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author | GitLab Bot <gitlab-bot@gitlab.com> | 2022-04-20 13:00:54 +0300 |
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committer | GitLab Bot <gitlab-bot@gitlab.com> | 2022-04-20 13:00:54 +0300 |
commit | 3cccd102ba543e02725d247893729e5c73b38295 (patch) | |
tree | f36a04ec38517f5deaaacb5acc7d949688d1e187 /doc/development/snowplow/troubleshooting.md | |
parent | 205943281328046ef7b4528031b90fbda70c75ac (diff) |
Add latest changes from gitlab-org/gitlab@14-10-stable-eev14.10.0-rc42
Diffstat (limited to 'doc/development/snowplow/troubleshooting.md')
-rw-r--r-- | doc/development/snowplow/troubleshooting.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/development/snowplow/troubleshooting.md b/doc/development/snowplow/troubleshooting.md index 75c8b306a67..47d775d89aa 100644 --- a/doc/development/snowplow/troubleshooting.md +++ b/doc/development/snowplow/troubleshooting.md @@ -28,7 +28,7 @@ While on CloudWatch dashboard set time range to last 4 weeks, to get better pict Drop occurring at application layer can be symptom of some issue, but it might be also a result of normal application lifecycle, intended changes done to product intelligence or experiments tracking or even a result of a public holiday in some regions of the world with a larger user-base. To verify if there is an underlying problem to solve, you can check following things: -1. Check `about.gitlab.com` website traffic on [Google Analytics](https://analytics.google.com/) to verify if some public holiday might impact overall use of GitLab system +1. Check `about.gitlab.com` website traffic on [Google Analytics](https://analytics.google.com/analytics/web/) to verify if some public holiday might impact overall use of GitLab system 1. You may require to open an access request for Google Analytics access first eg: [access request internal issue](https://gitlab.com/gitlab-com/team-member-epics/access-requests/-/issues/1772) 1. Plot `select date(dvce_created_tstamp) , event , count(*) from legacy.snowplow_unnested_events_90 where dvce_created_tstamp > '2021-06-15' and dvce_created_tstamp < '2021-07-10' group by 1 , 2 order by 1 , 2` in SiSense to see what type of events was responsible for drop 1. Plot `select date(dvce_created_tstamp) ,se_category , count(*) from legacy.snowplow_unnested_events_90 where dvce_created_tstamp > '2021-06-15' and dvce_created_tstamp < '2021-07-31' and event = 'struct' group by 1 , 2 order by 1, 2` what events recorded the biggest drops in suspected category @@ -47,4 +47,4 @@ Already conducted investigations: ### Troubleshooting data warehouse layer -Reach out to [Data team](https://about.gitlab.com/handbook/business-technology/data-team) to ask about current state of data warehouse. On their handbook page there is a [section with contact details](https://about.gitlab.com/handbook/business-technology/data-team/#how-to-connect-with-us) +Reach out to [Data team](https://about.gitlab.com/handbook/business-technology/data-team/) to ask about current state of data warehouse. On their handbook page there is a [section with contact details](https://about.gitlab.com/handbook/business-technology/data-team/#how-to-connect-with-us) |