What is System Architecture and Why it matters

---

3.1 Machine Learning System Architecture and why it matters

Keyword

• System
• Architecture

System

Machine Learning in production requires multiple different components in order to work.

• Infrastructure
• Applications
• Data
• Documentations
• Configuration and more

Architecture

fundamental concepts or properties of a system in its environment embodied in its element, relationships and in the principles of its design and evolution

Why start with Architecture

• Maintaining ML System is challenging
• Clarity in planning and architecture design helps to mitigate potential issues and errors
• A shared understanding of the system architecture and responsiblities is essential for effective cooperation

Unknown word

• embody : to represent a quality or an idea exactly (e.g. She embodied good sportsmanship on the playing field.)

• mitigate : to make something less harmful, unpleasant, or bad (e.g. It is unclear how to mitigate the effects of tourism on the island.)

udemy