Checklist

Data Engineering & Platform Daily-Ops Checklist

Interactive operational checklist to run consistent daily checks on pipeline health, SLAs, storage cost, retention, schema/contract changes, and incident triage. Records metrics, notes, runbook links, and follow-up tickets for traceability.

Interactive Tool

Data Engineering & Platform Daily-Ops Checklist

Use this checklist each shift to keep pipelines reliable, control costs, and triage incidents. Record key metrics, link runbooks, and capture follow-ups so your team can spot trends and act quickly. Submissions are stored for traceability and trend analysis.

YYYY-MM-DD (or auto-filled)
Team or person responsible today
High-level assessment of platform health
Check if daily/expected runs finished
Enter 0 if none
Number of runs that missed expected completion time
Largest queue depth observed during day
Check if SLA missed; provide details below
Positive values indicate increase
List dataset names or buckets, one per line
Check if retention/TTL changes or expirations need attention
Check if there are proposed or deployed schema changes to validate
Were there any incidents affecting data freshness, accuracy, or delivery
Comma-separated incident identifiers; leave blank if none
Select primary action
Person or team responsible for follow-up
Paste URLs for runbooks or playbooks used
Any observations, root-cause hypotheses, or actions to schedule
Select yes to create tickets in your system (manual integration required)
Ticket numbers created for follow-up actions
Optional email for follow-up or notifications
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