Here's what it takes to install and run TeamForge.
Small | Medium | Large | X-Large | |
---|---|---|---|---|
Users | 100 | 500 | 1000-5000 | 10000+ |
CPU | Octa-core | 12-core | > 12-core | > 16-core |
RAM | 16GB | 24GB | 32GB | 32GB |
JVM Heap Size | 1.5GB | 3GB | 6GB | > 8GB |
200 GB (or more) hard drive * |
Small | Medium | Large | X-Large | |
---|---|---|---|---|
Artifacts | 15000 | 70000 | 100000 | 100000 |
Flex Fields | 25 | 50 | 100 | 100 |
Projects | 20 | 80 | 500 | 500 |
Integrations | 0-1 | 0-2 | 0-2 | 0-2 |
Integrated Applications | 0-2 | 0-3 | 3+ | 3+ |
Operating system | RHEL 6.8 or 7.2 1 (64 bit) | CentOS 6.8 or 7.2 (64 bit) |
Browser | Google Chrome 49 |
Mozilla Firefox 45 | |
Microsoft IE 10 and 11 | |
Safari 6.0.5 (8536.30.1). | |
TeamForge user interfaces are best viewed at screen resolution of at least 1280 x 800 (or more) pixels. | |
Database | PostgreSQL 9.3.12 is installed by default when you install TeamForge 16.7. However, you can use Oracle if you want to. See PostgreSQL or Oracle for more information. |
Oracle Server 12c | |
Oracle Client 12c | |
Yum package manager | 3.2.29 or earlier versions |
TeamForge 16.7 supports the following software versions for integration | |
Nexus | 2.9.0 or later |
Artifactory Pro | 4.7 or later |
Jira | 6.3-7.1 |
TestLink | 1.9.15 and later |
The following Microsoft applications have been tested with TeamForge:
PostgreSQL 9.3.12 is installed automatically when you install TeamForge 16.7. If you intend to use Oracle, CollabNet recommends that you let the installer run its course, make sure things work normally, and then set up your Oracle database and switch over to it.
The efficiency of your database can have an impact on your users' perception of the site's usability. If your site uses a PostgreSQL database (which is the default), you may want to consider tuning it to fit your specific circumstances. The default settings are intended for a small-to-medium site running on a single server. See What are the right PostgreSQL settings for my site? for recommendations from CollabNet's performance team on optimizing PostgreSQL for different conditions.