Case Study: Visualize Complex Microservice Data Using Python

Introduction

• How to make an impact in your organization as an engineer
• Why use Python to build automation simple tools?
• Using GitHub Codespaces

1. Defining the Problem and Researching a Solution

• What are microservices?
• Disadvantages of the microservice architecture
• How to solve for the challenges introduced by microservices
• How to research and find a technology that will help solve technical problems

2. Learning PlantUML

• What is PlantUML?
• Experiment with PlantUML
• How can you work with PlantUML in a maintainable way?
• How to decide if PlantUML will work for a use case

3. Planning for the Development

• Create an implementation plan for the initiative
• How to convince your team to pursue the initiative
• Divide work into user stories

4. Building a Python Script to Convert Data into PlantUML Code

• Establish input of the script
• Establish the output of the script
• Design implementation for script code
• Load JSON data from a file
• Iterate through JSON data and store effectively
• Write simple PlantUML code to a file
• Export PlantUML code to a PNG diagram with Python
• Add data to each node in the PlantUML graph
• Add edges to the PlantUML graph

5. Going Above and Beyond

• Review your code for inefficiencies and unnecessary complication
• Create a README
• Add live call to generate live graph
• Prepare a demo for greater organization

Conclusion

• Contributing to your engineering organization