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@@ -12,9 +12,29 @@ UDEMY COURSE WITH DISCOUNTED - Step by Step Development of this repository -> ht
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### Overall Picture
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See the overall picture. You can see that we will have 3 microservices which we are going to develop and deploy together.
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![Overall Picture of Repository](https://user-images.githubusercontent.com/1147445/98652230-5f66ee80-234c-11eb-9201-8b291b331c9f.png)
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Basically we will implement e-commerce logic with only gRPC communication. We will have 3 gRPC server applications which are Product — ShoppingCart and Discount gRPC services. And we will have 2 worker services which are Product and ShoppingCart Worker Service. Worker services will be client and perform operations over the gRPC server applications. And we will secure the gRPC services with standalone Identity Server microservices with OAuth 2.0 and JWT token.
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### ProductGrpc Server Application
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First of all, we are going to develop ProductGrpc project. This will be Asp.Net gRPC Server Web Application and expose apis for Product CRUD operations.
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![Overall Picture of Repository](https://user-images.githubusercontent.com/1147445/105671396-b152f580-5ef3-11eb-8f3b-7f9f7c9c4d24.png)
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### Shopping MVC Client Application
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First of all, we are going to develop Shopping MVC Client Application For Consuming Api Resource which will be the Shopping.Client Asp.Net MVC Web Project. But we will start with developing this project as a standalone Web application which includes own data inside it. And we will add container support with DockerFile, push docker images to Docker hub and see the deployment options like “Azure Web App for Container” resources for 1 web application.
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### Shopping API Application
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After that we are going to develop Shopping.API Microservice with MongoDb and Compose All Docker Containers.
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This API project will have Products data and performs CRUD operations with exposing api methods for consuming from Shopping Client project.
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We will containerize API application with creating dockerfile and push images to Azure Container Registry.
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### Mongo Db
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Our API project will manage product records stored in a no-sql mongodb database as described in the picture.
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we will pull mongodb docker image from docker hub and create connection with our API project.
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At the end of the section, we will have 3 microservices whichs are Shopping.Client — Shopping.API — MongoDb microservices.
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As you can see that, we have
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* Created docker images,
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Compose docker containers and tested them,
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Deploy these docker container images on local Kubernetes clusters,
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Push our image to ACR,
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Shifting deployment to the cloud Azure Kubernetes Services (AKS),
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Update microservices with zero-downtime deployments.
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### Deploy to Azure Kubernetes Services (AKS) through CI/CD Azure Pipelines
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And the last step, we are focusing on automation deployments with creating CI/CD pipelines on Azure Devops tool. We will develop separate microservices deployment pipeline yamls with using Azure Pipelines.
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When we push code to Github, microservices pipeline triggers, build docker images and push the ACR, deploy to Azure Kubernetes services with zero-downtime deployments.
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Image for post
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![cicd](https://user-images.githubusercontent.com/1147445/105671542-f37c3700-5ef3-11eb-9532-59a5855214d0.png)
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By the end of this articles, you’ll learn how to deploy your multi-container microservices applications with automating all deployment process seperately.

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