Founder of LinuxQuestions.org, VP Open Source and Technical Community @datadoghq, CNCF Board, Linux Fund, ardent but realistic open source advocate.

Joined February 2007
118 Photos and videos
Jeremy retweeted
Going to be in NYC Tuesday for @datadoghq dash. Who should I meet?
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Jeremy retweeted
The Datadog Ambassadors program has grown into a global community of practitioners sharing what they learn about observability. This week, we've introduced the 2026 cohort, along with a new program: Datadog Champions, recognizing community contributors across 11 countries. Read more about our ambassadors' contributions: bit.ly/4abbaf6
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Jeremy retweeted
May 24
Codex can do incredible things on demand, but it cannot experience life for you. Don’t forget to get out there and remember who you’re building for.
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Jeremy retweeted
The massive growth of Codex isn't just noise on twitter, early data from the Lapdog launch shows a very strong mix of coding agents:
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Jeremy retweeted
NEW from Datadog: it's Lapdog! Ever wondered what your AI agent was actually doing? Our latest free project runs locally and traces reasoning and tool calls in Codex, Claude Code, and Pi. You can now see what your agent is REALLY doing, live: lapdog.datadoghq.com/
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Jeremy retweeted
did you know cloudflare encrypts the internet using a wall of lava lamps? 100 of them sit in their SF lobby. a camera films the chaos, the images get hashed, and the result seeds the cryptographic keys for ~20% of global web traffic. the london office uses a wall of double pendulums. the austin office uses hanging rainbow mobiles. the singapore office uses a chunk of uranium in a glass jar. just in case the lava lamps stop being weird enough.
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Jeremy retweeted
AI agents are only as good as their context. 🤖 Give your agents secure, real-time access to your Datadog telemetry, monitors, and dashboards with the new Datadog MCP Server! Watch the latest episode of This Month in Datadog to learn how: bit.ly/4wjFqy0
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Jeremy retweeted
It isn't unexpected that the focus of the Bun Rust rewrite is on the anti-Zig side more than anything, since the internet loves to hate. What is unexpected and unfortunate is that leadership within Bun hasn't tried to steer the conversation away from that at all. There are so many positive and interesting takeaways from this and I'm not really seeing any of them pushed as the primary message. A positive thing that hasn't been talked about at all is how far Bun came thanks to Zig. And even if you dump it now, its meaningful for how good Zig was to even build a product to this point and impact by any metric. I would've loved to see anyone in leadership say this. On the interesting side is how fungible programming languages are nowadays. Programming languages used to be LOCK IN, and they're increasingly not so. You think the Bun rewrite in Rust is good for Rust? Bun has shown they can be in probably any language they want in roughly a week or two. Rust is expendable. Its useful until its not then it can be thrown out. That's interesting! There's been a lot of talk about memory safety and no doubt Rust provides more guarantees than Zig. But I'd love to see a better analysis of why Bun in particular suffered so much rather than take the language-blame path. How could engineering as a practice been more rigorous to prevent this? What were the largest sources of crashes other programs should watch out for? How does Rust prevent them? How could Zig theoretically prevent them? That's interesting. I know the official blog post hasn't come out yet from Bun. But they're smart enough to know that that PR would stir up controversy the moment it opened, or they should've been. And plenty in the company have been tweeting and writing about it. Its somewhat telling to me in various dimensions what they chose to talk about first. I tend to think I'm pretty good at corporate PR/comms (especially when it comes to developer audiences) and I think appealing to the negative is never the right long term strategy; it does work to get short term eyes though.
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Jeremy retweeted
Toto 2.0 is here: Datadog AI's 5 open-weights forecasting models (4m-2.5B params) finally make scaling work for time series forecasting! #1 on BOOM, GIFT-Eval, and TIME. Weights/code Apache 2.0. 🔗 Read the blog post for more details: bit.ly/4tCFvKL
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Jeremy retweeted
🎬 April’s This Month in Datadog is live, and we are showing you how teams are using AI to move faster with better context across their systems. Want to see what’s next? Join us at DASH for an immersive look at the latest in AI-powered observability and security. Secure your spot: dash.datadoghq.com/?utm_sour…
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Jeremy retweeted
Wyndo answers your weather questions based on input from @OpenWeatherMap @open_meteo @NWS and is hosted on @Railway and @Cloudflare Pages. Weather apps tell you it'll rain. Wyndo tells you when to go. wyndo.app/
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Jeremy retweeted
I can feel LLMs lightly eroding my brain's willingness to focus on anything hard for more than 10 minutes, even things that I enjoy, and this is maybe the most scared I've ever been of a consumer technology.
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Jeremy retweeted
NEW: Wake up to today's answer. Set a 7am run routine; get a yes/no in your inbox or on the dashboard. Logged in users only! wyndo.app/welcome?step=routi…

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Jeremy retweeted
NEW: Send a friend "should I run now?" as a live link. They get a real answer for where they are, not where you are. wyndo.app/run-now
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Jeremy retweeted
New on wyndo.app: every recommendation comes with the why in one sentence. Engine decides deterministically. AI narrates. Can't hallucinate the weather, just translates the trace to plain English.
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Bits AI Security Analyst, Bits AI Dev Agent, Bits Assistant, Spotlights on Datadog MCP and Datadog Experiments, and more… This Month in @datadoghq youtu.be/RoKS5wByv8U
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Jeremy retweeted
The question: should i run now? weather apps: 78°, 60% chance of rain today. Wyndo: you've got 47 minutes before the storm. wyndo.app
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Is "markdown cool again", or was it cool the entire time?
The future of productivity might look a lot like the past: simple, structured text files that allow AI agents to perform thorough, deep-dive analysis at scale. Datadog CTO, Alexis Lê-Quôc, shares how he’s using AI to bridge the gap between human-led outlines and data-driven research. Explore more on This Month in Datadog: youtube.com/watch?v=RRl9KM6Q…
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Jeremy retweeted
we literally have no idea how to make software anymore
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Jeremy retweeted
unfortunately i need to stop playing with how cool the technology can be and ship practical things people can use
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