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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.

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Bliki: ConwaysLaw

Martin Fowler

Pretty much all the practitioners I favor in Software Architecture are deeply suspicious of any kind of general law in the field. Good software architecture is very context-specific, analyzing trade-offs that resolve differently across a wide range of environments. We often see how inattention to the law can twist system architectures.

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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.

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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.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

By using Mixtral-8x7B for abstractive summarization and title generation, alongside a BERT-based NER model for structured metadata extraction, the system significantly improves the organization and retrieval of scanned documents. The following diagram illustrates the solution architecture.

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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.

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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.

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