article thumbnail

AoAD2 Practice: Evolutionary System Architecture

James Shore

Evolutionary System Architecture. What about your system architecture? By system architecture, I mean all the components that make up your deployed system. When you do, you get evolutionary system architecture. This is a decidedly unfashionable approach to system architecture.

article thumbnail

Diagramming System Architecture in 5 Simple Steps

Tandem

As part of our final project handoff to Tandem clients, we provide a diagram of the product’s architecture — a visual depiction of the various systems, platforms, and tools that work together to support a software product. Here’s how we create system architecture diagrams. Software products are often complex.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

SambaNova raises $676M at a $5.1B valuation to double down on cloud-based AI software for enterprises

TechCrunch

Co-founded by two Stanford professors, Kunle Olukotun and Chris Ré, and Liang, who had been an engineering executive at Oracle, SambaNova has been around since 2017 and has raised more than $1 billion to date — both to build out its AI-focused hardware, which it calls DataScale , and to build out the system that runs on it.

article thumbnail

Bliki: ConwaysLaw

Martin Fowler

We often see how inattention to the law can twist system architectures. If an architecture is designed at odds with the development organization's structure, then tensions appear in the software structure. Accepting Conway's Law is superior to ignoring it, and in the last decade, we've seen a third way to respond to this law.

article thumbnail

Unbundling the Graph in GraphRAG

O'Reilly Media - Ideas

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another.

article thumbnail

Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details). Kang and J.

article thumbnail

Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Troubleshooting these failures typically involves several steps: Root cause analysis (mean time to detect) Identifying hardware failures as the root cause of training interruptions can be time-consuming, especially in complex systems with multiple potential failure points.