Tip: It is recommended to upgrade BigFix Inventoryįrequently to make the new features and security fixes available. Version for direct upgrade path is increased with every release. Provided for direct upgrade from the last 8 server releases. Starting from 10.0.10.0 release, to ensure smooth upgrade process, support is Software Data Harvesting Tool for BigFix Inventory Published site version Name of componentīigFix Inventory Software Catalog (main version)īigFix Inventory Software Catalog (version on endpoint)īigFix Inventory Server: ILMT Core libraryīigFix Inventory Disconnected Scanner (incl. Single sign on with Atlassian CrowdFrom version 2.8.x, Fisheye bundles the Crowd 2.4.1 client library, and supports the Crowd 2.4.x server, and later versions.Table 1. It cannot be deployed to web application servers such as WebSphere, Weblogic or Tomcat. WAR deploymentįisheye/Crucible is a standalone Java program. Let us know what SCM system you would like to see supported by creating a Jira issue or adding your vote to an issue, if the request already exists. Support for other version control systems is planned for future releases. It does not support protocols such as pserver at the moment. If you are using CVS, Fisheye needs read-access to your CVS repository via the file system. Due to some problems with earlier versions of the client, we recommend version 2007.3 or later. Please see Subversion Client Setup for more information.įisheye needs access to the p4 client executable. An alternative is to use the native subversion client, using JavaHL bindings. Note that NFS and SAN are not supported.įisheye can communicate with any repository running Subversion 1.1 or later.įisheye now bundles the SVNkit client, which becomes the default Subversion interface. You definitely want a fast local HDD for Fisheye's cache. The most important aspect for a large-repository deployment will be I/O speed. Hardware requirementsįisheye should ideally run on a dedicated server. We do not provide support for Docker itself or problems with any Docker environment. We support the Atlassian Docker templates and can help with FishEye related problems. You can use official images to deploy FishEye in a Docker container, or customize a Docker deployment on your own. If you are using a version of Jira earlier than Jira 6.4 you can upgrade the plugin in Jira to get support for Fisheye. Note that the Jira Fisheye Plugin is bundled with Jira. Communication the other way, from Jira to Fisheye, depends on the Jira Fisheye Plugin. Read more about it in:įisheye to Jira communication requires Jira 6.4.x or later. Mercurial on Windows does not provide support for non-ASCII characters in file names and paths. SQL Server 2019 is supported since Fisheye 4.8.5. Oracle 19c is supported since Fisheye 4.8.5. PostgreSQL 13&14 are supported since Fisheye 4.8.9. PostgreSQL 12 is supported since Fisheye 4.8.5. See the Fisheye Database documentation for further details. We recommend that you do not use HSQLDB for production systems.Įxternal databases (such as MySQL) are generally more resistant to data loss during a system crash. The Fisheye built-in database, running HSQLDB, is somewhat susceptible to data loss during system crashes. If you do choose to run Fisheye in a VM, please ensure that you choose a VM with good IO throughput. Although Fisheye can be run in virtualized environments, Atlassian is not yet able to provide technical support for performance-related problems in a virtualized environment.
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