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rkwasny
searching PlanetScale…
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26 ms
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301.
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Design and Implementation of the Wave Transactional Filesystem
(arxiv.org)
1 points
by
rkwasny
11y ago
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0 comments
302.
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rkwasny
11y ago
So mobile networks this days do MITM to all TCP connections, nice. Happy time to debug problems ....
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rkwasny
11y ago
1M? great Now have a look at: https://www.techempower.com/benchmarks/#section=data-r10&hw=...
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rkwasny
11y ago
This picture is accurate, just someone should realize this shit on the top is not needed and not adding any value.
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rkwasny
11y ago
Solving #firstworldproblems … what’s next?
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AMD Catalyst Linux Driver Performs Differently Based on Program's Name
(linux.slashdot.org)
33 points
by
rkwasny
11y ago
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11 comments
307.
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rkwasny
11y ago
I don't know WTF is wrong with docker guys and everyone implementing this crazy redirects. Have you heard about ipv6? every container can have own address or even 10! there is enough for everyone. No crazy mappings/iptables redire
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rkwasny
11y ago
This is the same problem as with other systems: You NEED to have an embarrassingly parallel problem to solve. Sequential part and Amdahl’s law will catch you quickly.
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rkwasny
11y ago
This might be unrelated, but after reading this 3 years after publication I think that Go approach to error handling i so much better because of exactly the same simplicyty as C. ( If you dont’t understand why, dont’t worry it will be obvio
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rkwasny
11y ago
Looks like a 6 week pitch to introduce SAP HANA
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rkwasny
12y ago
for the alpha version it searches 1TB of code from github. I picked the top starred projects ( which means everything with >45 stars should be searchable ) The plan is to integrate metadata search and then expand the index.
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rkwasny
12y ago
Hi, this is currently an Alpha version of the codesearch, lots of features are missing and the index is not 100% up to date. I build this as a replacement of code.google.com If you have any ideas let me know!
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Show HN: HackerSearch.io – GitHub search that supports RegExp
(hackersearch.io)
9 points
by
rkwasny
12y ago
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3 comments
314.
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rkwasny
12y ago
I don’t quite agree with all the calculations of AWS vs DIY. m3.medium instance - 1 core, 3.75GB RAM, 4GB SSD Typical server this days: 2*10 physical cores, 256GB RAM, 2 TB SSD For around ~$10k So you can run AT LEAST 20 m3.medium instances
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rkwasny
12y ago
So you can run MLLib on Spark on YARN on MESOS on EC2 ;-)
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rkwasny
12y ago
Scheduling jobs by distributing docker container? Looks really heavyweight. There is a good reason most of Map-Reduce frameworks are written on top of JVM - it is VERY easy to serialize Java/Scala code ship it to remote host and execut
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rkwasny
12y ago
How it compares to LMDB?
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rkwasny
12y ago
I've got a different question: "Where do I find a non-technical cofounder?" It seems people that understand tech but also have sales/management skills are a rare scarcity.
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rkwasny
12y ago
This looks like an "accident" by PR Agency: http://www.frsag.org/pipermail/frsag/2015-January/005722.htm... From: Mar 27 Jan 15:28:45 CET 2015 Half an hour after Redhat lifted embargo from the ticke
320.
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rkwasny
12y ago
Bottom line is - you do not need hadoop until you cross 2TB of data to be processed (uncompressed). Modern servers ( bare metal ones, not what AWS sells you ) are REALLY FAST and can crunch massive amounts of data. Just use a proper tools,
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rkwasny
12y ago
Nice try to get my data Not this time ...