Cloudify provides infrastructure automation using ‘Environment as a Service’ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.

Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.

The wall

Every team with a real Postgres schema eventually hits the same wall: you need a populated database to develop, test, and demo — but you can't use production data. Either it's regulated (PII, PCI, HIPAA), or the company doesn't exist yet, or your distributed team isn't cleared to touch it.

The existing options are all bad:

• Anonymization tools start at $200K/year and take weeks to set up
• Seed scripts are fragile, break on every migration, and fill up with test@test.com
• Faker / Mockaroo have no foreign key awareness — falls apart past 10 related tables

The third option

Seedfast: realistic, relational data generated from your schema alone, no production access required.

Point Seedfast at your live Postgres, give it a natural-language scope (for example, "fintech app with 100 accounts, transactions, and varied balances"), and it fills your database in one CLI command. Foreign keys resolve automatically. Values are domain-appropriate — names look like names, transactions look like transactions, dates make sense. The same tool works for 10 rows in a unit test and hundreds of thousands in a load test.

Because nothing ever connects to production, there's no PII pipeline to maintain, no security review to clear, no compliance risk to mitigate. The compliance problem doesn't exist instead of being solved.

Who it's for

Teams that can't use production data:

• Regulated industries — fintech, healthcare, anyone under GDPR / HIPAA / SOC 2
• Early-stage teams without production data yet
• Distributed teams where not every engineer is cleared for prod
• Engineering teams of 5–50 — too small for enterprise TDM, too complex for hand-written seed scripts

Also a strong fit for any team with 20+ tables and a seed file that's quietly become tech debt nobody wants to own.

Postgres-first CLI, runs anywhere you can run a binary.

seedfast seed !