5 posts
meta This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analy…
datadog Christophe Nasarre Previously in this series, we presented a high-level overview of Datadog’s .NET continuous profiler and discussed CPU and wall time profiling. This third part covers exceptions and lock contention profiling, with related sampling strategies. When an applicatio…
datadog Felix Geisendörfer Without a doubt, Go 1.18 is shaping up to be one of the most exciting releases since Go 1.0. You’ve probably heard about major features such as generics and fuzzing, but in this post, I’ll focus on profiling and highlight a few noteworthy improvements to look…
datadog Vladimir Zhuk Performance bottlenecks are not always (or some might say, never) where you expect them. We have all been there, knowing that there was a latency, but not finding it in any of the expected places. There is nothing worse than seeing that there's a latency and having…
datadog Julien Danjou Last year, we started building our Continuous Profiler product at Datadog, and this summer at Dash, we launched a Continuous Profiler product. While this new feature ultimately targets a wide variety of languages, the first languages chosen were Java and Python. Ja…