Building microservices using asp.net core 5.0 and docker

Building microservices using asp.net core 5.0 and docker, available at $49.99, has an average rating of 3.8, with 50 lectures, based on 471 reviews, and has 4205 subscribers.

You will learn about building event-driven microservices apps using aspnet core 5.0, rabbitmq,masstransit, signalr core and face detection This course is ideal for individuals who are Distributed application developers preferring to use aspnet core technology stack It is particularly useful for Distributed application developers preferring to use aspnet core technology stack.

Enroll now: Building microservices using asp.net core 5.0 and docker

Summary

Title: Building microservices using asp.net core 5.0 and docker

Price: $49.99

Average Rating: 3.8

Number of Lectures: 50

Number of Published Lectures: 49

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 49

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Distributed application developers preferring to use aspnet core technology stack

Target Audiences

Distributed application developers preferring to use aspnet core technology stack

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

 

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Agenda

Lecture 3: What are we going to build?

Lecture 4: Communication Between Microservices

Chapter 2: Face Detection Microservice building

Lecture 1: Getting the dotnet core 5.0 sdk installed in the development machine

Lecture 2: Face Detection Theory and Introducing the 3rd party libraries

Lecture 3: Building the Face Detection Microservice

Lecture 4: Building a Test Project to Test the Face Detection Microservice

Chapter 3: Message Broker Fundamentals

Lecture 1: RabbitMQ Based Messaging

Lecture 2: RabbitMq-MassTransit interaction, MassTransit Sending and Publishing methods

Chapter 4: Docker Fundamentals, Docker Install, Docker Test

Lecture 1: Docker Fundamentals

Lecture 2: Docker Install

Lecture 3: Docker test

Chapter 5: Mvc Web Client Project Creation, RabbitMq Docker container production

Lecture 1: Docker settings for Linux container production, Memory and CPU requirements

Lecture 2: RabbitMq docker container creation and testing the container

Lecture 3: Creating the Mvc Web Application and setting up masstransit-rabbitmq server

Lecture 4: Mvc Web Client Action Methods Development for data posting to EventBus

Lecture 5: Mvc Web Client Razor Views Development for data posting to action method

Lecture 6: Sending Messages from MVC Web Client to RabbitMq Broker

Chapter 6: Building the Orders Microservice

Lecture 1: Orders Microservice Intro

Lecture 2: OrdersApi Hands-on 1-Setting up massTransit Infrastructure

Lecture 3: Setting up Entityframework Core Persistence components and designing entities

Lecture 4: Setting up the mssql docker container and applying the migrations

Lecture 5: Building the Repository layer and RegisterOrderCommandConsumer-1

Lecture 6: Testing the Consumer object for message reading and saving it in database

Lecture 7: Sending Http requests from OrdersApi to FacesApi for face detection

Chapter 7: Displaying Orders on Razor View Pages

Lecture 1: Building the OrdersApis OrdersController class and creating two action methods

Lecture 2: Building the OrderManagementApi class in the MvcWeb project

Lecture 3: Building MvcWeb OrderManagementController class, Index View Part1

Lecture 4: Building MvcWeb OrderManagementcontroller and Details View- Part 2

Lecture 5: Demo-OrderManagementController

Chapter 8: Customer Notification Microservice

Lecture 1: Creating the NotificationService microservice- part1

Lecture 2: CustomerNotificationServicePart2-Fleshing out Consumer class

Lecture 3: EmailService Class Library Building

Lecture 4: Adding EmailSender to the Consumer class and Host configuration nitty-gritties

Lecture 5: OrdersApi Receiving and Consuming the IOrderDispatchedEvent type message

Lecture 6: Demo Notification

Chapter 9: SignalRCore Push Notification

Lecture 1: SignalRCore brief Introduction

Lecture 2: SignalRCore Server Side Programming

Lecture 3: SignalRCore Client Side (java script) Coding

Lecture 4: SignalRCore Push Notification Demo

Chapter 10: Changing the FacesApi Face Detection method for easy dockerization

Lecture 1: Remaking of the FacesApi Microservice to overcome the dockerization obstacle

Lecture 2: Adapting the FacesApi to utilize the Microsoft Face Rest Api

Chapter 11: Dockerization of the application

Lecture 1: Dockerizing a simple webapi and description of Dockerfile contents

Lecture 2: Removing hardcoded strings from microservices and setting up automatic migration

Lecture 3: Adding Docker-compose orchestration support to the microservices

Lecture 4: Demo

Chapter 12: Section 12- BONUS SECTION

Lecture 1: Pdf file explaining the changes in the source code and presenting the file list

Lecture 2: Next- Dapr Course

Instructors

F. Frank Ozz
Software Architect, Author

Rating Distribution

1 stars: 11 votes

2 stars: 14 votes

3 stars: 86 votes

4 stars: 167 votes

5 stars: 193 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!