GitLab.com is implementing a new rate limiting system that ties usage limits directly to a user's subscription plan. This means Free, Premium, and Ultimate subscription tiers will each have distinct rate limits. These limits will be applied per user and per top-level group.
The new rate limits will roll out in phases. On October 19, 2026, the updated limits will apply to Free accounts and all unauthenticated requests. Users with Premium and Ultimate subscriptions will see their new limits take effect in January 2027.
Unauthenticated requests, those made without user credentials, will be capped at 60 requests per hour per IP address. This limit applies regardless of the origin of the request, including automation running against paid accounts if credentials are not provided. Authenticated requests will be governed by the user's specific subscription plan.
Before the official October 19 rollout, GitLab will conduct two preview windows for Free and unauthenticated traffic. These 'brownouts' are scheduled for October 7 and October 14, 2026, from 15:00 to 19:00 UTC. During these periods, the new limits will be temporarily active to allow users to observe how their workloads perform under the updated conditions. Premium and Ultimate users will not be affected during these previews.
GitLab states that these changes are necessary to maintain platform speed and reliability as demand and platform load increase. The new limits were determined by analyzing current GitLab.com usage patterns and comparing them to industry norms. The company anticipates that most users will not experience any change, as their current usage falls within the new limits. Premium and Ultimate tiers are designed to offer more generous limits compared to industry standards.
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GitLab.com is updating its rate limits to align with user subscription tiers, effective October 19, 2026, for Free accounts and unauthenticated requests, and January 2027 for Premium and Ultimate tiers. This change aims to maintain platform performance under increasing demand by providing predictable limits based on usage and subscription level.