Developing Microservices with Containers, Kubernetes and Microsoft Azure

Containers

What is this Container-thing developers are talking about? And why should you use it? In this module you will get an overview of what containers are, and how to use them on Windows and Linux.

• Why Containers?
• Containers vs Virtual Machines
• Linux, Windows and Hyper-V Containers
• Container Orchestration

Docker

A container needs to be hosted and run on a container runtime. Multiple options exist here like rkt, CloudFoundry cr, ... In this course we will focus on the most popular one: Docker. You will learn how to create, run and scale containers using Docker.

• Running Docker
• Containers, Images and Registries
• Building an Image
• Port Mapping and Volumes
• Container Orchestration
• LAB: Simple node.js in Docker

Add ASP.NET Applications to Containers

Now that you know what a container is, how do you get your applications in a container? You will learn how to create Docker containers with your ASP.NET application in it and how to run and debug them.

• .NET or .NET Core?
• Official .NET Docker Images
• Working with Databases
• Tools
• LAB: File Uploader

Azure for Container Overview

Azure has many constructs that have to do with containers and microservices. It's a bit overwhelming, really. This topic will help you separate the sheep from the goats, to figure out exactly what you need.

• Azure Container Registry
• Hosting Containers: Container Instances, AKS, Service Fabric
• Deploy with Containers: Web Apps, Batch and Functions

Microservice Architecture

How do you chop your application into multiple smaller components, called "microservices", and why would you do that? We will show how to create microservice-applications and introduce you to some key concepts of microservices like data isolation, resiliency and communication.

• Dealing with Evolution in an Application
• Benefits and Drawbacks
• Scaling
• Versioning
• Communication: Client-Service, Service-Service, Event-based
• Data Isolation per Microservice
• Migration from a Monolith
• Securing Microservices

Kubernetes

When using containers for microservices, you will end up with many containers on many machines. Kubernetes is an open-source endeavor for handling this job. In this topic we dive into this popular orchestrator.

• Kubernetes Cluster
• Kubectl and YAML
• Workloads: Pods and Deployments
• Communication: Services and Ingresses
• Scaling and Updates
• Health Monitoring
• LAB: Set up your first Kubernetes Cluster

Azure Kubernetes Service (AKS)

After creating your microservice application, you need to get it in the cloud. Using Azure, we have several ways of doing this, but Azure Kubernetes Service (AKS) offers the most possibilities. In this module you learn how to use Azure Kubernetes Service.

• Putting a Kubernetes Cluster in Azure
• AKS Features
• Using Helm Charts
• LAB: Using Kubernetes on Azure

Azure Container Apps

Managing scalable containers on a Kubernetes cluster in Azure, but without the complexity. Sounds like a dream? It's not, this is exactly what Azure Container Apps are all about. In this module you will learn how to set up a serverless container solution using event-driven scaling.

• Container Apps and Environments
• Event-based Scaling with KEDA
• Working with Revisions
• Network and Ingress
• Authentication and Service Connection
• LAB: Message Processing and Scaling with Container Apps

API Gateways

This module will give you some insights how to create an API Gateway for your microservices. Using an API Gateway makes building a client application a lot easier.

• Benefits and Drawbacks
• Implementation Options
• Azure API Management

Asynchronous Communication

In this module, you will learn what event-based communication is and why it's such a great fit for microservices.

• Communication Patterns
• Event-Based Communication
• Event Bus
• Integration Events
• Eventual Consistency
• Azure Service Bus
• LAB: Eventual Consistency with Service Bus

Synchronous Communication

In this module, you will learn how to make synchronous communication more reliable by using a number of patterns.

• Problems with Direct Communication
• Retry
• Circuit Breaker
• Sidecar Pattern
• Service Mesh