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new.png Tuning databases - general

Authors: DanToczala
Build basis: CLM2012, CLM 2011

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General Guidance

The database server is the portion of most Jazz solutions that is often out of the control of most solution architects and Jazz administrators. Often the choice of database vendor will be a corporate directive, and you will be told the database technology that you will be using. If you decide to support your own database, you can choose the database technology that you want. Keep in mind that Jazz licenses also carry an entitlement for the use of DB2 Workgroup edition as part of the Jazz licensing agreement.

There are some general things that you can do to help improve the performance of your Jazz solution. These suggestions are valid for all of the database technologies that support Jazz.

  • Make sure that your database has sufficient physical memory and enough allocated memory to perform a lot of data transfers. All of the REST based objects will need to be stored and retrieved here, and the rest of the solution architecture depends on the repository. Don’t try to cut costs, make sure that the foundation for your solution is solid.
  • Your database should be on a dedicated server. While it is technically possible to install the database software onto the same machine as other software, the load on the database is heavy (since almost every user action implies multiple database events, like queries, inserts, or modifications). Deploy the database on a dedicated database server.
  • The storage device for the database is also important. The database storage should be fast storage. The server should have many fast disks combined in a RAID configuration for optimal performance and reliability. See the jazz.net article Tuning the Rational Team Concert 3.0 Server for further details.
  • Monitor the performance of your database. Do not go overboard with monitoring, since excessive monitoring can lead to performance degradation of the database software. Monitor the amount of data (inbound and outbound), the number of queries over time, and some measure of the amount of time from the receipt of a SQL request to the time a response is generated.

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