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Pulumi × CLEAR

Pulumi x CLEAR, 90% smaller infrastructure codebase via Python SDK migration

~90% projected reduction in lines of infrastructure code

Sprawling, hard-to-maintain Terraform codebase to a lean self-serve developer platform

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Why it works

The story is grounded in a concrete before-state with a specific line count (150,000 lines of HCL), which makes the projected 90% reduction feel credible and meaningful. The mechanism is explained in enough technical detail that an infrastructure team could follow the same approach: replace HCL with Python SDK, use the Automation API for dynamic provisioning, and expose a simple YAML interface to service teams. The secondary New Capability angle is genuine: service teams could not self-serve infrastructure at all before, so that is a net-new ability, not just a faster version of the old workflow.

Steal this

Anchoring the story with a named line count (150,000 lines of HCL) before introducing the solution gives the percentage reduction real weight. Readers immediately know what 90% smaller actually means in absolute terms.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Pulumi's published work; we link to the source and lead with our analysis.

  • Vendor Pulumi
  • Customer CLEAR
  • Industry Enterprise Software
  • Trigger 150,000-line Terraform codebase becoming a bottleneck for both core infra team and service teams
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page