Using Sentry, while useful, poses two problems you have to choose from:

1. All errors are reported separately, making it easy to create issues
   but also making it next to impossible to see other errors (due to the
   sheer volume of threshold errors).

2. Errors can be grouped or merged together, reducing the noise. This
   however also means it's (as far as I can tell) much harder to
   automatically create GitLab issues from Sentry for the offending
   controllers.

Since both solutions are terrible I decided to go with a third option:
not using Sentry for this at all. Instead we'll investigate using
Prometheus alerts and Grafana dashboards for this, which has the added
benefit of being able to more accurately measure the behaviour over
time.

Note that throwing errors in test environments is still enabled, and
whitelisting is still necessary to prevent that from happening (and that
in turn still requires that developers create issues).

Signed-off-by: Rémy Coutable <remy@rymai.me>

This ensures that we have more visibility in the number of SQL queries
that are executed in web requests. The current threshold is hardcoded to
100 as we will rarely (maybe once or twice) change it.

In production and development we use Sentry if enabled, in the test
environment we raise an error. This feature is also only enabled in
production/staging when running on GitLab.com as it's not very useful to
other users.

Signed-off-by: Rémy Coutable <remy@rymai.me>

Add note within ux documentation that further changes should be made within the design.gitlab project

Remove duplicate list item in "General Guidelines" Section.

In a previous attempt (rolled back in
https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/16021) we tried
to migrate `issues.closed_at` from timestamp to timestamptz using a
regular migration. This has a bad impact on GitLab.com and as such was
rolled back.

This commit re-implements the original migrations using generic
background migrations, allowing us to still migrate the data in a single
release but without a negative impact on availability.

To ensure the database schema is up to date the background migrations
are performed inline in development and test environments. We also make
sure to not migrate that that doesn't need migrating in the first place
or has already been migrated.