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Prikvačeni tweet
We finally got around writing-up a formal treatment of the Circonus Log-Linear Histogram data-structure! Here is the TL;DR ... 1/xhttps://twitter.com/circonus/status/1221903706553245696 …
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Finally solved this problem: AJAX request from Bookmarklet works just fine. https://mrcoles.com/bookmarklet/ Sometimes simple things are easy. CORS/CSP do not apply to AJAX requests. Just resource loading via <script> / eval(); which we don't use here. https://twitter.com/heinrichhartman/status/1221824664755941377 …pic.twitter.com/gTwY4yzJ3j
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Heinrich Hartmann proslijedio/la je Tweet
“If you downloaded your data, it may be incomplete, and it may contain videos that are not yours”. Google casually dropping that in there.https://twitter.com/jonoberheide/status/1224525738268905477 …
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Heinrich Hartmann proslijedio/la je Tweet
Trying to get a better picture of our
#microservices landscape via#OpenTracing#d3jspic.twitter.com/sges3X1qKZ
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Heinrich Hartmann proslijedio/la je Tweet
The older I get^W^W^Wmore I read math textbooks, the more I recognize the parallels between the tension in writing clear code and the tension in proving theorems cleanly
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Heinrich Hartmann proslijedio/la je Tweet
Performance artist generates virtual traffic jams in Google Maps by pulling a wagon full of smartphones http://www.simonweckert.com/googlemapshacks.html …pic.twitter.com/m3bmQXvswI
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This stuff is really great : )https://twitter.com/QUADROWORLD/status/1219287376926859271 …
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Heinrich Hartmann proslijedio/la je Tweet
Hole dir den Spielplatz von http://quadroshop.de nach Hause und fördere die Motorik deines Kindes nachhaltig!
#Klettergerüst#Spielhaus#Kletterturmpic.twitter.com/644YJXlToc
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What a beauty! Dynamical systems visualized with
@datashader https://datashader.org/ https://examples.pyviz.org/attractors/attractors.html …pic.twitter.com/09VKCSPQ9U
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Heinrich Hartmann proslijedio/la je Tweet
The paper on Circllhist log-linear histogram by
@heinrichhartman &@postwait is published and can be found at https://arxiv.org/pdf/2001.06561.pdf …. Including links to opensource implementations and code to reproduce their results.https://twitter.com/postwait/status/1125032700023328768 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Heinrich Hartmann proslijedio/la je Tweet
For those who missed it, I played with
@GCPcloud last night, expecting to snark all over it. Instead the experience was damned close to perfect, and now my opinion of@GCPcloud has shifted as a result.https://twitter.com/QuinnyPig/status/1222734098289979393 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"It's really hard to dehumanize, even the enemy" -- CIA & NSA director Hayden https://youtu.be/S_sr7s0JmZo?t=704 … My take-away from
#Ausschwitz is that we MUST NOT dehumanize anyone. Not "enemies". Not criminals. There are no "bad guys" -- only humans, with all their imperfections.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Heinrich Hartmann proslijedio/la je Tweet
I'm looking for someone to take over writing Monitoring Weekly. I'd prefer someone unaffiliated with a monitoring vendor (that objectivity is crucial!). You don't need to be an expert in the space, just a desire to become one. Let's chat. mike at duckbillgroup dot com
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Heinrich Hartmann proslijedio/la je Tweet
This is an absolutely smashing paper on how the NHS hides data in plain sight causing anyone doing analysis (me included) no end of woe.https://twitter.com/bengoldacre/status/1216759904926674949 …
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- More deatils: Read the paper! - Try the Circllhist: https://github.com/circonus-labs/libcircllhist … - Reproduce the evaluation: We have source code & docker image on GitHub: http://github.com/circonus-labs/circllhist-paper … fin.
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Finding 3: Circllhist + DDSketch + HDR Histogram deliver quantiles with high precision (<2% error) and have a-priori error bounds. - t-digest accuracy can tank after multiple merge setps - Typical Prometheus Histograms do not give competitive quantile accuracy (10 bins) 6/xpic.twitter.com/J5lguyUDOj
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Finding 2: Performance evaluation in our particular setup show Circllhist with best-in-class insertion + merge performance. t-digest is faster for quantile calculations. Source code: http://github.com/circonus-labs/circllhist-paper … 5/xpic.twitter.com/GqKnTnma7S
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Finding 1: Everyone uses thier own definition of quantiles. We find type-1 quantiles make the most sense. In any case watch out when comparing them. 4/xpic.twitter.com/7HZoj1CvUJ
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For the evaluation we consider the following alternative latency summary technologies found in the wild: - HDR Histograms /
@giltene - t-digest /@ted_dunning - DDSketch = Log Histograms We also include@PrometheusIO histograms (not really fair comparison) 3/xpic.twitter.com/P6Pmh02MaC
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The circllhist is a data-structure that allows to capture and analyze latency distribution. Here is how it looks. It's fully mergable, unbounded, fast (ns insertions), and reasonably small (<10kb) and accurate as well as battle tested for nearly a decade. 2/xpic.twitter.com/20q97IaiG2
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