Datadog, every mention
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every year anyone Shawn Wang 11Sam Whitmore 9Samuel Colvin 4Anish Agarwal 4Alessio Fanelli 4Sarah Sachs 3Cole Murray 3Rohit Agarwal 2Jonas Nelle 2Ankur Goyal 2
Verbatim, from the transcripts: the passages where Datadog comes up
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 30:48 unnamed speaker Maps closely to, like, a logging and observability problem where you might want to use, like, a datadog, a sentry, whatever, and then you, like, put, like, head prefixes on the logs, you know, if you need to filter for something that…
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
- ▶ 1:02:52 Cole Murray Uh, the idea that whether we have our alerts in Slack or Datadog or wherever they're going, we want the agent to be the first responder on that. 3 times in the scene
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 1:27:57 Jake Cooper We got to, like, on, on the Datadog dashboard, it's like, it got to a hundred percent, and then it, like, divvited back down into the, like, nineties or whatever, because we were like, you know.
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 9:08 Sarah Sachs So like the analogy that I've been coming back to is Datadog and AWS. 3 times in the scene
- ▶ 9:39 Alessio Fanelli I feel like Datadog is half and half implicit and explicit. 3 times in the scene
Extreme Harness Engineering: 1M LOC, 1B toks/day, 0% human code or review — Ryan Lopopolo, OpenAI
- ▶ 28:22 unnamed speaker You still pay Datadog. 2 times in the scene
Cursor's Third Era: Cloud Agents — ft. Sam Whitmore, Jonas Nelle, Cursor
- ▶ 15:38 Sam Whitmore This is one that, um, makes heavy use of the Datadog MCP. 9 times in the scene
- ▶ 28:50 Jonas Nelle Sam loves the Datadog MCP and Slack MCP.
- ▶ 37:48 Jonas Nelle I think right now we're really focused on kind of what we see as the next big bottleneck, and because things like the Datadog MCP exist, I don't think that the best way we can help our customers ship more software is by building a hosting…
[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor
- ▶ 38:34 Ashvin Nair But, uh, you know, what we're really aiming for is, like, more, like, you know, automate software engineering as a process where you, like, write code, you go look at Datadog, uh, look at what's, like, happening, then come back and, like,…
⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl
- ▶ 24:46 unnamed speaker Which is why I think like people like Datadog and Sentry are trying to do that, obviously because they're observability platforms, but they never own the code.
⚡️Traversal: Causal ML and Reinforcement Learning
- ▶ 7:16 Anish Agarwal And you have to like query autonomously many different systems, whether it's Elastic, Grafana, ServiceNow, Datadog, Elastic.
- ▶ 12:50 Anish Agarwal Like Grafana or Datadog or something, even when something isn't wrong to just get like a health check of like, is everything okay?
- ▶ 22:55 Anish Agarwal They're using, I mean, like one company worked with using Datadog, ThousandEyes, Splunk, Dynatrace, 2 times in the scene
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ▶ 1:02:39 Shawn Wang Not just Datadog and MongoDB.
The AI Coding Factory
- ▶ 18:06 Matan Grinberg Slack, Notion, linear, like Datadog, Sentry, PagerDude.
[Lightning Pod] Evals: How to Improve AI Consistently — with Hamel Husain and Shreya Shankar
- ▶ 4:29 Shawn Wang We had in the New York conference, the data dog guy, I forget his, Diamond Bishop, I think he presented, ah, sub eval, some ways in which he broke down evals, which I thought was pretty cool.
Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire
- ▶ 17:00 Samuel Colvin oh yeah, by the way, as well as trying to take on Datadog, we're also going off and trying to take on Temporal and everyone else doing that.
- ▶ 37:37 Samuel Colvin So the sensitivity of the data that's going to end up in observability platforms is going to be at, like, basically different order of magnitude to what's in a, what, what you would normally send to Datadog. 3 times in the scene
- ▶ 38:42 Alessio Fanelli And then this is, I think the first time that most of the workloads performance is depending on a third party, you know, like if you're looking at Datadog data, usually it's your app that is driving the latency and like the memory usage…
- ▶ 48:49 Shawn Wang Then you start entering the territory of the data dogs, the centuries and the honeycombs. 6 times in the scene
Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
- ▶ 15:46 Rohit Agarwal So it's not just AI observability, but there's tons of other things that you need to do around it, which probably is better done on like a Splunk or a Datadog or a Grafana, and we're totally okay with that.
- ▶ 30:10 Rohit Agarwal You will not have cloud adoption till the time DevOps did not take off, and companies like Datadog, Cloudflare, et cetera, didn't help you build applications, you know, for faster, cheaper, more efficient.
Agents @ Work: Dust.tt — with Stanislas Polu
- ▶ 52:08 Shawn Wang Ops, Datadog, just tracking. 2 times in the scene
How NotebookLM Was Made
- ▶ 10:03 Shawn Wang Cancel data dog.
Production AI Engineering starts with Evals
- ▶ 1:04:16 Ankur Goyal I mean, I was at Figma when we were, like, we used Datadog, and we built our own prompt playground.
- ▶ 1:47:01 Ankur Goyal My conclusion is that this is a very real problem for a very small number of companies, and that is why Datadog, Splunk, Honeycomb, et cetera, et cetera, built their own database technology, which is, in some ways, it's sad because all of…
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- ▶ 55:05 unnamed speaker As, as like sort of an AI native ops layer versus what did you just plug into Datadog, right? 3 times in the scene
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 36:23 Erik Bernhardsson Like I, I think of companies like, I don't like Datadog or Mongo or something like that where like, they both captured like the hobbyists like, and, and, um, and, and, and acquire them, but also like, you know, have very large enterprise…