AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
探索 dotCMS,領先的無頭 CMS,為多站點管理而建。賦能您的團隊,提供彈性內容建模、全渠道交付與企業級可擴展性。
AI 翻譯
Discover dotCMS, the leading headless CMS built for multi-site management. Empower your teams with flexible content modeling, omnichannel delivery, and enterprise scalability.
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企業用的視覺無頭內容管理系統
AI 翻譯
The Visual Headless Content Management System for Enterprises
取自儲存庫 README
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dotCMS is the leading Universal content management system powering thousands of digital experiences for over 150 customers worldwide.
With powerful visual editing tools, multi-tenancy and a tech-agnostic architecture dotCMS empowers technical and content teams to collaborate efficiently and deliver content globally, on any stack, and at any scale.檢視完整 README ↗dotCMS is the leading Universal content management system powering thousands of digital experiences for over 150 customers worldwide.
With powerful visual editing tools, multi-tenancy and a tech-agnostic architecture dotCMS empowers technical and content teams to collaborate efficiently and deliver content globally, on any stack, and at any scale.
dotCMS is available as a docker image or as a cloud based product.
dotCMS is licensed under the terms of the BSL 1.1 license and all features are free to use by companies, individuals and organizations whose total finances are below $5,000,000 USD. For more information about the BSL license terms, see the dotCMS BSL FAQ.
For a complete list of requirements, see this page.
| Source | Location |
|---|---|
| Installation | Installation |
| Documentation | Documentation |
| Videos | Helpful Videos |
| Merge Queue | Merge Queue |
| Forums/Listserv | via Google Groups |
| @dotCMS | |
| Main Site | dotCMS.com |
dotCMS GA releases follow CalVer (YY.0M.0D-NN, e.g. 26.06.11-01). On top of that linear
release stream we publish three floating Docker tags — release tracks — so you can pick
how fresh a release each environment receives:
| Tag | Age of release | Use for |
|---|---|---|
dotcms/dotcms:latest | newest GA (~days) | tracking the latest release |
dotcms/dotcms:standard | ~2 weeks old | a short soak before adopting a release |
dotcms/dotcms:trailing | ~4 weeks old | the most conservative posture |
Pin the track you want in your deployment manifest, e.g. image: dotcms/dotcms:standard, and
you will roll forward automatically as releases age into that track. Pin an exact version
(dotcms/dotcms:26.06.11-01) instead if you never want automatic movement.
One engine (under .github/actions/core-cicd/evergreen-tracks/) re-points every track tag
by image digest, on two triggers: the release pipeline moves latest on-demand the moment a GA
ships, and a daily scheduled job ages standard/trailing forward. Two design choices are worth
understanding:
standard/trailing tracks ahead of releases that are genuinely older. Anchoring to the
embedded CalVer date keeps every release in its true place on the timeline.latest down to standard/trailing. A track
can also be held (frozen) at a specific version for incident response. Both controls live
as marker tags in the registry; there is no separate datastore.GitOps / Argo note: because these tags float (the same tag is re-pointed to newer digests over time), a tag reference alone will not trigger a redeploy. Use Argo CD Image Updater or a periodic rollout refresh to pick up track movements.
The promotion engine and its scheduled/admin workflows live under
.github/actions/core-cicd/evergreen-tracks/.