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openzipkin
zipkin
Java2012–2017
openzipkin / zipkin

zipkin

Zipkin is a distributed tracing system

9Distinct people
10Mentions
0Explicit recommenders
17.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Zipkin is a distributed tracing system

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year10 dated mentions

Observed mentions: 2012-06-07 04:40:08 UTC to 2017-07-28 19:36:44 UTC.

0123452012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC211
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC505
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101

What Hacker News says

10 sources
One of the projects I've been working on is doing more aggregate analysis of zipkin data: https://github.com/twitter/zipkin/pull/276 We're using this at Twitter to better understand usage patterns for services upstream and downstream. For example, Gizmoduck, the user store at twitter is backed by memcache, and some disk-based storage behind the cache. While we can view individual traces that hit by memcache, the aggregate info shows us both the proportion of traffic for services calling Gizmoduck, as well as the proportion of time Gizmoduck spends in memcache versus the backend store. Furthermore, it can be useful for notifying of unusual behavior. If a service's aggregate durations has changed since yesterday, perhaps that's something we want to look at. Or if the ratio of traffic from some upstream service doubles, that's interestin
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g to know.
In Twitter's Tool For Debugging At Scale
Here's a few more to add to your list (not all SaaS)... --ANALYTICS Snowplow (https://github.com/snowplow/snowplow) Segment.io (http://segment.io) --CRM Close.io (http://close.io), Streak (http://www.streak.com/) Base (http://getbase.com) --SALES ElasticSales (https://elasticsales.com/) --CUSTOMER SERVICE Metaverse Mod Squad (http://metaversemodsquad.com/) --DATA Factual (http://www.factual.com/) --DATABASE Titan (http://thinkaurelius.com/) Tinkerpop (http://www.tinkerpop.com/) Bulbs (http://bulbflow.com) Datomic (http://datomic.com) --LOG MONITORING Logstash (http://logstash.net) Lumberjack (https://github.com/jordansissel/lumberjack) Fluentd (http://fluentd.org), Flume (https://github.com/cloudera/flume) Kafka (http://sna-projects.com/kafka/) Scribe (https://github.com/facebook/scribe/) --ACCOUNTING/INVOICING Harvest (http://www.getharv
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est.com/) Ballpark (http://www.getballpark.com/) PaySimple (http://paysimple.com/) AcceptPay (http://acceptpay.com) FreshBooks (http://www.freshbooks.com/) FreeAgent (http://www.freeagent.com/) Blinksale (http://www.blinksale.com/) --PAYMENTS Balanced Payements (https://www.balancedpayments.com/) Dwolla (https://www.dwolla.com/) -- BANKING Simple (http://simple.com) --PHONE/PBX/SMS Plivo (http://plivo.com/) Tropo (https://www.tropo.com/) Twillo (http://www.twilio.com/) PhoneBooth (http://www.phonebooth.com/) -- PROJECT MANAGEMENT Orchestra (http://www.orchestra.com/) -- RECOMMENDATION SYSTEM Runa PerfectOffer (http://www.runa.com/products/perfectoffer/) --SYSTEM MONITORING Tracelytics (http://www.tracelytics.com) / AppNeta (http://www.appneta.com/) Riemann (http://riemann.io) Zipkin (https://github.com/twitter/zipkin/) Pulse (https://github.com/heroku/pulse/) --SEARCH Bonsai (http://www.bonsai.io) WebSolr (http://websolr.com/) Swiftype (https://swiftype.com/) Searchify (http://www.searchify.com/) CloudSearch (http://aws.amazon.com/cloudsearch/) SearchBlox (http://www.searchblox.com/) --SECURITY Burp (http://www.portswigger.net/burp/intruder.html) DuoSecurity (https://www.duosecurity.com/) Authy (https://www.authy.com/) CryptoSeal (http://cryptoseal.com/) AnchorFree (http://www.anchorfree.com/) Cloak (https://www.getcloak.com/) --SHIPPING Postmaster.io (https://www.postmaster.io/) Runa PerfectShipping (http://www.runa.com/products/perfectshipping/) -- SUPPORT / HELP DESK: Olark (http://olark.com) SnapEngage (http://www.snapengage.com/) --DESIGNERS Dribble (http://dribbble.com/) Sortfolio (http://sortfolio.com/) --NOTES Evernote (http://evernote.com)
In Ask HN: Tools of the trade, 2013 edition
We're hiring at Twitter (San Francisco, CA - H1B welcome). My team is working on monitoring and alerting for all of the different services at Twitter. Zipkin (https://github.com/twitter/zipkin/) is an example of the kinds of tools our team is building right now. The two central components are a dashboard/charting monitoring service as well as our own alerting system. Most of our infrastructure challenges stem from the sheer number of writes we need to deal with as well as the temporal nature of what we're doing - all of our writes need to happen within certain time periods and reads have to be consistent within certain time-frames to avoid engineers being woken up at 4am due to incorrect data from a dirty read. Given that we're the service which observes all the other critical components - our reliability requirements are also a huge chal
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lenge. The product challenge on this team is making sense of a whole lot of data. So there is a lot of cutting-edge data visualisation work. You have certain services running on thousands of nodes and teams want to use our product to quickly find outliers and scan their dashboards with key metrics. This means you have potentially thousands of timeseries with thousands of data points on the screen at the same time. This is a JavaScript gig where you get to think about algorithms and performance on a daily basis. We're also an internal tool, so we have the option of targeting cutting edge, modern browser features. In reality it means 90% of your time is working on cool stuff and not on getting IE to work. I think the biggest benefit of working on our product team is that you a level of autonomy which is hard to find on a user-facing product. So if you're the creative type who doesn't want to be micro-managed or told where to push those pixels, I think this is a really good gig. Right now we're looking for experienced engineers for both infrastructure and product. Our infrastructure is JVM-based and written in Scala, with some Python. Our product is written in JavaScript and we have some Ruby to deal with. Knowledge of these platforms is beneficial, but solid experience and passion for this problem domain is even better. A systems position: https://twitter.com/jobs/positions?jvi=ospeWfwL,Job A dataviz position: https://twitter.com/jobs/positions?jvi=og12VfwY,Job The dataviz position doesn't accurately reflect the open rec we have for my team, so don't worry if you don't match the skills exactly. I work on both infrastructure and product for the positions I described, so if you're interested you can send your resume to me directly at david @ dmclaughlin.com to speed up the process. Also - we're hiring across the board at Twitter so also take a look at all open positions here: https://twitter.com/jobs
In Ask HN: Who Is Hiring? (August 2012)

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