Docker & Kubernetes on Azure Virtual Class

Docker & Kubernetes on Azure Virtual Class

Vous préférez assister à un cours public avec un instructeur en direct?

This is the live instructor-led version of our technical "workshop style" class that covers the core Docker and Kubernetes concepts and guides you to build, deploy and monitor containers on Azure and Azure Kubernetes Service. Developers, DevOps, Site Reliability Engineers and I.T. Pros will learn how to use containers locally and on Azure. You’ll experience several demos and hands-on "follow along" activities with the trainer throughout the course as you learn how to build, deploy and monitor containers on Azure. No coding experience is required for the hands-on activities but you'll use the terminal, command prompt and VS Code extensively.

Need to organize a private class for your team?  A minimum of 4 participants is required.

Voir les dates des formations publiquesContactez-nous pour organiser une formation privée
  • Formateur Live

    Beaucoup de gens préfèrent assister à des cours dispensés par un instructeur en direct. Ce cours live via Zoom utilise le même matériel que celui proposé dans notre version de vidéos à la demande.

  • Virtuel

    Nos cours en direct animés par un instructeur sont dispensés virtuellement à l'aide de Zoom. Nous vous recommandons de connecter un moniteur externe à votre ordinateur / ordinateur portable afin que vous puissiez vous faire les labs avec l'écran principal et regarder le cours sur le deuxième écran.

  • Bonus

    Le cours virtuel en direct comprend également un accès illimité d'un an à la version vidéo sur demande. De cette façon, vous pourrez revoir et réessayer certains lab au travail ou même regarder la leçon que vous avez manquée à cause d'un appel pendant la formation en direct.

  • Day 1

    In day 1, you'll learn about microservices and their use cases. You'll then learn about containers and how to deploy them in different Azure services providing you with a solid foundation essential for learning Kubenernetes.

  • Day 2

    In day 2, you'll learn all about Kubenernetes and it's concepts. You'll learn how to deploy and manage microservices applications packaged in containers locally. This will provide you the essential foundation that you'll need before heading to the cloud.

  • Day 3

    Day 3 is all about Kubenernetes on Azure. You'll apply what you learned in the previous days so that you can deploy, manage and maintain your applications on Azure Kubernetes Service like a ninja!

In the following course outline, the gear icon denotes a topic with hands-on “follow along” activity

Day 1

Containers Concepts + Containers on Azure

  • Microservices concepts
    • The problems with legacy monolithic systems
    • Microservices concepts
    • Units of deployment & scaling
    • Advantages and drawbacks
    • Anti patterns
  • What is Cloud Native?
  • Container concepts
  • Using Docker Desktop
    • Using the Docker CLI
    • Containerize an existing application
    • Run containers locally
    • Linux and Windows containers: which one to choose
  • Container registry - Docker Hub
    • Push and pull containers to Docker Hub
  • Multi-Containers with Docker Compose
    • What is YAML
    • Using the docker-compose command
    • Run multi containers locally
  • Containers on Azure - our options
  • Azure Container Registry (ACR)
  • Azure Container Instances (ACI)
    • Use cases for serverless containers
    • Run containers on ACI
  • Web App for Containers
    • Create a new Web App for Containers service 
    • Deploy an image from a container registry 
    • Enabling continuous deployment 
    • Setting environnent variables
  • Web App for Multi-Containers
    • Routing traffic to non-exposed containers
    • Using Nginx as a reverse proxy 
    • Understading Nginx config files 
  • Persisting data
    • App Service persistent shared storage
    • Locating the files using the App Service Advanced Tools
    • Add mappings to an Azure File Share 
    • Add mappings to Blob storage 

Day 2

Kubernetes Core Concepts

  • Advantages & drawbacks of what we saw in Day 1
  • Kubernetes concepts
    • What is Kubernetes?
    • Architecture
    • What can Kubernetes do and not do
  • Running Kubernetes locally
    • Docker Desktop
    • Minikube, MicroK8s, Kind
  • Kubernetes API
    • The declarative way vs the imperative way
    • Using Kubectl
    • YAML files
  • Namespaces
  • Nodes and Pods
  • Using Selectors
  • Setting environnent variables
  • Multi container pods
  • Workloads - How to deploy different applications types
    • ReplicaSet
    • Deployments
    • DaemonSet
    • StatefulSet
    • Job
    • CronJob
  • Updates using rolling updates
  • Networking
    • Communication between pods
    • Reaching from the outside world
  • Services
    • ClusterIP
    • NodePort
    • Load Balancer
  • Storage & Persistance
    • Persistent Volumes and Claims
    • Using Azure Storage with Storage Classes
  • App settings
    • ConfigMaps
    • Secrets
  • Observalibilty
    • Liveness & readiness probes
  • Dashboard
    • Kubernetes Web UI
    • Lens: a dashboard running in an app
    • K9s: a dashboard in a terminal!

Day 3

Kubernetes on Azure

    Azure Kukernetes Service
    • Pricing model
    • Supported versions
    • Create an AKS cluster using the Portal
    • Create an AKS cluster using the CLI
  • Kubernetes API
    • Using Kubectl
    • Using the Azure Shell
  • Launching the Dashboard
  • Persistance using Azure Storage
    • Azure Files
    • Azure Disks
  • Scaling
    • Auto scaling Pods using the Horizontal Pod Autoscaler
    • Auto scaling Nodes using the Cluster Autoscaler
    • Burst to serverless Virtual Nodes using Virtual Kubelet
  • Upgrading a cluster to a newer K8s version
  • Using Helm 3
    • Helm installation
    • Use a chart and deploy an app
    • Create a chart to deploy an app
    • Update and Rollback
    • Use Azure Container Registry as a chart repository
  • Logging & Monitoring
    • Monitoring using Azure Monitor
    • Enabling Live Data Monitoring in Azure Monitor
    • Prometheus use cases
    • Installing Prometheus & Grafana
    • Using Azure Monitor as a data source for Grafana
  • Service Mesh
    • Use cases
    • What are Istio and Linkerd
    • Installing Linkerd on AKS
    • Troubleshooting an app using Linkerd
  • Ingress
    • Why use an Ingress Controller
    • Setting up Nginx-Ingress
    • Configuring routes
  • Conclusion

This is a very hands-on course with plenty of demonstrations and several labs periods.
Attendees must have a laptop or PC. Heavy locked down corporate laptops will likely not work. Windows, Mac and Linux (Ubuntu) are supported.

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