Building microservices using asp.net core 5.0 and docker

Name: Building microservices using asp.net core 5.0 and docker
Rating: 3.8 (476 reviews)

Building Event-Driven Microservices apps Using AspNet Core 5.0, Rabbitmq, Masstransit, Face detection and SignalR Core

Created byF. Frank Ozz

Last updated 6/2021

English

What you'll learn

building event-driven microservices apps using aspnet core 5.0, rabbitmq,masstransit, signalr core and face detection

Course content

12 sections • 49 lectures • 5h 34m total length

Introduction2:16
Course Agenda5:32
What are we going to build?12:14
Communication Between Microservices7:50
They are going to learn the type of communications between the microservice components that they can use for different scenarios

Docker settings for Linux container production, Memory and CPU requirements4:30
They will be able to set their machine's docker configuration for proper docker image and container production
RabbitMq docker container creation and testing the container4:23
They will be able to create rabbitmq docker container for messaging applications
Creating the Mvc Web Application and setting up masstransit-rabbitmq server10:52
They will be able to set up Masstransit-RabbitMQ server connection in thier applications
Mvc Web Client Action Methods Development for data posting to EventBus6:14
Mvc Web Client Razor Views Development for data posting to action method4:00
They will be able to build razor view pages from where they can post image and text data to action method
Sending Messages from MVC Web Client to RabbitMq Broker5:27

Orders Microservice Intro5:13
OrdersApi Hands-on 1-Setting up massTransit Infrastructure9:00
Setting up Entityframework Core Persistence components and designing entities7:48
Setting up the mssql docker container and applying the migrations4:49
Building the Repository layer and RegisterOrderCommandConsumer-17:25
Testing the Consumer object for message reading and saving it in database2:29
Sending Http requests from OrdersApi to FacesApi for face detection13:49

Creating the NotificationService microservice- part18:20
The source code for the whole section is attached to the resources folder of the last lecture of this section.
CustomerNotificationServicePart2-Fleshing out Consumer class3:37
EmailService Class Library Building8:44
Adding EmailSender to the Consumer class and Host configuration nitty-gritties5:57
OrdersApi Receiving and Consuming the IOrderDispatchedEvent type message3:43
Demo Notification1:44

Remaking of the FacesApi Microservice to overcome the dockerization obstacle9:30
Utilizing the Microsoft's Cognitive Services' Face Rest Api to overcome the dockerization obstacle of our present FacesApi which uses OpenCv based OpenCvSharp4 library.
Adapting the FacesApi to utilize the Microsoft Face Rest Api11:30
In this lecture we have coded how to upload images to the Azure FaceAPI for face detection and how to crop the faces from the original image after we get back the face rectangles from the FaceAPI. The source code is given in the resources section.
Please make sure that your message broker and the mssql server containers are running when you are doing the demo.
Please substitute your credentials in both the Notification appsettings and the FacesApi appsettings.json files for the email server and the FaceAPI call.

Requirements

Intermediate knowledge of C#

Description

Welcome to the most extensive hands-on microservices course using asp.net core 5.0 technologies!

This course is going to teach you how to build event-driven microservices apps using the dotnet core version 5.0 and masstransit.

While you learn microservices apps, you will practice how to design microservices which communicate via a message bus, via HTTP Rest and also via SignalR Core.

The course will teach you the message-driven architecture as applied to an image processing app through which you will get to learn the important libraries available for image processing with C#.

You will also have a go at using the Microsoft Azure's Freely Available Face Detection facility to get your faces detected and sent back to your application instead of doing it by yourself. To that end, you will learn how to get Face API keys from Azure site and adapt your code so that it can communicate with that service offered by MS.

You will learn how to convert jpeg images to byte arrays for transmission over the message bus and also over the Http channel, and how to store them in database tables in byte array format. . You will also learn how to get back the original images from the byte arrays into jpegs for saving and/or displaying..

You will learn how to dockerize your microservices and orchestrate them via docker-compose technology.

I hope you buy the course and enter into the world of wonderful loosely coupled microservices application development using the state of the art technologies.

Frank Ozz

Who this course is for:

Distributed application developers preferring to use aspnet core technology stack

Building microservices using asp.net core 5.0 and docker

What you'll learn

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Course content

Introduction4 lectures • 28min

Face Detection Microservice building4 lectures • 34min

Message Broker Fundamentals2 lectures • 12min

Docker Fundamentals, Docker Install, Docker Test3 lectures • 17min

Mvc Web Client Project Creation, RabbitMq Docker container production6 lectures • 35min

Building the Orders Microservice7 lectures • 51min

Displaying Orders on Razor View Pages5 lectures • 27min

Customer Notification Microservice6 lectures • 32min

SignalRCore Push Notification4 lectures • 21min

Changing the FacesApi Face Detection method for easy dockerization2 lectures • 21min

Requirements

Description

Who this course is for: