We recently crossed this bridge and here are some insights. We did an extensive study comparing costs and benchmarking local vs EMR for our current needs and future trend.
- Scalability you get with EMR is unmatched although you need to look at your requirement and decide this is something you need. - When using EMR its cheaper to use reserved instances vs nodes on the fly. You can always add more nodes when required. I suggest looking at your current computing needs and reserve instances for a year or two and use these to run EMR and add nodes at peak needs. In your cost estimation you will need to factor in the data transfer time/costs unless you are dealing with public datasets on S3 - EMR fared similar to local cluster on CPU benchmarks (we used MRBench to benchmark map/reduce) however IO benchmarks were slow on EMR (used DFSIO benchmark). For IO intensive jobs you will need to add more nodes to compensate this. - When compared to local cluster, you will need to factor the time it takes for the EMR cluster to setup when starting a job. This like data transfer time, cluster replication time etc - EMR API is very flexible however you will need to build a custom interface on top of it to suit your job management and monitoring needs - EMR bootstrap actions can satisfy most of your native lib needs so no drawbacks there. -- Sudhir On 12/26/10 5:26 AM, "common-user-digest-h...@hadoop.apache.org" <common-user-digest-h...@hadoop.apache.org> wrote: > From: Otis Gospodnetic <otis_gospodne...@yahoo.com> > Date: Fri, 24 Dec 2010 04:41:46 -0800 (PST) > To: <common-user@hadoop.apache.org> > Subject: Re: Hadoop/Elastic MR on AWS > > Hello Amandeep, > > > > ----- Original Message ---- >> From: Amandeep Khurana <ama...@gmail.com> >> To: common-user@hadoop.apache.org >> Sent: Fri, December 10, 2010 1:14:45 AM >> Subject: Re: Hadoop/Elastic MR on AWS >> >> Mark, >> >> Using EMR makes it very easy to start a cluster and add/reduce capacity as >> and when required. There are certain optimizations that make EMR an >> attractive choice as compared to building your own cluster out. Using EMR > > > Could you please point out what optimizations you are referring to? > > Thanks, > Otis > ---- > Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch - Hadoop - HBase > Hadoop ecosystem search :: http://search-hadoop.com/ > >> also ensures you are using a production quality, stable system backed by the >> EMR engineers. You can always use bootstrap actions to put your own tweaked >> version of Hadoop in there if you want to do that. >> >> Also, you don't have to tear down your cluster after every job. You can set >> the alive option when you start your cluster and it will stay there even >> after your Hadoop job completes. >> >> If you face any issues with EMR, send me a mail offline and I'll be happy to >> help. >> >> -Amandeep >> >> >> On Thu, Dec 9, 2010 at 9:47 PM, Mark <static.void....@gmail.com> wrote: >> >>> Does anyone have any thoughts/experiences on running Hadoop in AWS? What >>> are some pros/cons? >>> >>> Are there any good AMI's out there for this? >>> >>> Thanks for any advice. >>> >> iCrossing Privileged and Confidential Information This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information of iCrossing. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.
