Developing microservices with containers and Kubernetes

Knowledge of core Java and core containers

Microservices are smaller and independent services within larger applications. This course provides the required skills to design, implement and deploy microservices using container technology.
The students will learn how to use the Spring Boot stack to develop microservices, Docker to package them into containers, and Kubernetes to orchestrate and manage them at scale. The course covers the CI/CD process to automate the delivery of microservices.

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 and Windows Containers
• Container Orchestration

Docker

A container needs to be hosted and run on a container runtime. Several
options are available like rkt, runC, ... In this course, our emphasis
will be on the most widely used 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

Developing ASP.NET Applications with Containers

Now that you understand what a container is, the next question is: how do
you package your applications into containers? In this module, you'll
learn how to Dockerize your ASP.NET applications, and how to run and debug
them.

• ASP.NET or ASP.NET Core?
• Official .NET Docker Images
• Containerizing Dependencies
• 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 module 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, ACA
• Deploy with Containers: Web Apps and Functions

Microservice Architecture

How do you chop your application into multiple smaller components, called
"microservices", and why would you do that? Here, we will show
you 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
• Communication: Client-Service, Service-Service, Event-Based
• Data Isolation per Microservice

Kubernetes

When employing containers for microservices, you'll inevitably have
numerous containers spread across multiple machines. Kubernetes emerges as
an open-source solution for managing your infrastructure. In this module,
we delve into this widely adopted 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)

Once you've developed your microservice application, the next step is
deploying it to the cloud. Azure provides various methods for this
purpose, but Azure Kubernetes Service (AKS) offers the most comprehensive
options. In this module, you'll become a master of 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
• Integrating with Dapr Components
• 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

Classroom Courses