RE: OT NT2K vs Unix.

We aren't doing any db work on the Linux platform YET, but we do run one of our mission critical apps on Red Hat. We have an app that dials every hotel that we are installed in every night to bring back our movie/game/service buys and the navigation summary stats from them. This process was running on FreeBSD until about a year ago when we upgraded the hardware and moved it to Linux. Runs without a hitch. I think we rebooted the box once during the year because of a flaky power supply. We also run our web based system monitoring stuff on Red Hat on a Gateway 200Mhz desktop box we scrounged out of the trash (no capital for behind the scenes things like this). It also runs like a champ. Reboots what are those? Linux ROCKS! About half of the DBA/SA's in our group are running it as their desktop and using VMWare for the Windows stuff that we have to run because of Corp Directives - MS Exchange :( Don't be afraid to go with it.

Rodd Holman

-----Original Message-----
Sent: Friday, February 02, 2001 3:53 PM
To: Multiple recipients of list ORACLE-L

I'll be interested to see the replies on this one. We've just embarked on a

new project that will be using Oracle 8.1.7 on RedHat Linux. Also using Oracle 9i AS (with Java stuff) on Linux as well. Production is slated for July timeframe. It is for a scheduling system that is at the heart of a medium-sized business. This is our first foray with Linux for a critical system. We do have a small web-based survey system that has been running for
a year on RedHat Linux with Oracle (just upgraded to 8.1.7) and it's working

very nicely.

Marc Perkowitz
MTP Systems Consulting

In a message dated 2/2/2001 2:45:53 PM Central Standard Time, dgoulet_at_vicr.com writes:

<< But, if you all let me return this thread back to a real discussion. How

many
 of you out there are using Linux, particularly RedHat, in a production  environment preferably with Oracle? The boss(s) around here are looking for
a
 more "cost efficient" (read that as $0.00) operating system for some of our

DB
 stuff. We may even decide on a more "cost efficient" (same translation) rdbms,
 otherwise known as PostGreSQL.  

 Dick Goulet
>>

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