Replace rate_limits hash with static labkit Limiter objects
# Replace `rate_limits` hash with static labkit Limiter objects
Once the feature flags are removed (#28876) and the labkit path is
the only path, the `rate_limits` hash in `ApplicationRateLimiter`
becomes redundant. This issue replaces it with labkit `Limiter`
objects as the single source of truth.
Parent epic: https://gitlab.com/groups/gitlab-com/gl-infra/-/work_items/2021
Prerequisite: https://gitlab.com/gitlab-com/gl-infra/production-engineering/-/work_items/28876 (feature flag cleanup)
Related: https://gitlab.com/gitlab-com/gl-infra/production-engineering/-/work_items/28853 (configuration evolution)
## Problem
The Stage 2a adapter currently builds a new `Limiter` and `Rule` on
every rate limit check, resolving `threshold(key)` and `interval(key)`
from the `rate_limits` hash each time:
```ruby
def run!(key, scope:)
spec = SUPPORTED_RATE_LIMITS.fetch(key)
rule = build_rule(key, spec)
limiter = Labkit::RateLimit::Limiter.new(name: ..., rules: [rule])
result = limiter.check(identifier_for(rule, scope))
end
def build_rule(key, spec)
Labkit::RateLimit::Rule.new(
limit: ApplicationRateLimiter.threshold(key), # resolves from hash
period: ApplicationRateLimiter.interval(key), # resolves from hash
...
)
end
```
The `rate_limits` hash is only used internally by
`ApplicationRateLimiter` for:
1. **Validation** — `raise InvalidKeyError unless rate_limits[key]`
2. **Looking up threshold/interval** — `rate_limits[key][:threshold]`
Callsites never access the hash directly. They only call
`ApplicationRateLimiter.throttled?(:key, scope: ...)`.
## Proposed fix
Replace both the `rate_limits` hash and `SUPPORTED_RATE_LIMITS` with
a single `LIMITERS` hash that defines each rate limit as a labkit
`Limiter` object. Each limit is defined manually — static values
stay static, database-backed values use callables:
```ruby
LIMITERS = {
pipelines_create: Labkit::RateLimit::Limiter.new(
name: "applimiter_pipelines_create",
rules: [
Labkit::RateLimit::Rule.new(
name: "limit_pipelines_by_project_user_sha",
characteristics: %i[project_id user_id sha],
limit: -> { ApplicationSetting.current.pipeline_limit_per_project_user_sha },
period: 1.minute,
action: :block
)
]
),
user_sign_in: Labkit::RateLimit::Limiter.new(
name: "applimiter_user_sign_in",
rules: [
Labkit::RateLimit::Rule.new(
name: "limit_signins_by_user",
characteristics: %i[user_id],
limit: 5,
period: 10.minutes,
action: :block
)
]
),
notes_create: Labkit::RateLimit::Limiter.new(
name: "applimiter_notes_create",
rules: [
Labkit::RateLimit::Rule.new(
name: "limit_notes_by_user",
characteristics: %i[user_id],
limit: -> { ApplicationSetting.current.notes_create_limit },
period: 1.minute,
action: :block
)
]
),
# ... each of the ~100 rate limits defined explicitly
}.freeze
```
Each entry carries everything: the limiter name, rule name,
characteristics, limit (static integer or callable), period (static
or callable), and action. No indirection through a separate hash,
no `threshold(key)` / `interval(key)` lookup methods.
`ApplicationRateLimiter.throttled?` becomes:
```ruby
def throttled?(key, scope:, ...)
limiter = LIMITERS.fetch(key) { raise InvalidKeyError, key }
result = limiter.check(build_identifier(key, scope))
result.action == :block
end
```
## What gets removed
- `rate_limits` hash (the ~100-entry frozen hash with Procs)
- `SUPPORTED_RATE_LIMITS` hash (the adapter's per-key spec)
- `threshold(key)` and `interval(key)` methods
- `rate_limit_value(value)` and `rate_limit_value_by_key(key, setting)`
- `build_rule` and per-request `Limiter.new` / `Rule.new` construction
- The legacy `IncrementPerAction` / `IncrementPerActionedResource` /
`IncrementResourceUsagePerAction` strategy classes (once all cohorts
are migrated)
## What stays unchanged
- `ApplicationRateLimiter.throttled?` public interface — callsites
keep calling `.throttled?(:key, scope: ...)`
- Admin API/UI — reads/writes `ApplicationSettings` directly, does
not go through the `rate_limits` hash
- Database-backed settings — callables on the labkit `Rule` resolve
from `ApplicationSettings` at check time, same as the Procs in the
current hash
## Benefits
- No per-request object allocation for Limiter, Evaluator, or Rule
- Evaluator is cached inside Limiter and reused across checks
- Single source of truth for rate limit definitions (labkit rules)
- Natural stepping stone to #28853 Phase 3 (static YAML config
replaces the callables)
## Sequencing
This must happen **after** the feature flag cleanup (#28876):
1. **#28876** — Remove feature flags, make labkit the only path.
The `rate_limits` hash and legacy strategy classes are still
present but only used by the labkit adapter indirectly.
2. **This issue** — Replace per-request construction with static
Limiter objects, remove the `rate_limits` hash and legacy
strategies. The labkit rule definitions become the source of
truth. We should also feature flag this.
These are separate MRs because:
- Flag removal is mechanical and low-risk
- Hash removal is a deeper refactor that changes the source of
truth and needs careful validation
## Note on callables and future configuration
The callables in the static `Rule` objects read from
`ApplicationSettings`, preserving backwards compatibility for
self-managed. When we move to static YAML-based configuration
(#28853 Phase 3), the callables are replaced with static values
loaded from config files. The static `Limiter` pattern established
here carries over directly — only the rule source changes.
issue
GitLab AI Context
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Repository: https://gitlab.com/gitlab-com/gl-infra/production-engineering
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