dbt Model Optimization: Fix the Models That Control Runtime
Your pipeline is late and the bill is up. This guide shows how to rank models by critical-path impact and compute cost, then apply exact fixes with SQL and configs.
7 min read
dbt Cloud Migration
Migrate to dbt Cloud — without breaking production
We move you onto dbt Cloud with CI, environments, exposures, and orchestration wired up — in weeks, not quarters.
The work
Most teams running dbt-core in CI hit a wall: nobody owns the runner, environments drift, exposures are stale, and PR review is bottlenecked on a single staff engineer. dbt Cloud solves that — but a sloppy migration leaves you with both worlds and twice the bills. We do it once, properly.
Outcomes
- Production parity with your existing dbt-core runs from day one
- CI pipelines that run on every PR with state-aware Slim CI
- Environments cleanly mapped to dev / staging / prod warehouses
- Exposures and sources documented so stakeholders can self-serve
- Cost guardrails and budget alerts wired into Slack
What you get
- Migration plan with cutover checklist
- dbt Cloud project + jobs configured to mirror current schedule
- GitHub integration with Slim CI on PRs
- Runbooks for on-call
- Two weeks of hypercare after cutover
Further reading
All articles →dbt Cloud Implementation: The Production Setup Checklist
A practitioner’s dbt Cloud implementation checklist: repo integration, environments, CI/state, jobs, access, docs, artifacts, alerts, and cost controls.
7 min read
dbt State-Aware Orchestration: What Changes in Prod
A practitioner’s guide to dbt state-aware orchestration in production: what it really runs, what breaks, how to measure savings, and how to roll out with guardrails.
7 min read
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