olidb2

6 ms·

1.
by olidb2 11y ago
Shameless plug here - The author of the article does build time-series databases for a living, and more specifically the Datadog monitoring platform - which will gladly collect your millions of metrics, graph them and alert on them, along w
2.
by olidb2 11y ago
OP works on the time-series processing backend at Datadog http://datadog.com
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by olidb2 11y ago
Datadog - New York City We're hiring engineers that specialize in one of the following: + Data visualization in the browser + Go and distributed systems + System programming and low-level performance optimization + Data Enginee
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by olidb2 12y ago
I live across of it, and I have to say it has the grace you'd expect of a 60's housing project in the eastern bloc. The rendering is quite flattering.
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by olidb2 12y ago
I work at Datadog - we're only using ElasticSearch for full-text structured events, not time-series, which represent 10,000 - 100,000 times more data in volume. We had to build our own Time-Series streaming / storage / query
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A love letter to Go's io.Reader(datadoghq.com)
6 points by olidb2 12y ago|0 comments
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by olidb2 12y ago
We don't use the recommendation engine but the underlying platform, which makes it really simple to write and run pig jobs. Though the majority of our business deals with real-time data processing, the ability to crunch numbers in batc
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by olidb2 12y ago
FWIW we've been using the mortar platform to run large pig jobs without a fuss at http://datadog.com and we've been very happy with it. Glad to see them contribute their recommender code too.
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by olidb2 13y ago
Datadog - see http://datadog.com We're looking for engineers passionate about either * Data visualization using D3 * Large-scale real-time data processing in Go, Python and C * UX/UI Design and development *
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by olidb2 13y ago
Pretty sure Datadog out-purples y'all http://datadog.com
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by olidb2 13y ago
We do, but it only makes sense for very large deployments. Happy to discuss - oli@ our domain.
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ScreenBoards: Dashboards to tell a story with your live data(datadoghq.com)
10 points by olidb2 13y ago|2 comments
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by olidb2 13y ago
New York - Datadog http://datadog.com We're a growing, well-funded startup. And we're hiring engineers for all positions from back-end to ops to data visualization. Think tens of billions of data points a day to stream, store, visualize a
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High-performance data structures for Python(kmike.ru)
9 points by olidb2 14y ago|0 comments
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by olidb2 14y ago
Hey Nick - come and visit us at Datadog http://datadoghq.com We're on 26th and Broadway, next to a great many other startups. I'm oli@
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by olidb2 14y ago
Datadog hearts PagerDuty. We use it every day. And sometimes nights too... And here's its awesome API in action in Datadog - http://www.datadoghq.com/2012/07/pagerduty/
17.
by olidb2 14y ago
Nope - all the data stays there, and can be shown on dashboards. We just don't show the hosts that don't submit data in the host lists, and don't count them towards the total number of hosts charged for. Does that answer your question?
18.
by olidb2 14y ago
Pup will graph all the metrics Datadog does - it already collects OS metrics, and comes with a set of plug-ins for connecting to common apps, and it wouldn't be very difficult to connect collectd to it. Pup's feature-set is limited today, t
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by olidb2 14y ago
They'll disappear automatically when you stop sending data about them (within a few hours) - we've done that for our customers who have elastic / rolling servers on AWS for ex. If that doesn't cut if for you, we're happy to help - let us kn
20.
by olidb2 14y ago
Got it. Tags can be of the name:value kind. for ex: role:db or availability-zone:us-east-a1 or foo:bar And you can then ask for "my.metric" summed over "availability-zone:us-east-1a" grouped by "role". Here's a screenshot to show what it lo
21.
by olidb2 14y ago
otterley - Don't walk away yet... we do support arbitrary dimensions! You can attach any arbitrary set of tags to metrics or events - on a per-datapoint basis, and slice / dice / alert based on those tags. Datadog will automatically tag y
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by olidb2 14y ago
I should add that Team @datadoghq is on IRC in #datadog on irc.freenode.net Don't be shy if you have questions when running pup.
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by olidb2 14y ago
We designed pup to be first and foremost accessible to developers, but it will work just the same on production systems. Once you get addicted to metrics and want more aggregation / graphing / alerting / analysis capabilities, there's a num
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by olidb2 14y ago
otterley - for that, you can take a look at http://datadoghq.com . We do all of the above. Our service isn't free beyond 5 hosts, but is quite a bit cheaper than rolling and running your own or flying blind and facing the consquences. It's
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by olidb2 14y ago
Thanks katabatic - reducing friction was exactly what we were going for.
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by olidb2 14y ago
Nice work with Graphene, indeed.
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by olidb2 14y ago
In a nutshell, yes. You can also contribute some of the features you need to pup if you are so inclined. We're on a mission to provide monitoring that doesn't suck, and we believe that making it easy and rewarding to instrument your app is
28.
by olidb2 14y ago
I meant it as a shortest time from "I wish I could see my app metrics" to actually seeing them. In other words, ease of set-up, lack of knobs, having metrics appear automatically. By default, pup aggregates statsd data in 10s intervals, and
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by olidb2 14y ago
This was developed for Datadog, yes. But Pup works fully stand-alone and is completely open-source - so you can take whatever you want / need from it. Pup has a narrower scope than Graphite (which we also use and love), but optimizes for sh
30.
by olidb2 14y ago
So: - It doesn't need to run on the same server as the application, and you can have any number of apps reporting to it. The only limitation here is that apps communicate with Pup in UDP. - Our goal with pup was to make it super-easy to see

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