Microservices Development on Azure with Java

Microservices Development on Azure with Java

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 31m | 451 MB

Get started with building and deploying containerized Java microservices on Microsoft Azure with Docker and Kubernetes

The microservices architecture is gaining popularity as a significant approach for distributed mission-critical applications, and Azure offers a world-class platform which is ideal for building, deploying, and operating such applications.

This course will jumpstart your journey to creating state-of-the-art Java microservices with Docker and Kubernetes on Azure; you’ll advantage with the building blocks provided by a world-class cloud to boost your productivity and achieve robustness, resiliency, and high availability.

This course also comes packed with a number of recommendations for additional Azure offerings you may want to consider for your projects, as well as plenty of resources to help you delve more deeply into the world of microservices and other types of cloud-native applications in general.

This course will get you started with everything you need to develop, deploy, and troubleshoot containerized Java microservices on Azure with Kubernetes, without assuming any prior knowledge about the Azure platform.

What You Will Learn

  • Create an Azure Kubernetes Service cluster along with a continuous delivery pipeline in Visual Studio Team Services, and deploy a Spring Boot application into the cloud as a container
  • Work with Azure CosmosDB to implement a flavor of the Event Sourcing design pattern in Java
  • Leverage the Azure CosmosDB’s Change Feed feature to avoid the issue of dual writes in a distributed system
  • Use Azure Blob Storage to securely store files and keep them highly available into the cloud
  • Work with Azure Redis to optimize an application via caching data, from Java
  • Build a basic Spring Boot API application and use Swagger to describe the API contracts and implement asynchronous communication between microservices with Azure Service Bus
  • Perform text sentiment analysis using Azure Cognitive Services and send email messages programmatically using Azure SendGrid
  • Protect and retrieve application secrets with Azure Vault and learn to use Azure SQL Server with Hibernate
  • Get introduced to a number of additional Azure components, such as Azure Active Directory, Azure App Service, Azure API Gateway, Azure Application Gateway, Azure VMs
  • Develop an example microservices-based application for restaurant reservations, and deploy it successfully into the cloud
  • Leverage Azure’s built-in monitoring, troubleshooting and scaling features,to keep services healthy, highly available, and detect problems fast
Table of Contents

Course Introduction and Fundamental Concepts
1 The Course Overview
2 Introduction to Azure for Java Software Developers
3 Creating an Azure Subscription and Managing Cloud Resources
4 Docker Containers and Orchestration with Kubernetes
5 Microservices 101

Cloud Environment Setup
6 Overview of the Course’s Cloud Environment Setup
7 Provision an Azure Kubernetes Service (AKS) Cluster and an Azure Container Registry (ACR)
8 Create an Azure DevOps Git Repo and Push a Containerized Spring Boot App
9 Set Up a Continuous Integration Pipeline with Azure DevOps
10 Set Up a Continuous Delivery Pipeline with Azure DevOps

An Event-Sourced Reservations API with Cosmos DB
11 Overview of the Reservations API and the Event Sourcing Pattern
12 A Cosmos DB Collection and the Reservations API Skeleton
13 Event Sourcing Implementation – Part 1
14 Event Sourcing Implementation – Part 2
15 Event Sourcing Implementation – Part 3
16 Event Sourcing Implementation, Demo, and Next Steps

A Reviews System with Blob Storage, Service Bus, Cognitive Services, and SendGrid
17 Overview of the Reviews System
18 Cloud Resources for the API
19 Cloud Resources for the Worker
20 Putting It All Together

A Restaurant Menu API with Redis
21 Overview of the Menu API
22 Cloud Resources for the API
23 The System in Action

Operational Tips and Next Steps
24 Using Application Secrets on Kubernetes
25 Designing Resilient Cloud Applications
26 Monitoring, Troubleshooting, and Optimizing
27 Introduction to Scaling
28 Additional Resources to Explore