Rollout rendering of Blame file information within the Blob viewer frontend app
Summary
This issue is to rollout Render Blame file information within the Blob viewer frontend app on production,
that is currently behind the blob_blame_info
feature flag.
Note: the feature flag name is still to be decided
Owners
- Team: groupsource code
- Most appropriate slack channel to reach out to:
#g_create_source_code
- Best individual to reach out to:
- PM: TBD
Expectations
What are we expecting to happen?
When viewing Source Code via the repository files browser, users should have the ability to view Blame information without leaving the page. A toggle should be available to the user user, and once clicked the blame information should render as expected.
When is the feature viable?
TBD
What might happen if this goes wrong?
When viewing source code via the repository files browser the page might not work as expected.
What can we monitor to detect problems with this?
Frontend error logs
What can we check for monitoring production after rollouts?
https://sentry.gitlab.net/gitlab/gitlabcom/
Rollout Steps
Note: Please make sure to run the chatops commands in the slack channel that gets impacted by the command.
Rollout on non-production environments
-
Verify the MR with the feature flag is merged to master. - Verify that the feature MRs have been deployed to non-production environments with:
-
/chatops run auto_deploy status <merge-commit-of-your-feature>
-
-
Enable the feature globally on non-production environments. -
/chatops run feature set blob_blame_info true --dev --staging --staging-ref
- If the feature flag causes QA end-to-end tests to fail:
-
Disable the feature flag on staging to avoid blocking deployments.
-
-
-
Verify that the feature works as expected. Posting the QA result in this issue is preferable. The best environment to validate the feature in is staging-canary as this is the first environment deployed to. Note you will need to make sure you are configured to use canary as outlined here when accessing the staging environment in order to make sure you are testing appropriately.
For assistance with QA end-to-end test failures, please reach out via the #quality
Slack channel. Note that QA test failures on staging-ref don't block deployments.
Specific rollout on production
For visibility, all /chatops
commands that target production should be executed in the #production
slack channel and cross-posted (with the command results) to the responsible team's slack channel (#g_TEAM_NAME
).
- Ensure that the feature MRs have been deployed to both production and canary.
-
/chatops run auto_deploy status <merge-commit-of-your-feature>
-
- Depending on the type of actor you are using, pick one of these options:
- If you're using project-actor, you must enable the feature on these entries:
-
/chatops run feature set --project=gitlab-org/gitlab,gitlab-org/gitlab-foss,gitlab-com/www-gitlab-com blob_blame_info true
-
- If you're using project-actor, you must enable the feature on these entries:
-
Verify that the feature works on the specific entries. Posting the QA result in this issue is preferable.
Preparation before global rollout
-
Set a milestone to the rollout issue to signal for enabling and removing the feature flag when it is stable. -
Check if the feature flag change needs to be accompanied with a change management issue. Cross link the issue here if it does. -
Ensure that you or a representative in development can be available for at least 2 hours after feature flag updates in production. If a different developer will be covering, or an exception is needed, please inform the oncall SRE by using the @sre-oncall
Slack alias. -
Ensure that documentation has been updated (More info). -
Leave a comment on the feature issue announcing estimated time when this feature flag will be enabled on GitLab.com. -
Ensure that any breaking changes have been announced following the release post process to ensure GitLab customers are aware. -
Notify #support_gitlab-com
and your team channel (more guidance when this is necessary in the dev docs). -
Ensure that the feature flag rollout plan is reviewed by another developer familiar with the domain.
Global rollout on production
For visibility, all /chatops
commands that target production should be executed in the #production
slack channel and cross-posted (with the command results) to the responsible team's slack channel (#g_TEAM_NAME
).
-
Incrementally roll out the feature. -
Between every step wait for at least 15 minutes and monitor the appropriate graphs on https://dashboards.gitlab.net. - If the feature flag in code has an actor, perform actor-based rollout.
-
/chatops run feature set blob_blame_info <rollout-percentage> --actors
-
- If the feature flag in code does NOT have an actor, perform time-based rollout (random rollout).
-
/chatops run feature set blob_blame_info <rollout-percentage> --random
-
- Enable the feature globally on production environment.
-
/chatops run feature set blob_blame_info true
-
-
-
Observe appropriate graphs on https://dashboards.gitlab.net and verify that services are not affected. -
Leave a comment on the feature issue announcing that the feature has been globally enabled. -
Wait for at least one day for the verification term.
(Optional) Release the feature with the feature flag
If you're still unsure whether the feature is deemed stable but want to release it in the current milestone, you can change the default state of the feature flag to be enabled. To do so, follow these steps:
-
Create a merge request with the following changes. Ask for review and merge it. -
Set the default_enabled
attribute in the feature flag definition totrue
. -
Review what warrants a changelog entry and decide if a changelog entry is needed.
-
-
Ensure that the default-enabling MR has been included in the release package. If the merge request was deployed before the monthly release was tagged, the feature can be officially announced in a release blog post. -
/chatops run release check <merge-request-url> <milestone>
-
-
Consider cleaning up the feature flag from all environments by running these chatops command in #production
channel. Otherwise these settings may override the default enabled.-
/chatops run feature delete blob_blame_info --dev --staging --staging-ref --production
-
-
Close the feature issue to indicate the feature will be released in the current milestone. -
Set the next milestone to this rollout issue for scheduling the flag removal. -
(Optional) You can create a separate issue for scheduling the steps below to Release the feature. -
Set the title to "[Feature flag] Cleanup blob_blame_info
". -
Execute the /copy_metadata <this-rollout-issue-link>
quick action to copy the labels from this rollout issue. -
Link this rollout issue as a related issue. -
Close this rollout issue.
-