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authorGitLab Bot <gitlab-bot@gitlab.com>2023-02-08 03:10:42 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2023-02-08 03:10:42 +0300
commit9f1ce98c1d456b962fc43ec99180e042592fa307 (patch)
tree9083abfee167f7d31738571b0d29ecd2d8b12820 /doc/development/service_ping/implement.md
parent919e3e3cd83e76dba137ef9bcc4746214c2085ff (diff)
Add latest changes from gitlab-org/gitlab@master
Diffstat (limited to 'doc/development/service_ping/implement.md')
-rw-r--r--doc/development/service_ping/implement.md5
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diff --git a/doc/development/service_ping/implement.md b/doc/development/service_ping/implement.md
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--- a/doc/development/service_ping/implement.md
+++ b/doc/development/service_ping/implement.md
@@ -356,8 +356,6 @@ Implemented using Redis methods [PFADD](https://redis.io/commands/pfadd/) and [P
`{users}_creating_epics-2020-34`. If `redis_slot` is not defined the Redis key will
be `{users_creating_epics}-2020-34`.
Recommended slots to use are: `users`, `projects`. This is the value we count.
- - `expiry`: expiry time in days. Default: 29 days for daily aggregation and 6 weeks for weekly
- aggregation.
- `aggregation`: may be set to a `:daily` or `:weekly` key. Defines how counting data is stored in Redis.
Aggregation on a `daily` basis does not pull more fine grained data.
- `feature_flag`: if no feature flag is set then the tracking is enabled. One feature flag can be used for multiple events. For details, see our [GitLab internal Feature flags](../feature_flags/index.md) documentation. The feature flags are owned by the group adding the event tracking.
@@ -498,9 +496,6 @@ Next, get the unique events for the current week.
We have the following recommendations for [adding new events](#add-new-events):
- Event aggregation: weekly.
-- Key expiry time:
- - Daily: 29 days.
- - Weekly: 42 days.
- When adding new metrics, use a [feature flag](../../operations/feature_flags.md) to control the impact.
- For feature flags triggered by another service, set `default_enabled: false`,
- Events can be triggered using the `UsageData` API, which helps when there are > 10 events per change