[Feature Flag] Enable UpdateLockedUnknownArtifactsWorker

Summary

This issue is to track the rollout of a new worker we're introducing to work through the backlog of records in ci_job_artifacts that do not have a known locked status.

We've restricted the DestroyAllExpiredService to removing artifacts in a highly performant way, enabled by the ci_destroy_unlocked_job_artifacts feature flag. While this highly efficient code path is in use, we no longer have any worker combing through the backlog of old artifacts and using the older, slower method to figure out if the artifacts are in fact locked or not, based on ci_pipelines.locked. This worker is built for that specific purpose - to mark as locked or directly remove artifacts that have not had their own meaningful locked value populated yet.

As the table is receiving a great deal of traffic during the backlog processing, we're rolling out this worker with a feature flag that will allow us to turn the worker on and off quickly as needed. As it's background, non-customer facing work, it's a lower priority than the other processes happening on this table and we'd like to be able to get it out of the way if necessary.

Owners

• Team: grouppipeline execution
• Most appropriate slack channel to reach out to: #verify-reliability-engineering-allocation
• Best individual to reach out to: @drewcimino (@mattkasa as a backup)
• PM: @jheimbuck_gl

Stakeholders

Expectations

What are we expecting to happen?

We expect the worker to run every 15 minutes and loop through a batch of artifacts. Using the older, slower method of querying locked status from the ci_pipelines table, we'll either mark the artifacts as locked or remove them directly.

When is the feature viable?

Ongoing viability of the service is unlikely because it's somewhat irrelevant. Newly created artifacts have their locked value populated automatically, and never end up in an unknown state. Once we've finished churning through the large backlog we have on gitlab.com, this worker won't have any real value and we can get rid of it.

For self-managed customers, this will be available in the event a dedicated worker if needed, but old artifacts can also be cleaned by turning off the ci_destroy_unlocked_job_artifacts feature flag (already defaulted to off for SM customers) as long as the table isn't so large that they have a backlog similar to gitlab.com.

Example below:

1. Enable service ping collection ApplicationSetting.first.update(usage_ping_enabled: true) -->

What might happen if this goes wrong?

If for some reason there's too much traffic on the table and running this worker is degrading performance, we can quickly turn it off with the feature flag and decide how to throttle the operation.

What can we monitor to detect problems with this?

Consider mentioning checks for 5xx errors or other anomalies like an increase in redirects (302 HTTP response status)

What can we check for monitoring production after rollouts?

Consider adding links to check for Sentry errors, Production logs for 5xx, 302s, etc.

Rollout Steps

Rollout on non-production environments

• Ensure that the feature MRs have been deployed to non-production environments.
  • /chatops run auto_deploy status <merge-commit-of-your-feature>
• Enable the feature globally on non-production environments.
  • /chatops run feature set <feature-flag-name> true --dev
  • /chatops run feature set <feature-flag-name> true --staging
• Verify that the feature works as expected. Posting the QA result in this issue is preferable.

Specific rollout on production

• Ensure that the feature MRs have been deployed to both production and canary.
  • /chatops run auto_deploy status <merge-commit-of-your-feature>
• If you're using project-actor, you must enable the feature on these entries:
  • /chatops run feature set --project=gitlab-org/gitlab <feature-flag-name> true
  • /chatops run feature set --project=gitlab-org/gitlab-foss <feature-flag-name> true
  • /chatops run feature set --project=gitlab-com/www-gitlab-com <feature-flag-name> true
• If you're using group-actor, you must enable the feature on these entries:
  • /chatops run feature set --group=gitlab-org <feature-flag-name> true
  • /chatops run feature set --group=gitlab-com <feature-flag-name> true
• If you're using user-actor, you must enable the feature on these entries:
  • /chatops run feature set --user=<your-username> <feature-flag-name> true
• Verify that the feature works on the specific entries. Posting the QA result in this issue is preferable.

Preparation before global rollout

• 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).
• Announce on the feature issue an estimated time this 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).

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.
  • If the feature flag in code has an actor, perform actor-based rollout.
    • /chatops run feature set <feature-flag-name> <rollout-percentage> --actors
  • If the feature flag in code does NOT have an actor, perform time-based rollout (random rollout).
    • /chatops run feature set <feature-flag-name> <rollout-percentage>
  • Enable the feature globally on production environment.
    • /chatops run feature set <feature-flag-name> true
• Announce on the feature issue 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 to true.
  • Create a changelog entry.
• Ensure that the default-enabling MR has been deployed to both production and canary. If the merge request was deployed before the code cutoff, the feature can be officially announced in a release blog post.
  • /chatops run auto_deploy status <merge-commit-of-default-enabling-mr>
• 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 <feature-flag-name>".
  • 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.

WARNING: This approach has the downside that it makes it difficult for us to clean up the flag. For example, on-premise users could disable the feature on their GitLab instance. But when you remove the flag at some point, they suddenly see the feature as enabled and they can't roll it back to the previous behavior. To avoid this potential breaking change, use this approach only for urgent matters.

Release the feature

After the feature has been deemed stable, the clean up should be done as soon as possible to permanently enable the feature and reduce complexity in the codebase.

You can either create a follow-up issue for Feature Flag Cleanup or use the checklist below in this same issue.

• Create a merge request to remove <feature-flag-name> feature flag. Ask for review and merge it.
  • Remove all references to the feature flag from the codebase.
  • Remove the YAML definitions for the feature from the repository.
  • Create a changelog entry.
• Ensure that the cleanup MR has been deployed to both production and canary. If the merge request was deployed before the code cutoff, the feature can be officially announced in a release blog post.
  • /chatops run auto_deploy status <merge-commit-of-cleanup-mr>
• Close the feature issue to indicate the feature will be released in the current milestone.
• Clean up the feature flag from all environments by running these chatops command in #production channel:
  • /chatops run feature delete <feature-flag-name> --dev
  • /chatops run feature delete <feature-flag-name> --staging
  • /chatops run feature delete <feature-flag-name>
• Close this rollout issue.

Rollback Steps

• This feature can be disabled by running the following Chatops command:

/chatops run feature set <feature-flag-name> false