Pipeline Audits

Test Data and Fixture Clinic

Untangle brittle fixtures, oversized datasets, and slow seeds so pipelines regain minutes without weakening coverage.

We catalogue data dependencies, propose slimmer fixtures, and show how to keep representative cases. The clinic includes office hours for squads adopting the new patterns.

Duration: 8 business days · Format: Remote

From 640,000 HUF (informational, excluding VAT where applicable)

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What is included

  • Fixture size audit with anonymised samples
  • Synthetic data guardrails for PII-sensitive suites
  • Parallelism plan for integration tests
  • Guidance on local versus remote data services
  • Checklist for retiring zombie datasets

Outcomes

  • Shorter CI runs on targeted services
  • Safer test data practices for new hires
  • Shared playbook for adding new suites responsibly

Responsible advisor

Portrait of Mira Kovács

Mira Kovács

Principal CI/CD advisor who still writes pipeline YAML when teams need a working example.

Engagement filters

Engagement length: 2 weeks

Team size: 5-20 engineers

Delivery stage: Accelerate

Tooling stack: Jenkins

FAQ

Will coverage drop?

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We aim to trim time, not intent. Any coverage trade-off is explicit and signed by engineering leadership.

Database heavy suites?

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We profile I/O hotspots. Some fixes require infrastructure spend; we flag those early.

Not included?

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We do not migrate production databases or rewrite ORM layers.

Recent notes

Fixture Clinic cut our integration job by eleven minutes. One suite still needs love, but we finally know why it exists.

— Olivér