gsteph22

10 ms·

31.
by gsteph22 17y ago
You oughta be -- they're pulling the strings.
32.
by gsteph22 17y ago
Thanks, exactly :)
33.
by gsteph22 17y ago
I got HackerNewsDotted. Amazing.
34.
NoSQL: Why it's So Damn Sticky(roadtofailure.com)
50 points by gsteph22 17y ago|38 comments
35.
by gsteph22 17y ago
Note: We're totally awesome enough to win. We just have a lot of other commitments ;)
36.
by gsteph22 17y ago
We've got a big demo we need to finish in March. I suppose we'll give it a shot.
37.
by gsteph22 17y ago
The word "butthurt" comes to mind when thinking of this article. ;D
38.
by gsteph22 17y ago
HBase is basically a column-based key-value store. It's just where we store our data. We provide a real-time query language, structured and unstructured search, processing. It's a complete data platform.
39.
by gsteph22 17y ago
It's a lot more than "something with HBase" :) It'll be hosted in the cloud (SaaS-style), or you can run it in the datacenter.
40.
Burn your Database? Announcing the Drawn-to-Scale Platform.(roadtofailure.com)
7 points by gsteph22 17y ago|4 comments
41.
by gsteph22 17y ago
The main thing is: we focus on bringing a cost and performance advantage to the small and medium companies, to make their lives a little better.
42.
by gsteph22 17y ago
It's not only the cloud, it's also in the datacenter :)
43.
by gsteph22 17y ago
Yes, Everest is cool stuff. If you have huge datasets, we'd love to hear from you. If even to chat for a few minutes about what your data looks like. Ping me at info@drawntoscale.com -- maybe we can help!
44.
by gsteph22 17y ago
Oh, and as far as scale-wise: we run on the "web scale", which means a dozen to hundreds or more of computers, each generating tons of logs. It's why we're built on Hadoop. It's the main complaint our customer research indicated people have
45.
by gsteph22 17y ago
Looks like I got cut off in the middle. *You can write Pig or Hive scripts to generate interesting analytics.
46.
by gsteph22 17y ago
Thanks for providing this valuable perspective. I sort of group grep/Perl scripts/everything else together as manual processes. What I was getting at is the whole "roll your own" scripts is a royal pain in the ass. For analytics, you're rig
47.
by gsteph22 17y ago
Thanks! Actually our software runs in the cloud or in your datacenter. If it's in the cloud, it can be encrypted in trasmission (or stored encrypted if you're willing to take the performance hit). If it's sensitive data, I'd recommend jus
48.
by gsteph22 17y ago
We have tried them :) And so have several of our customers.
49.
by gsteph22 17y ago
It's true that LogSearch is similar, but we focus on cloud, analytics, ease-of-use and scalability -- each of which we'ce heard Splunk lacks.
50.
Logging: Unsexy, Important, and now Usable.(roadtofailure.com)
24 points by gsteph22 17y ago|28 comments
51.
The Agony of Hadoop / Clojure Logging (and how to fix it)(measuringmeasures.blogspot.com)
33 points by gsteph22 17y ago|0 comments
52.
by gsteph22 17y ago
Flightcaster does some fantastic, innovative stuff in the statistical, distributed computing, and Clojure worlds.
53.
by gsteph22 17y ago
Fully scalable, faceted, bolt-on search :)
54.
by gsteph22 17y ago
We're good. We just want to be "more good". Bootstrapping cash.
55.
by gsteph22 17y ago
I'm the guy who quit with OP. In fact, his lead engineer (on paper). There's an interesting dynamic when two people quit at the same time. Game theory time! We do have a fair amount of leverage when it comes to negotiating severance pay, du
56.
by gsteph22 17y ago
This is actually quite salient advice. There's so many blogs that just say, "OMG do it!". You need to be rational and have a plan.
57.
HBase vs. Cassandra: Distributed Database Battle(roadtofailure.com)
9 points by gsteph22 17y ago|2 comments
58.
by gsteph22 17y ago
Hey there! I'm one of the guys building the scalable, bolt-on search. Thanks for the mention :D
59.
by gsteph22 17y ago
The fact that our government is moving towards Open Source to power not only the "Smart Grid", but the lifeblood of our country, is huge. It took some ballsy, persistent work to get this done.
60.
How To Make Life Suck Less (While Making Scalable Systems)(roadtofailure.com)
3 points by gsteph22 17y ago|0 comments

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