Insights

Short, practical checklists for cloud data teams.

These resources are designed for technical buyers: CTOs, data leads, analytics engineers, and consultancies deciding whether they need a focused audit or implementation sprint.

Checklist

AWS Glue Pipeline Review Checklist

What to check before changing a production Glue pipeline: failures, retries, data quality, ownership, costs, and deployment paths.

Map every trigger, dependency, retry, and manual recovery step.
Check whether failures alert the right owner with enough context.
Review partitioning, file sizes, crawler usage, and Athena query patterns.
Confirm Terraform, CI/CD, and environment separation are documented.

Checklist

How Athena Costs Get Out of Control

Common reasons Athena bills grow: weak partitioning, repeated dashboard scans, oversized files, and unclear workload ownership.

Start by identifying the dashboards, queries, and teams generating scan volume.
Review partition design and file layout before changing compute patterns.
Use cost dashboards and alerts so owners see recurring waste early.
Turn findings into a small backlog, not a one-time report.

Checklist

dbt Cleanup Checklist for Growing Teams

A practical dbt cleanup approach for teams with duplicated SQL, weak tests, unclear marts, or dashboard-specific logic.

Identify critical models and dashboards before refactoring.
Separate staging, intermediate, and mart responsibilities.
Add tests where broken assumptions would hurt business reporting.
Document ownership and model purpose in language analysts can use.

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