | 02:47 |
| 10 | Docker Containers vs Images | 13:22 |
| 11 | Running Containers from DockerHub | 12:45 |
| 12 | Pods Overview | 09:14 |
| 13 | Writing a Pod | 05:07 |
| 14 | Running a Pod | 10:55 |
| 15 | Services | 07:32 |
| 16 | NodePort and ClusterIP | 12:11 |
| 17 | Pod Selection with Labels | 15:03 |
| 18 | Exercise: Deploy ActiveMQ as a Pod and Service | 10:05 |
| 19 | ReplicaSets | 10:45 |
| 20 | Writing a ReplicaSet | 10:06 |
| 21 | Applying a ReplicaSet to Kubernetes | 10:55 |
| 22 | Deployments Overview | 12:09 |
| 23 | Managing Rollouts | 12:25 |
| 24 | Networking Overview in Kubernetes | 08:19 |
| 25 | Namespaces - kube-system | 09:35 |
| 26 | Accessing MySQL from a Pod | 07:16 |
| 27 | Cygwin extra - fixing the terminal with winpty | 04:53 |
| 28 | Service Discovery | 07:28 |
| 29 | Fully Qualified Domain Names (FQDN) | 03:28 |
| 30 | An Introduction to Microservices | 15:19 |
| 31 | Introduction to Microservices Part 2 | 10:41 |
| 32 | Fleetman Microservices - setting the scene | 13:39 |
| 33 | Deploying the Queue | 12:39 |
| 34 | Deploying the Position Simulator | 07:57 |
| 35 | Inspecting Pod Logs | 05:41 |
| 36 | Deploying the Position Tracker | 11:08 |
| 37 | Deploying the API Gateway | 04:50 |
| 38 | Deploying the Webapp | 06:41 |
| 39 | Persistence | 12:01 |
| 40 | Upgrading to a Mongo Pod | 13:49 |
| 41 | Mongo Service | 06:23 |
| 42 | Expanding the Minikube VM | 02:51 |
| 43 | Volume Mounts | 09:27 |
| 44 | Volumes | 14:26 |
| 45 | PersistentVolumeClaims | 16:27 |
| 46 | StorageClasses and Binding | 09:25 |
| 47 | Getting started with AWS | 10:59 |
| 48 | Managing a Cluster in the Cloud | 09:13 |
| 49 | EKS vs Kops - Which to Choose? | 09:40 |
| 50 | Pricing Differences - EKS vs Kops (prices correct mid 2020) | 08:19 |
| 51 | Introducing Kops - Kubernetes Operations | 10:16 |
| 52 | Installing the Kops Environment - 2021 Update | 18:40 |
| 53 | Configuring your first cluster | 20:05 |
| 54 | Running the Cluster | 14:04 |
| 55 | Getting started with EKS | 13:13 |
| 56 | Install eksctl and AWS CLI | 06:06 |
| 57 | Configure the AWS credentials | 13:25 |
| 58 | Install kubectl | 04:29 |
| 59 | Start the cluster | 04:30 |
| 60 | Provisioning SSD drives with a StorageClass | 12:53 |
| 61 | Deploying the Fleetman Workload to Kubernetes | 13:18 |
| 62 | Setting up a real Domain Name | 04:03 |
| 63 | Surviving Node Failure | 10:10 |
| 64 | Replicating Pods in Kubernetes | 11:04 |
| 65 | Deleting the Cluster | 10:29 |
| 66 | Restarting the Cluster | 05:36 |
| 67 | How to delete your EKS cluster | 07:07 |
| 68 | Introducing the ELK / ElasticStack | 15:41 |
| 69 | Installing the Stack to Kubernetes | 16:07 |
| 70 | Kibana - first look | 09:02 |
| 71 | Setting Filters and Refreshes | 05:02 |
| 72 | Demo: analysing a system failure | 05:16 |
| 73 | Kibana Dashboards | 15:26 |
| 74 | Monitoring a Cluster (2020 update) | 05:32 |
| 75 | Installing the kube-prometheus-stack | 15:17 |
| 76 | Using the Prometheus UI | 17:20 |
| 77 | Introducing Grafana | 21:53 |
| 78 | (optional) How to Use NodePorts on a Cluster | 17:30 |
| 79 | Introducing Alerts | 11:48 |
| 80 | Preparing a Slack Channel | 10:16 |
| 81 | Configuring the AlertManager | 15:18 |
| 82 | Troubleshoot the alertmanager.yaml config | 16:41 |
| 83 | Dealing with Firing Alerts | 16:33 |
| 84 | The AlertManager UI and how to Silence Alerts | 09:25 |
| 85 | How to handle the Watchdog | 14:32 |
| 86 | Using PagerDuty | 17:12 |
| 87 | Case Study: Troubleshooting a "Delinquent" node | 13:03 |
| 88 | What happens if the Master Node crashes? (Kops clusters only!) | 10:35 |
| 89 | Introduction to the "Advanced Section" | 02:41 |
| 90 | Memory requests | 20:41 |
| 91 | CPU Requests | 07:07 |
| 92 | Memory and CPU Limits | 14:50 |
| 93 | Enabling the Metrics Server | 14:26 |
| 94 | Viewing Metrics on the Dashboard | 16:43 |
| 95 | Tuning Java Spring Boot Applications, Heap restriction | 22:54 |
| 96 | Setting reasonable Requests | 07:43 |
| 97 | Introducing Replication and Autoscaling | 31:00 |
| 98 | Testing Autoscaling | 07:30 |
| 99 | Demo: why readiness probes are needed | 12:02 |
| 100 | Applying Liveness and Readiness Probes | 08:57 |
| 101 | Understanding the scheduler | 15:38 |
| 102 | QoS labels | 04:59 |
| 103 | Evictions | 12:04 |
| 104 | Pod Priorities | 12:41 |
| 105 | Creating a ConfigMap | 07:34 |
| 106 | Consuming a ConfigMap as Environment Variables | 05:30 |
| 107 | Do changes to a ConfigMap get propagated? | 06:38 |
| 108 | How to consume multiple environments variables with envFrom | 03:33 |
| 109 | Mounting ConfigMaps as Volumes | 09:19 |
| 110 | Creating Secrets | 08:12 |
| 111 | Using Secrets | 08:07 |
| 112 | Where have we already used ConfigMaps and Secrets? | 09:40 |
| 113 | Introducing Ingress | 12:08 |
| 114 | Defining Routing Rules | 15:21 |
| 115 | Adding Routes | 04:05 |
| 116 | Authentication | 15:12 |
| 117 | Running Ingress on AWS | 14:07 |
| 118 | Testing the Ingress Rules | 08:58 |
| 119 | Batch Jobs | 22:28 |
| 120 | Cron Jobs | 09:25 |
| 121 | DaemonSets | 06:25 |
| 122 | StatefulSets Overview | 22:22 |
| 123 | StatefulSets for Database Replication | 09:58 |
| 124 | Demo: Scaling out a Mongo Database | 21:39 |
| 125 | Introducing CI/CD | 11:13 |
| 126 | Establishing a GitHub organization | 10:45 |
| 127 | Setting up a Basic Jenkins System | 15:08 |
| 128 | Defining a Pipeline | 18:11 |
| 129 | Running a Multibranch Pipeline | 05:19 |
| 130 | Reviewing Builds | 10:21 |
| 131 | Organization Pipelines | 09:33 |
| 132 | Continuous Deployment into a Cluster | 16:18 |
| 133 | Getting Started with Helm | 09:22 |
| 134 | How do I Install a Helm Chart | 14:38 |
| 135 | How to Find Helm Charts | 10:49 |
| 136 | Installing a Monitoring Stack with Helm | 14:02 |
| 137 | Working with Chart Values | 16:15 |
| 138 | Customising values.yaml | 16:01 |
| 139 | Avoiding Snowflake Clusters! | 11:57 |
| 140 | Using Helm Pull to Take Control of a Chart | 16:52 |
| 141 | Generating yaml with "Helm Template" | 07:25 |
| 142 | Why would you write your own Helm Charts? | 10:07 |
| 143 | Writing Go Templates for Helm | 26:53 |
| 144 | Helm Functions and Pipelines | 14:20 |
| 145 | Flow Control in a Helm Template | 12:23 |
| 146 | Named Templates | 21:36 |
| 147 | Inspecting a Professional Helm Chart | 24:41 |
| 148 | Goodbye! | 01:55 |
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