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readme.md
eShop Deployment
Deploying to Pivotal Cloud Foundry
This fork has manifest files to facilitate deployment to both Linux and Windows, PowerShell scripts are provided.
PCF Pre-requisites
- CF CLI Installed
- Cloud Foundry environment available, with the following tiles:
- MongoDB
- MySql
- RabbitMQ
- Redis
- Spring Cloud Services
Login to your Cloud Foundry environment with cf login, selecting or creating the appropriate org/space.
Included Scripts
Four PowerShell scripts have been included to help with service provisioning, app deployment and environment teardown. All scripts are expected to be executed from the root of the repository.
- create-services.ps1 - creates all the resources used by the applications, optionally in parallel, optionally waiting for provisioning to complete before returning
- publish-deploy-apps.ps1 - cleans the solution, navigates to each project to execute
dotnet publishandcf push, optionally in parallel.- Supports parameters for deploying subsets of projects in the solution
- complete-deployment.ps1 - calls both create-services and publish-deploy-apps, tracks time of the operations
- remove-all.ps1 - removes all apps and services, optionally in parallel
An OS parameter is available for both complete-deployment and publish-deploy-apps. This parameter should be a valid runtime for dotnet commands, as it is passed to dotnet publish. This value will also determine which manifest file is used - using a value that stars with win results in manifest-windows.yml files being used for app deployments. The manifest-windows.yml files all set the stack to windows2016. The default value is ubuntu.18.04-x64, which results in manifest.yml being used for deployments, which sets cflinuxfs3 as the stack.
Deploying Resources On Azure
Pre-requisites
- Azure CLI 2.0 Installed
- Azure subscription created
Login into your azure subscription by typing az login (note that you maybe need to use az account set to set the subscription to use). Refer to this article for more details
Deploying using CLI
Deploying Virtual machines to host the services
- Deploying a Linux VM to run single-server development environment using docker-machine (Recommended for development environments)
- Deploying a Linux VM or Windows Server 2016 to run a single-server development environment using ARM template (Recommended for creating testing environments)
Using docker-machine is the recommended way to create a VM with docker installed. But it is limited to Linux based VMs.