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Alexis Le-Quoc

Co-Founder and CTO, Datadog. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderexecutiveengineerinvestor@alq ↗LinkedIn ↗datadoghq.com ↗

Alexis Lê-Quôc co-founded the cloud monitoring and observability platform Datadog in 2010 with Olivier Pomel, helping scale the company to its Nasdaq IPO in 2019. Earlier in his career, he served as Director of Operations at Wireless Generation and worked as a software engineer at IBM Research, Neomeo, and Orange.

1shows
1appearances
8statements
0resolved
0supported
0contradicted
3said about them ↓

Everything Alexis Le-Quoc said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Insight
Datadog CTO: False positives, not missed alerts, are the primary enemy in monitoring
“So that, that's why I would say for us to, it's really false positives. That's the enemy. Somehow you'll find out when something goes wrong.”
Alexis Le-Quoc Nov 23, 2015 ▶ 19:44 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Assertion Not checkable as stated
Le-Quoc: Vast majority of industry still struggles with data visualization
“Not the sort of advanced customer of ours, you know, say, you know, Airbnb or Twitter or, Spotify, but the vast majority of the industry is, is still kind of struggling with that.”
Alexis Le-Quoc Nov 23, 2015 ▶ 2:48 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Insight
Le-Quoc: Continuous dashboard monitoring fails due to human visual fatigue
“Once you can put it on a screen, it's great, but you're not gonna watch watch this for an entire day, or even a few hours, because A, you'll get tired of it, B, your brain will sort of things will become blurry, and you'll, you'll use your, you'll lose your ef…”
Alexis Le-Quoc Nov 23, 2015 ▶ 3:04 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Insight
Le-Quoc: A team's software understanding is only as good as its monitoring
“For all the customers the understanding that they have of the application is only as good as their monitoring.”
Alexis Le-Quoc Nov 23, 2015 ▶ 4:32 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Insight
Datadog CTO: Software uniquely rewards maximizing the rate of deployment change
“In the industry of software, we pay a premium for rate of change. By that I mean, and it's very different from a physical production line, is the faster the production line changes, the better off we are. That means the faster you can go to market the more fea…”
Alexis Le-Quoc Nov 23, 2015 ▶ 8:20 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Insight
Le-Quoc: Monitor statistical outliers rather than individual metric time series
“I don't want to monitor any particular of the time series, because there are too many of them, just the volume of data is too large. Rather, I want to find the ones that, that sort of deviates.”
Alexis Le-Quoc Nov 23, 2015 ▶ 10:46 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Insight
Alexis Le-Quoc: Prioritize work metrics over resource metrics in system monitoring
“Not all metrics are created equal, and the ones you want to really care about it are the work metrics. So in that large volume of metrics, if you already classify in, in two classes of metrics, work and resource, you can reduce your search space by a lot.”
Alexis Le-Quoc Nov 23, 2015 ▶ 14:27 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog
MAD Assertion Not checkable as stated
Datadog data showed an average of four Docker containers per host
“We actually looked at our data set for adoption, and so things we extracted are number of containers on average, or distribution of containers per machine, which I think the average was about four”
Alexis Le-Quoc Nov 23, 2015 ▶ 21:19 Data: Monitoring to Analytics to Understanding // Alexis Le-Quoc, Datadog

The other half of the tape: Alexis Le-Quoc's own voice is left out of every number here. Other people bring the name up 3 times in 1 episode across the shows. every mention, with the transcript →

Who brings them up most Olivier Pomel 3

Every mention by year

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the MAD Podcast 3

One line per show, most statements first. The link opens Alexis's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
MADLEDGER Co-Founder and CTO, Datadog 1 8 full record on the MAD Podcast →
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