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Zachary Proser

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  • Jul 22, 2024 | thenewstack.io | Susan Hall |Zachary Proser |Roie Schwaber-Cohen |Oladimeji Sowole

    The Momento co-founders, part of the engineering team that built DynamoDB at AWS, wanted to make adding a dynamic cache to your application as simple as creating an S3 bucket. More recently they’ve added Topics, a low latency pub/sub feature and are turning their attention to storage as part of the platform.

  • Jul 11, 2024 | thenewstack.io | Heather Joslyn |Zachary Proser |Roie Schwaber-Cohen |Oladimeji Sowole

    SEATTLE — Chances are, if you’ve lived through a few innovation cycles, you’ve got too many old computers — and their cables — cluttering your house. Do you think that if you had the right to repair your devices, to swap out obsolete components for more performant ones, you wouldn’t keep piling up castoff electronics? So does Matt Hartley, guest on this On the Road episode of The New Stack Makers, recorded at Open Source Summit North America in April.

  • Jun 18, 2024 | thenewstack.io | Zachary Proser

    GenAI creates personalized web experiences by combining proprietary data with the knowledge of individual users. How can we ensure this knowledge is handled safely per security compliance standards? How can we provide our users with guarantees around the deletion of their personal identifiable information (PII)? Let’s examine tools and patterns you can use to ensure your applications are compliant with security and privacy standards.

  • Jun 11, 2024 | thenewstack.io | Heather Joslyn |Ben Chambers |Liam Crilly |Zachary Proser

    The ‘phenomenal impact’ of working with TNS on ‘thoughtful content’Fermyon’s platform helps developers get their WebAssembly cloud native applications up and running in minutes, potentially speeding up workflows at millions of organizations. The company knew it needed to reach both cloud native developers and platform engineers, as well as technical decision makers, explains Fermyon CEO Matt Butcher.

  • Nov 27, 2023 | pinecone.io | Zachary Proser

    Pinecone’s vector database scales to billions of vectors and returns queries in milliseconds. We’ve heard from customers that our many open-source Jupyter notebooks and example applications are ideal for hands-on learning and exploring new AI techniques, but it’s less clear how to go to production with AI applications leveraging Pinecone’s vector database at scale.

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