Dave Stanke

Roblox is launching Creator Rewards, a new program that pays developers not just for in-game spend, but for growing the entire platform. If a creator brings in a new or returning user, or helps keep someone engaged daily, they now share in the value that user generates. It’s a big shift — and one that better aligns incentives between developers and the platform. Huge credit to Jim Meenan and the Creator Success team for leading this work. Full details here: https://lnkd.in/gBkVnq5x Our CPO Manuel Bronstein articulates the broader strategy in this Verge interview: https://lnkd.in/g2fKWDMq

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It's a big day at Honeycomb! We're announcing major advancements in Honeycomb Telemetry Pipeline that unlock a new era of observability—one without tradeoffs. 🔥 Over the past several years, conversations around observability have revolved around challenging tradeoffs: retention versus fidelity, availability versus speed—and always, the constant pressure of cost. With the rise of OpenTelemetry shifting telemetry ownership from vendors to engineering teams, it was no surprise to see telemetry pipelines quickly emerge as essential infrastructure. Yet—as standalone solutions—these pipelines reinforce divisions between the producers and consumes of telemetry data (but this time, more toxically, often within the same organization). Honeycomb is committed to a different approach: deeply integrating telemetry pipelines into the observability experience itself. ✨Enhance✨ is the first step toward this vision, eliminating the traditional tradeoffs in data management. Teams now retain easy, cost effective access to all their telemetry, even (especially! 💥) the bits they didn’t expect to matter. By aligning telemetry data management directly with data usage patterns, we're able to foster positive feedback loops across engineering teams and lay the groundwork for a more integrated, insightful, and collaborative future. Welcome to an era of true lossless observability. It's gonna be exciting. 🚀 Learn more from our press release: https://lnkd.in/dqgCZDyy

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Thrilled to have joined the EdTech Insiders podcast, recorded live at Google's Learning in the AI Era event, for a deep dive into the future of learning! These are truly exciting times for AI and education, with so much potential on the horizon. We covered a lot of ground: - We explored how AI can be integrated into classrooms to personalize learning and bridge the gap between in-class and at-home learning, creating a more connected and effective experience. - I shared insights into LearnX's (my team) collaborative approach to driving learning innovations across Google, fostering partnerships and developing cutting-edge tools. - I introduced Learn About (available on Google Labs: https://lnkd.in/esYidUt7), our new AI-driven conversational tool that combines pedagogy with the web's resources for engaging and interactive learning. - We discussed our vision for AI to make high-quality, personalized education accessible to billions globally, breaking down barriers and democratizing knowledge. A big thanks to @EdTech Insiders for creating a platform to explore such exciting topics! Listen to the full episode here: https://lnkd.in/ebtG9dgx For a sneak peek at some of the other Google leaders' insights from the Learning in the AI Era event, check out this other podcast from EdTech Insiders: https://lnkd.in/eUyC8Vpm

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In a new blog post, Marc Bowes looks at how updates work in Aurora DSQL, and what it means for scalable schema design. Read it here: https://lnkd.in/gmGEK8Dv A couple take-aways for application builders: - You mostly don't have to worry about hot read keys in DSQL, even in read-write transactions. DSQL can scale out per-key read throughput, and the design requires no co-ordination between transactions reading the same key. (Thank you, MVCC and Time Sync!) - Scalable applications do need to avoid high-contention write keys when doing updates. Writes need to be coordinated and ordered (to implement the I in ACID), which limits per-key throughput. - Most applications can avoid hot write keys with the right schema design. Most applications have already been written this way, because high-contention keys perform poorly on relational databases of all kinds.

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New post from me on the complexity and importance of metric backfill in mobile observability. Backfill is typically an afterthought in traditional server-centric TSDBs, and it is anything but in the mobile world. Enjoy! (Blog link in the comments.)

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Some exciting updates are coming to POS UI extensions 🚀 This summer, we introduced new capabilities: Direct API access, Storage API and new targets on the cart line item details screen. I'm excited to preview even more exciting things coming in 2025-10 and beyond. 🎨 Polaris We're lowering the barrier to making great POS UI extensions by bringing Shopify's single UI framework, Polaris, to POS. Write highly-performant, HTML-like code that works with any framework for any app and any extension surface, including Shopify POS. Preview components and examples in the release candidate documentation: https://lnkd.in/gwciA7CT We understand this is a big change if you've previously been writing your UI code with React. Get ready with our upgrade guide: https://lnkd.in/gjQAY-pf 🗺️ Navigation Extensions can present native detail screens. Present product details, product variant details, customer details, order details, and staff details without retail staff leaving your extension and workflow. Documentation: https://lnkd.in/gvmd6etq 🛒 Cart API We're adding support for subscriptions and making tweaks to how we provide your extension with updates from the cart. Documentation: https://lnkd.in/g3FCe-kX 📚 Documentation improvements We have added a new targets overview page that provides a great overview of available targets with improved descriptions and visuals: https://lnkd.in/g6nDZmu8 🛠️ Developer Experience We're making improvements to the developer experience with better in-app extension development tools, better debugging tools, and hot reloading. Keep an eye on upcoming versions of Shopify POS as we'll be rolling out these improvements into January. 🔮 Next-gen developer platform Shopify has launched a new Dev Dashboard, and we've transitioned apps and dev stores from the Partner Dashboard. Make sure to update to the latest version of Shopify's CLI and check out the latest news: https://lnkd.in/gkGvn7Tz

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How do independent AI agents securely collaborate outside of walled gardens? They need a universal trust and identity model. Building on the foundational concepts in the IETF's draft-narajala, our work tackles the operational reality: a Registration Authority to handle the heavy lifting of validation, certificate management, and immutable logging. At its core, the system gives every agent a unique domain name, anchored in DNS and PKI, to create a permanent, auditable history. The architectural breakdown is in this post. https://lnkd.in/gv_BWvmE #DNS #PKI #IETF #AI #Trust #Cybersecurity #GoDaddy

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Excited to share that MongoDB Store for LangGraph is now live! This integration empowers agents with long‑term memory, enabling them to recall, evolve, and build upon user interactions across different sessions—no more goldfish memory. - Agents can finally remember, learn, and evolve across interactions. - Context isn’t lost — it compounds, making AI more useful over time. - Builders get a scalable, secure, and production-ready foundation to power the next wave of intelligent applications. With MongoDB, agents gain - JSON-native memory for complex state and interactions - Atlas Vector Search for semantic recall, not just keywords - TTL controls to manage memory lifecycle - Enterprise-grade scale & reliability for production use At MongoDB, we’re building the data backbone for adaptive, context-aware AI. This release moves us closer to a world where agents don’t just respond — they grow with you. https://lnkd.in/eGpx-SMc

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