Microsoft Azure Kubernetes Service Workshop

Name: Microsoft Azure Kubernetes Service Workshop
Rating: 4.5 (1150 reviews)

Hands-on lab to teach you the internals of Microsoft Azure Kubernetes Service

Created byAmr Gamil

Last updated 8/2020

English

What you'll learn

Microsoft Azure Kubernetes Service
Kubernetes
Azure Monitor
Azure Container Register

Course content

9 sections • 22 lectures • 2h 11m total length

Introduction3:44
This hands-on Azure Kubernetes Service workshop guides you to deploy a production-ready microservice rating app on a Kubernetes cluster, with ingress, cert-manager, SSL, and autoscaling.
Setting up Azure Account3:53
Sign in to the Azure portal to start a free trial and verify your identity, then create a Western Europe resource group and a private container registry.
High Level Into to Kubernetes [Skip if familiar with k8s]2:17
Explore the high-level Kubernetes architecture, where the master orchestrates clusters and nodes run pods with containers created by deployments, sharing an IP address, port space, and volumes.

Creating AKS cluster part 14:43
Create an Azure Kubernetes Service cluster and configure node pools for up to 100 nodes. Enable system assigned managed identity for Azure Container Registry access and RBAC.
Creating AKS cluster part 28:15
Explore AKS networking options: Kubernetes networking vs container native interface, configure virtual networks, subnets, and IP ranges, and integrate Azure Monitor and container registry to deploy your cluster.
Testing cluster connection & creating namespace5:31
Learn how to test your Azure Kubernetes Service cluster, install and use Azure CLI and kubectl, fetch credentials, view cluster details, and create a namespace.

Deploying Mongo DB5:48
Hint: the helm command arguments changes depends the version of the mongodb installed. Make sure to run the command "helm show chart bitnami/mongodb" and check the version of the mongodb, and check the documentation for the updated args names "https://hub.helm.sh/charts/bitnami/mongodb".
For example, Authentication parameters are reorganized: mongodbUsername, mongodbPassword and mongodbDatabase are now auth.username, auth.password, auth.database
Wrapping DB connection string in a k8s secret2:22
Create a Kubernetes secret to store the MongoDB connection details (username, password, database, port) securely using kubectl create secret generic in the rating-app namespace; verify with kubectl describe secret.

Azure container registry5:35
Clone the GitHub projects, install git, build images with Azure Container Registry, and push the rating web and rating API images to the registry.
Deploying the back-end API part 17:18
Deploying the back-end API part 26:00
Deploy and verify the rating api in a Kubernetes cluster with the rating app namespace, and resolve image pull issues by granting access to Azure Container Registry via role assignment.
Adding k8s service to the back-end4:31
Create a Kubernetes service to expose the rating API pod inside the cluster by using a selector, mapping external port 80 to internal port 3000 for TCP communication.
Deploying the front-end5:56
Adding k8s service to the front-end2:51

K8s horizontal pod autoscaler [HPA]5:14
Explore how the Kubernetes horizontal pod autoscaler scales pods and the Azure Kubernetes Service cluster autoscaler adds nodes, using kubectl and YAML manifests to manage CPU utilization-based scaling.
HPA in action7:55
AKS cluster autoscaling6:30
See how the cluster autoscaler increases node counts to meet pod demand. Compare manual and auto scaling of node pools, adjust deployment resources, and restore the original configuration.

Requirements

Familiar with cloud computing and IT concepts
Familiar with containers is an advantage

Description

This is a hand’s on workshop for implementing state of the art end-to-end microservice docker based architecture using k8s on top of Azure Kubernetes Service [AKS]. The workshop will takes you through the steps of creating a Kubernetes cluster, deploying a Mongo DB & microservices-based application, load balancing and securing inbound traffic, scaling option in aks and how can you monitor your cluster in production environment.

At the end of this workshop you will understand AKS inside out, and will be able to design and implement production ready Kubernetes clusters.

The K8s cluster will be hosted on AKS and integrated with azure container register for hosting the container images. AKS RBAC and Azure Active directory will be used to authenticate and authorize access to the AKS cluster and Azure monitor will be used to monitor the cluster.

Any application can be hosted on this cluster, but for the sake of this workshop, we will be using a ready-made sample application from github. A rating website.

Who this course is for:

Developers and architects looking to learn azure kubernetes services
Beginners who would like to explore the world of cloud native concepts
Beginners looking to learn administrating kubernetes clusters

Microsoft Azure Kubernetes Service Workshop

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 10min

Creating AKS cluster3 lectures • 18min

Deploying Mongo Database using Helm2 lectures • 8min

Deploying the micro-service application6 lectures • 32min

Kubernetes Ingress2 lectures • 16min

SSL/TLS1 lecture • 15min

Scaling options in AKS3 lectures • 20min

AKS cluster monitoring1 lecture • 9min

Conclusion & Next steps1 lecture • 4min

Requirements

Description

Who this course is for: