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AWS Architecture Diagram As Code Using Python

Creating AWS architecture diagrams can be a complex task, but it doesn’t have to be. With Python and a handy tool called Graphviz, you can automate and simplify this process. In this blog, we’ll explore how to create AWS architecture diagrams with Graphviz in Python and provide an AWS architecture diagram as code tutorial using Python. Whether you’re new to this or looking for the best practices for AWS architecture diagrams using Graphviz, we’ve got you covered. We’ll guide you through a step-by-step guide to AWS diagrams with Graphviz and show you Python Graphviz AWS architecture diagram examples to make the learning process easier.

From visualizing AWS infrastructure with Python and Graphviz to generating AWS architecture diagrams programmatically with Graphviz, you’ll find everything you need right here. Learn how to automate AWS diagrams with Graphviz and Python and discover the benefits of AWS architecture diagram automation with Graphviz. If you’re interested in using Python to draw AWS architecture diagrams with Graphviz, this blog is your go-to resource. Let’s dive in and make AWS architecture diagramming easier and more efficient!

❗️❗️❗️ Pre-Requisite & Installation❗️❗️❗️

1️⃣ Make sure you have python version 3.6 or higher to leverage this python feature.

2️⃣ As this python module uses “Graphviz” to render the diagram you need to make sure to install graphviz by going to link and install package based on your operating system.

🔳 Installation for windows machine is as follows

✦ Download Stable Windows install packages “graphviz-3.0.0” for 64 bit
image.png✦ Once package is downloaded run it and follow along.
image.pngimage.png✦ Add Graphviz to system pathimage.png✦ Select destination folder to install the packages and install
image.pngimage.pngimage.png

3️⃣ Once graphviz is installed successfully we need to install diagrams by using below command which completes our installation

pip install diagrams

image.png

🌟Understanding Basic Building Blocks🌟

Before building basic architecture you needs to be well versed with important concepts listed below
🔳 Diagrams:- In simple terms diagram name. Diagram is a primary object representing a diagram for which Diagram constructor will be used for output filename.
Create python file first_diagram with below code

from diagrams import Diagram
with Diagram("First_Diagram", show= True):
    pass

Run program by using below command

python first_diagram.py

################Output File “Diagram.png”################image.pngIt will generate an image file as First_Diagram.png on same path where you have created “first_diagram.py” , and open that created image file immediately as shown below which concludes it is used for naming the diagrams we are creating as code.

🔳 Nodes:- In layman terms these are AWS Services Logos .Node is a second object representing a node or system component. A node object consists of three parts: provider, resource type and name.

Lets see how we can use these nodes for AWS resources as listed below…
➖ VPC
➖ VPCRouter
➖ VPCPeering
➖ VPCElasticNetworkInterface
➖ EC2
➖ EC2Instance
➖ EC2Instances
➖ EC2Ami
➖ LambdaFunction

🔊 To view entire github code click here

from diagrams import Diagram
from diagrams.aws.network import VPC
from diagrams.aws.network import VPCRouter
from diagrams.aws.network import VPCPeering
from diagrams.aws.network import VPCElasticNetworkInterface
from diagrams.aws.compute import EC2
from diagrams.aws.compute import EC2Instance
from diagrams.aws.compute import EC2Instances
from diagrams.aws.compute import EC2Ami
from diagrams.aws.compute import LambdaFunction
with Diagram("Diagram", direction="LR"):
    VPC = VPC("VPC")
    VPCRouter = VPCRouter("VPCRouter")
    VPCPeering = VPCPeering("VPCPeering")
    VPCElasticNetworkInterface = VPCElasticNetworkInterface("VPCElasticNetworkInterface")
    EC2 = EC2("EC2")
    EC2Instance = EC2Instance("EC2Instance")
    EC2Instances = EC2Instances("EC2Instances")
    EC2Ami = EC2Ami("EC2Ami")
    LambdaFunction = LambdaFunction("LambdaFunction")

################Output File “Diagram.png”################image.png

You can also use other node objects in a similar manner for different cloud providers:

# aws resources
from diagrams.aws.compute import ECS, Lambda
from diagrams.aws.database import RDS, ElastiCache
from diagrams.aws.network import ELB, Route53, VPC

# azure resources
from diagrams.azure.compute import FunctionApps
from diagrams.azure.storage import BlobStorage

# gcp resources
from diagrams.gcp.compute import AppEngine, GKE
from diagrams.gcp.ml import AutoML

Current nodes available as per the official documentation is listed below make sure to keep check on this official documentation.

image.png

Note in this blog we are only going to focus on AWS Nodes only.

🔳 Clusters:- In simple terms clubbing of nodes[aws services] together. Lets understand how it works by writing down the code.
👨‍💻 Example 1:- Network Cluster To view entire github code click here

from diagrams import Cluster, Diagram
from diagrams.aws.network import VPC
from diagrams.aws.network import VPCRouter
from diagrams.aws.network import VPCPeering
from diagrams.aws.network import VPCElasticNetworkInterface
with Diagram("Diagram", direction="TB"):
    with Cluster("Network Cluster"):
        VPCPeering = VPCPeering("VPCPeering")
        VPCElasticNetworkInterface = 
        VPCElasticNetworkInterface("VPCElasticNetworkInterface")
        VPCRouter = VPCRouter("VPCRouter")
        VPC = VPC("VPC")

################Output File “Diagram.png”################

image.png

👨‍💻 Example 2:- Compute Cluster | 🔊 To view entire github code click here

from diagrams import Cluster, Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.compute import EC2Instance
from diagrams.aws.compute import EC2Instances
from diagrams.aws.compute import EC2Ami
from diagrams.aws.compute import LambdaFunction
with Diagram("Diagram", direction="TB"):
    with Cluster("Compute Cluster"):
        EC2 = EC2("EC2")
        EC2Instance = EC2Instance("EC2Instance")
        EC2Instances = EC2Instances("EC2Instances")
        EC2Ami = EC2Ami("EC2Ami")
        LambdaFunction = LambdaFunction("LambdaFunction")

################Output File “Diagram.png”################image.png

🔳 Edges:- Edge is representing an edge between Nodes. Edge is an object representing a connection between Nodes with some additional properties. An edge object contains three attributes: label, color and style which mirror corresponding graphviz edge attributes.
👨‍💻 Example:- Edge | 🔊 To view entire github code click here

from diagrams import Cluster, Diagram, Edge
from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="TB"):
    ELB("") >> Edge(color="red", label="Traffic") >> \
    [EC2("Instance1"),EC2("Instance2"),EC2("Instance3")]

################Output File “Diagram.png”################image.png

🔳 Data Flow:- You can represent data flow by connecting the nodes with these operators: >>, << and -.

✦ [>>]:- We can use this arrow direction to show route in right direction. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="LR"):
    ELB("Load_Balancer") >> EC2("Instance") >> RDS("Database")

################Output File “Diagram.png”################image.png

➖ [<<]:- We can use this arrow direction to show route in left direction. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="LR"):
    ELB("Load_Balancer") << EC2("Instance") << RDS("Database")

################Output File “Diagram.png”################image.png

➖ [-] :- This is no direction arrow. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="LR"):
    ELB("Load_Balancer") - EC2("Instance") - RDS("Database")

################Output File “Diagram.png”################image.png

➖ [TB] :- Diagram flow will be from top to bottom. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="TB"):
    ELB("Load_Balancer") >> EC2("Instance") >> RDS("Database")

################Output File “Diagram.png”################image.png➖ [BT] :- Diagram flow will be from bottom to top. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="BT"):
    ELB("Load_Balancer") >> EC2("Instance") >> RDS("Database")

################Output File “Diagram.png”################image.png➖ [LR] :- Diagram flow will be from left to right. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="LR"):
    ELB("Load_Balancer") >> EC2("Instance") >> RDS("Database")

################Output File “Diagram.png”################image.png

➖ [RL] :- Diagram flow will be from right to left. Lets code & check..

from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB

with Diagram("Diagram", show= True, direction="RL"):
    ELB("Load_Balancer") >> EC2("Instance") >> RDS("Database")

################Output File “Diagram.png”################image.png

 

🌟AWS 3 Teir Architecture Diagram As Code🌟

from diagrams importCluster, Diagramfromdiagrams.aws.databaseimportRDSfromdiagrams.aws.computeimportEC2fromdiagrams.aws.networkimportELBfromdiagrams.aws.networkimportRoute53withDiagram("Simple Web Service with DB Cluster", show=True, direction="TB"):
    Web_LB=ELB("Web_Load_Balancer")
    App_LB=ELB("App_Load_Balancer")
    DNS=Route53("Route53")
    DB=RDS("Database")

    withCluster("Web Teir"):
        web_teir= [EC2("NginxProxy"),
                   EC2("NginxProxy1"),
                   EC2("NginxProxy2")]
    withCluster("App Teir"):
        app_teir= [EC2("app1"),
                   EC2("app2"),
                   EC2("app3")]


    DNS>>Web_LB>>web_teirweb_teir>>App_LBApp_LB>>app_teirapp_teir>>DB

🔊 **To view entire github code click here

################Output File “Diagram.png”################image.png

⛔️ Diagrams
⛔️ Nodes
⛔️ Clusters
⛔️ Edge
⛔️ Diagram as Code

By the end of this blog, you should feel confident in using Python and Graphviz to create, automate, and enhance your AWS architecture diagrams. We’ve covered everything from the basics to best practices for AWS architecture diagrams using Graphviz. With these tools, you can create AWS architecture diagrams from code using Python, making your workflow more efficient and dynamic.

Don’t forget to explore our Python script for AWS architecture diagram automation and the comprehensive guide to AWS architecture diagrams with Python to further deepen your understanding. Remember, mastering Graphviz tutorial for AWS architecture diagramming and implementing AWS diagramming with Graphviz: Python code examples can significantly streamline your diagramming process. Keep experimenting and refining your skills to make the most out of Python and Graphviz for automated AWS infrastructure diagrams.

Happy diagramming!

📢 Stay tuned for my next blog…..

So, did you find my content helpful? If you did or like my other content, feel free to buy me a coffee. Thanks.

Dheeraj_Pic1 (2)

Author - Dheeraj Choudhary

I am an IT Professional with 11+ years of experience specializing in DevOps & Build and Release Engineering, Software configuration management in automating, build, deploy and release. I blog about AWS and DevOps on my YouTube channel, which focuses on content such as, AWS, DevOps, open source, AI-ML and AWS community activities.

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