I have started creating minimal mind maps about Software Architecture. I plan to extend them further in the future.
You start with architectural characteristics. Then you’ll need to get the logical components, pick a style and finally document your decision.
In the following mind map, I attempted to visualize some core concepts of MCP - Model Context Protocol
Figure 1: MCP - Model Context Protocol Mind Map visualizing basic concepts
In the following mind map, I attempted to visualize some core concepts of OpenTelemetry The purpose of OpenTelemetry is to collect, process and export signals. The signals (telemetry data) which OpenTelemetry currently supports can be found on the right side of the mind map:
The mind map illustrates the components that make up these signals and how they are interconnected.
To learn more about OpenTelemetry:
This mind map provides a detailed overview of the GenAI capabilities available in Azure Databricks.
Also, check out the Azure Databricks Key Concepts mind map
Figure 1: GenAI Capabilities on Azure Databricks Mind Map visualizing key capabilities
This mind map offers a comprehensive overview of the core components of MLflow. An interesting fact about MLflow is that it was originally developed by Databricks, with which it maintains strong integration.
Figure 1: MLflow Mind Map visualizing core components
Download the mind map in multiple formats:
MindMap PNG
MindMap JPG
MindMap SVG
As part of my recent studies about Azure Kubernetes, I’ve created a mindmap that outlines and connects some of its core concepts. This mindmap serves as a visual guide to help you navigate the powerful capabilities of Azure Kubernetes and understand how its key components interrelate.
Figure 1: Azure Kubernetes Mind Map visualizing key concepts
