DevOps / SRE / Platform · 20.08.2026, 19:31 UTC
Run agentic software delivery inside the boundaries you already trust
| Schweregrad | info |
|---|---|
| Kategorie | DevOps / SRE / Platform |
| Quelle | GitLab Blog ↗ |
| Veröffentlicht | 20.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Many enterprises choose GitLab Dedicated for a clear reason: a single-tenant instance, managed by GitLab, in a cloud region they select. That isolation already covers source code, project data, and the software development lifecycle they run on GitLab.GitLab Dedicated customers can now deploy the AI Gateway for the GitLab Duo Agent Platform inside their single-tenant SaaS infrastructure, so AI-processed data stays in their environment and chosen region.GitLab Dedicated as the critical infrastructure for software deliveryGitLab Dedicated is deployed in your preferred AWS region, and hosted and maintained by GitLab. You can bring your own encryption keys. No private cloud installation required.GitLab operates the instance, including high availability and disaster recovery, and maintains 99.9% monthly availability for core services. Updates to GitLab Dedicated follow a stability-first cadence, with instances on the previous minor version (N-1) relative to the current GitLab release.That is the infrastructure organizations already trust when they scale software delivery under audit: guardrails you can take to a regulator, SaaS operations you do not staff, and an availability target that holds when the platform is in the critical path.Trust should travel with every agentAgentic workflows demand more from your software development lifecycle beyond the AI coding: increased pipeline volume, greater risk for vulnerabilities introduced, context that needs to travel with every agent and flow, among others.The isolation, residency, and service-level requirements that already apply to …