Establish pipeline-log retention for regulated instances
Retention defaults can reduce exposure while making historical evidence harder to recover.
Security teams may favor shorter windows as operators and investigators depend on trace history during incidents.
“I don’t want job traces sitting around forever, but I can’t lose the evidence we need on a bad day.”
Worku Tadesse · Security Engineering Manager
Sets evidence-retention expectations for a regulated organization running self-managed delivery infrastructure.
What pulls against what
- data minimization vs. incident evidence
- uniform defaults vs. customer obligations
- automated classification vs. verified eligibility
- security urgency vs. migration trust
What is at stake
A durable policy can materially reduce exposure and storage burden. If it compromises investigations or migration trust, customers may resist the change
Why Gitlab
For integrated delivery data, retention choices often sit at the boundary between operational evidence and risk reduction.
Written for
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.