tag:blogger.com,1999:blog-8898949683610477251.post7098839651234570081..comments2010-03-09T16:26:51.381ZTom Whitehttp://www.blogger.com/profile/02418758537880869494noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-8898949683610477251.post-38052563542967460882010-04-03T20:23:23.834+01:002010-04-03T20:23:23.834+01:00At <a href="http://loggly.com" rel="nofollow">Loggly</a> we are building a cloud-based log management an analysis platform. You will not only be able to run large-scale processes (through map-reduce), but you can do much more based on our real-time indexing and data processing capabilities. In order to enable you to build your own use-cases around your log data, we provide an API that you can use to access all the data that you have Loggly manage for you. Would be curious to get your feedback!Raffyhttp://loggly.comnoreply@blogger.comtag:blogger.com,1999:blog-8898949683610477251.post-13109688346464133612010-03-09T16:26:51.381Z2010-03-09T16:26:51.381ZTom, what would be needed for an enterprise log management system using Hadoop? Can it source any log type including custom? Do I need to build the interfaces? Does Hadoop include a query reporting system? Otherwise, what are your recommendations for query/reporting?Tony Czarnikhttp://www.savidtech.comnoreply@blogger.comtag:blogger.com,1999:blog-8898949683610477251.post-33054382873618215142008-02-01T09:23:00.000Z2008-02-01T09:23:00.000ZShortly after I wrote this, <A HREF="http://highscalability.com/" REL="nofollow">High Scalability</A> covered the story with <A HREF="http://highscalability.com/how-rackspace-now-uses-mapreduce-and-hadoop-query-terabytes-data" REL="nofollow">extra details</A> from Mailtrust CTO <A HREF="http://billboebel.typepad.com/blog/" REL="nofollow">Bill Boebel</A>. Well worth a read.Tom Whitehttp://www.blogger.com/profile/02418758537880869494noreply@blogger.com