We at Imageshack use Hbase to store all of our images, currently at ~2bl
rows with about 350+ TB.
Jack
On Friday, December 5, 2014, iain wright iainw...@gmail.com wrote:
Hi Jeremy,
pinterest is using it for their feeds:
http://www.slideshare.net/cloudera/case-studies-session-3a
For expected latency, read this:
http://hadoop-hbase.blogspot.com/2014/08/hbase-client-response-times.htmlFor
cluster/machine sizing this might be helpful:
http://hadoop-hbase.blogspot.com/2013/01/hbase-region-server-memory-sizing.html
Disclaimer: I wrote these two posts.
-- Lars
From:
At HubSpot we have 5 customer facing production clusters 30-60TB+ each. Our
Data Ops team has ranged from 2-3 (including me), but we support much more
than just hbase. We have an in-house built nightly backup system and
persist all HLogs on an ongoing basis, so in 2-3 hours we can recover to
Lithium (Klout) powers www.klout.com with HBase. The operations team is 2
full time engineers + the manager (who also does hands on operations work
with the team). This operations team is responsible for the entirety of our
Hadoop stack including the HBase clusters. We have one 165 node Hive
Hey all,
So, I'm currently evaluating HBase as a solution for querying a very large
data set (think 60+ TB). We'd like to use it to directly power a
customer-facing product. My question is threefold :
1) What companies use HBase to serve a customer-facing product? I'm not
interested in
Hi Jeremy!
We'll probably need more information to answer your questions.
In particular, what kind of read or write SLA are you looking to meet? At
what scale of concurrent users? What size of retrievals?
Normally, customer facing application means something in the human
interactive time scale,
Please see the following:
Facebook messages:
https://www.facebook.com/notes/facebook-engineering/the-underlying-technology-of-messages/454991608919
https://www.facebook.com/UsingHbase
https://www.facebook.com/download/499785426741400/Storage%20Infrastructure%20Behind%20Facebook%20Messages%20.pdf
The folks from Gap have a really nice use case:
http://www.slideshare.net/cloudera/1-serving-apparel-catalog-from-h-base-suraj-varma-gap-inc-finalupdated-last-minute
--
Cloudera, Inc.
On Fri, Dec 5, 2014 at 2:01 PM, Ted Yu yuzhih...@gmail.com wrote:
Please see the following:
Facebook
Hi Jeremy,
pinterest is using it for their feeds:
http://www.slideshare.net/cloudera/case-studies-session-3a
http://www.slideshare.net/cloudera/operations-session-1
Not sure on their dataset size, they are doing cluster level replication
for DR. We based our architecture on their success
