Thanks for that. I keep it on the downlow most of the time. But, hey the subject came up! I thought about it a couple of days before I said anything. This is a perfect spot for JCs. Glad you are interested. I’ll be at happy hour, unless there’s a schedule clash, which I predict, but I look forward to discussing possibilities with you, my friend!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
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Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a "Second Brain" AI assistant, covering everything from data pipelines to observability and agentic layers.
Honeycomb has launched its hosted Model Context Protocol (MCP), giving developers real-time access to observability data inside IDEs and AI tools like GitHub Copilot. Available as a managed service on AWS Marketplace, it removes the need for self-hosting and streamlines debugging by surfacing traces, metrics, and logs without context-switching.
At times, to evolve your product, you need to rebuild it from scratch. The article provides the story behind the rewrite of InfluxDB from scratch using a different programming language - Rust - and stack - Apache Flight, Data Fusion, Apache Arrow and Parquet (FDAP). It emphasises the benefits, as well as the mechanics behind its operation and the different versions of the product.
Uber has published details on their approach to controlling rollouts of large-scale changes across monorepos that serve thousands of microservices, addressing one of the key challenges in continuous deployment at massive scale.
John Gesimondo explains a framework for achieving sustainable mental peace at work. He shares practical recipes for using GenAI to improve emotional recovery, overcome task paralysis, and enhance planning and communication. He demonstrates how to leverage AI to outsource routine tasks, freeing up time for more engaging and meaningful work.
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Hi Heinz!
Thanks for that. I keep it on the downlow most of the time. But, hey the subject came up! I thought about it a couple of days before I said anything. This is a perfect spot for JCs. Glad you are interested. I’ll be at happy hour, unless there’s a schedule clash, which I predict, but I look forward to discussing possibilities with you, my friend!
Happy birthday, Heinz!
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Presentation: The Data Backbone of LLM Systems
Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a "Second Brain" AI assistant, covering everything from data pipelines to observability and agentic layers.
By Paul IusztinHoneycomb Hosted MCP Brings Observability Data into the IDE
Honeycomb has launched its hosted Model Context Protocol (MCP), giving developers real-time access to observability data inside IDEs and AI tools like GitHub Copilot. Available as a managed service on AWS Marketplace, it removes the need for self-hosting and streamlines debugging by surfacing traces, metrics, and logs without context-switching.
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At times, to evolve your product, you need to rebuild it from scratch. The article provides the story behind the rewrite of InfluxDB from scratch using a different programming language - Rust - and stack - Apache Flight, Data Fusion, Apache Arrow and Parquet (FDAP). It emphasises the benefits, as well as the mechanics behind its operation and the different versions of the product.
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John Gesimondo explains a framework for achieving sustainable mental peace at work. He shares practical recipes for using GenAI to improve emotional recovery, overcome task paralysis, and enhance planning and communication. He demonstrates how to leverage AI to outsource routine tasks, freeing up time for more engaging and meaningful work.
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