Using Parka Agent to Capture Data From Your Applications at Super Low Overhead
parka helps us understand, from a cpe perspective, where is the time spent writing the current implementation? That's what it tells us really, really well. So how about we try it out? We're going to run it in our production cubenety set up just like that. Why not crate name space, apply the ser and appli the agent. And then from parka you can actually visualize it. Ok. Make shipping coade fast, great. Making it better and improving it, i love that. When things go wrong, understanding what exactly went wrong, what see p what disk? What network? Where is the bottl system perspective? As well as, obviously
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Merry Shipmas! This is our special Christmas episode which sums up two months of very early mornings and a few late nights. After many twists and turns, stuff which didn’t work out, as well as pleasant surprises, this is what we ended up with:
🎁 PR #395 - CI/CD Lego set with Guillaume de Rouville & Joel Longtine
🎁 PR #396 - Continuous CPU profiling with Frederic Branczyk
🎁 PR #399 - Auto-restoring Kubernetes clusters with Dan Mangum & Muvaffak Onuş
While we initially intended to have five Christmas presents in total, only three got delivered in time. We planned, worked hard and eventually shipped the best we could just in time for this special Christmas episode. Our hope is that the latest additions to our changelog.com GitHub repository will help you just as much as they will help our 2022 setup.
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