Application architecture blueprint template

The tutorial will provide some steps to edit Architecture Blueprints and dashboard in the Viewer in edit mode. We also have a paid eLearning module for learning how to set up a blueprint and accompanying dashboard. Contact us for more information at sales dragon1. Architecture Blueprints are diagrams with dashboards of essential value. With Dragon1, users can generate a visualization using any repository or excel sheet. Use the checkmarks to track progress through the categories and questions.

Developed Solutions - those that are implemented and maintained by Harvard resources. Licensed Solution Harvard's Cloud - commercial products that are implemented and managed in Harvard's cloud.

Many applications, when they need to scale beyond a single instance, can do so through the relatively simple process of cloning that entire instance. The additional work to separate the application into discrete services provides a minimal benefit when scaling full instances of the application is simple and cost-effective. Early in the development of an application, you might not have a clear idea where the natural functional boundaries are.

As you develop a minimum viable product, the natural separation might not yet have emerged. Some of these conditions might be temporary. You might start by creating a monolithic application, and later separate some features to be developed and deployed as microservices.

Other conditions might be essential to the application's problem space, meaning that the application might never be broken into multiple microservices. Separating an application into many discrete processes also introduces overhead. There's more complexity in separating features into different processes.

The communication protocols become more complex. Instead of method calls, you must use asynchronous communications between services. As you move to a microservices architecture, you need to add many of the building blocks implemented in the microservices version of the eShopOnContainers application: event bus handling, message resiliency and retries, eventual consistency, and more.

The much simpler eShopOnWeb reference application supports single-container monolithic container usage. Optionally, you can run the application's Blazor-based admin component, which requires a separate API project to run as well. The application can be launched from the solution root using the docker-compose build and docker-compose up commands. This command configures a container for the web instance, using the Dockerfile found in the web project's root, and runs the container on a specified port.

You can download the source for this application from GitHub and run it locally. Even this monolithic application benefits from being deployed in a container environment. For one, the containerized deployment means that every instance of the application runs in the same environment. This approach includes the developer environment where early testing and development take place.

The development team can run the application in a containerized environment that matches the production environment. In addition, containerized applications scale out at a lower cost. Using a container environment enables greater resource sharing than traditional VM environments.

Finally, containerizing the application forces a separation between the business logic and the storage server. As the application scales out, the multiple containers will all rely on a single physical storage medium. This storage medium would typically be a high-availability server running a SQL Server database.

The eShopOnWeb project runs on. Therefore, it can run in either Linux-based or Windows-based containers. Linux-based containers allow a smaller footprint and are preferred. This step adds the files required and modifies the project to use them. The current eShopOnWeb sample already has these files in place.

The solution-level docker-compose. The file allows you to use the docker-compose command to launch multiple applications at the same time. In this case, it is only launching the Web project. You can also use it to configure dependencies, such as a separate database container.

The docker-compose. The Dockerfile is used to specify which base container will be used and how the application will be configured on it.

The Web ' Dockerfile :. Once you run the containerized application, it continues to run until you stop it. You can view which containers are running with the docker ps command. You can stop a running container by using the docker stop command and specifying the container ID.

Note that running Docker containers may be bound to ports you might otherwise try to use in your development environment. If you try to run or debug an application using the same port as a running Docker container, you'll get an error stating that the server can't bind to that port.

Once again, stopping the container should resolve the issue. If you want to add Docker support to your application using Visual Studio, make sure Docker Desktop is running when you do so. The wizard won't run correctly if Docker Desktop isn't running when you start the wizard. In addition, the wizard examines your current container choice to add the correct Docker support.

If you want to add, support for Windows Containers, you need to run the wizard while you have Docker Desktop running with Windows Containers configured. If you want to add, support for Linux containers, run the wizard while you have Docker running with Linux containers configured. Previous Next. Skip to main content. This browser is no longer supported.

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