I will keep following this library and hopefully contribute back.Disclaimer: This is my first post on Dev.to. It still does not give all the freedom and you will be constrained by it. I think Diagrams is a good start in the right direction. In this blog we covered how to use Diagrams library to create diagrams by writing Python code. With Diagram("10000 User Architecture", show=True): We are rendering static assess using Cloud Front and S3įrom import Route53, ElasticLoadBalancing, Cloudfrontįrom import Aurora, ElastiCache Also, we will use horizontally scalable database Aurora in multiple AZ. Now, we will use running application instances in multiple AZs. Route_53 > lb > vm_group > cache > RDS("Database") With Diagram("1000 User Architecture", show=True): Route_53 > EC2("Web Server") > RDS("Database")įrom import Route53, ElasticLoadBalancingįrom import RDS, ElastiCache With Diagram("100 User Architecture", show=True): Now, we will install database on its own server. The above code will produce following diagram. Route_53 - Edge(label="Elastic IP", color="orange",įorward=True) > Lightsail("Lightsail Server") With Diagram("Single User Architecture", show=True, direction="TB"): The Python code for the diagram is shown below.įrom diagrams import Cluster, Diagram, Edgeįrom import Lightsail Database and application server running on single machine.For a single user application, we can use following: In the talk author starts by defining architecture for a single user application. Also, I am still learning Diagrams library so the code shown below might not be the best. Please note that I will be deviating a bit from the architecture presented in the video. Since this talk is about AWS we will be building diagrams that use AWS services. It is one of the best conference talk on building scalable systems I have seen. I will use examples mentioned in the talk: Scaling Up to Your First 10 Million Users. Let’s learn how to use Diagrams by creating a few diagrams. You will notice that I am using Python Virtualenv to avoid polluting my global Python installation. It is an open source graph visualisation software that makes use of abstract graphs and network to represent structural information. In the commands shown above, we first installed Graphviz. Most tools stand on the shoulders of other powerful tools. Create a directory where you want to store diagrams and navigate to it. The below are instructions for running it on Mac. To get started with Diagrams, you need to run following commands. It supports AWS, Azure, GCP, Kubernetes, Alibaba Cloud, and Oracle Cloud. You can use it to build cloud and on-premise architecture diagrams. With Diagrams, you create diagrams by writing Python code. Recently I discovered a pure diagram as code tool called Diagrams. Code is the second class citizen in draw.io. You use it like just any other diagram tool. But to me draw.io is still not the pure as code tool. This tool has been great help for me and I really love using it. The diagram source in XML format can be backed to Google drive or Git repository. We can use either the web or desktop editor to create diagrams. One tool that I used heavily in the last couple of years draw.io. Since the last couple of years I was on the look out for a free and open-source diagram tool that allow me to save the diagram source in the version control. The fact of the matter is that we all have to create diagrams in our software engineering life. For this discussion it does not matter whether you create architecture diagrams before or after or during development. One aspect of the software development where we are lacking the as code approach is in creating architecture diagrams.Īs software engineers and architects we all have to create architecture diagrams to convey our ideas with other fellow engineers. The beauty of this approach is that it enables us to use the same tools as we use use for software development. These days we use everything as code approach for documentation, infrastructure provisioning, deployment automation, continuous integration build jobs, pull request and issue templates, and many other things. It enables use of version control for all aspects of software development.
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