News.com – IBM grabs largest enterprise cloud deployment; Panasonic migrates from Exchange to Lotus Live cloud services

January 14th, 2010

According to CNET’s News.com website, IBM is expected to announce thursday at major win at Panasonic, replacing 100,000 seats of Exchange accounts which have been migrated to Lotus Live cloud solution:

This is significant not just for the scale but also because a large, conservative company like Panasonic is moving full-on into the cloud. It’s also important because this deployment replaces Microsoft Exchange and furthers IBM’s leadership role in enterprise-targeted cloud services.

Also impressive are the number of Lotus Live accounts in production:

Poulley told me that Panasonic looked at a number of ways to address its needs, but that ultimately the IBM reputation as a trusted enterprise partner played a big part in the deal. And with 18 million LotusLive accounts already active, IBM can prove that its services are ready for prime time.

Link: News.com – IBM grabs largest enterprise cloud deployment

links for 2009-11-06

November 6th, 2009

links for 2009-11-06

November 6th, 2009

DAOS Estimator 1.5 – Performance Improvement and Best Practices

November 6th, 2009

IBM has just released the DAOS Estimator version 1.5 for public download.  I had been testing this new version internally during it’s “beta” and all I can say is that it improves VASTLY the performance.  I had run this on a very large mail server, with around 3.500 mail files (~900GB of data).

As a recommendation for analyzing large mail servers, I would recommend the following:

  1. Make use of your cluster servers – running DAOS Estimator on your cluster servers will save your primary servers from a performance hit if you’re running on a “hot standby” mode.
  2. Run one DAOS Estimator task per mail directory – this allows processing to happen in more than one maildir at a time
  3. Run daosest -c to output attachment data to a .csv file to be analyzed later – this allows you to run daosest faster on your servers
  4. Upgrade to DAOS Estimator 1.5 – processing will improve VASTLY!

So I ran with the following settings:

On the server:

  1. Run one daoest -c task per mail directory.  I ran 10 simultaneous daosest tasks for mail1-10, processing was roughly around 2 hours for all 3,500 mail files.  This was done on the cluster side, with off-prime shift hours.
  2. Generate an .ind file containing all the DAOSEST*.CSV files generated from your daosest -c command on the server.
  3. To analyze the output from DAOSEST -C, run daosest -a INPUT_FILE.IND -o OUTPUT_LOG.txt, where the daosest anlyzes (-a) the “INPUT_FILE.IND” (which is the ind file you generated with the different .CSV files), and then outputs (-0) the analysis to a log file for you to review later.

On the initial run with version 1.4, this was taking in excess of 7 hours on some servers. After testing with version 1.5, the processing time reduced to 6 MINUTES!

Save yourself the hassle and upgrade to DAOS Estimator 1.5 immediately! :-)

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November 6th, 2009