For this role, we're looking for a self-starter with interest in low-level computing -- maybe a CS background? You'll be working with concepts like sampling rates of various resources in runtimes like the JVM or Go to help identify anomalies and trends in Profiling data.
My team at Datadog is looking to hire our first data scientist! We have some of the largest data sets in the company but haven't yet had anyone focused on applying stats/ML to help make sense of them.
No public posting yet, but reach out if you're interested!
My colleague @_Pyves just published a blog post about the source code preview features of our continuous profiler 🎉.
One cool UX detail is how we show source code in the default view where we group by function rather than by line.
You can reduce CPU usage of your Go services by up to 14 percent with Datadog’s profile-guided optimization tool. Read how we used it in our own environment: https://t.co/z2Z5WILMBf
Save infra cost with profiling!
"How profiling could forecast latency impact of infrastructure downsizing"
A little behind-the-scenes of a feature that was announced at Dash couple months ago.
https://t.co/N3pH98Csps
#datadog#cloudservices#observability
@winston_chang Now everybody can mark off the "Winston makes a reference to drug paraphernalia" square on their posticonf bingo card (if they hadn't already).
I’m happy to share some of the projects my team at @datadoghq (the profiling team) has been working on over the past year. One of our main initiatives is to surface complex performance issues through effective visualization of profiling data.
https://t.co/HzSyhx0Qeb
I can finally talk about the new feature I've been working on @datadoghq for the past few months.
Please check out our new profiling timeline for Go. We believe it's an absolute game changer for debugging tricky latency problems. #golang#performance 🧵
https://t.co/XXy8nW99Jh
A new @datadoghq feature my team and I have worked on has officially gone live (public beta) now:
Watchdog Insights for Continuous Profiler 🎉
The idea is to automate some of the problem analysis and solution proposal a profiling expert on your team might provide.
Earlier this month I wrapped up my time at @rstudio. I couldn't have asked for a better team, company, or community.
But I'm thrilled to start today with @datadoghq!