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How QuickCloud Works

Whether your legacy is a tangled SaaS codebase, a mainframe you've outgrown, or both — the same four steps apply.
Assessment to production, without the multi-year program.

1

Assess Your Environment

Whether you're dealing with a tangled SaaS monolith, aging mainframe workloads, or a mix of both — start by connecting your codebase, cloud accounts, and databases. QuickCloud scans your apps, maps dependencies, and surfaces exactly what needs to move, what needs to change, and in what order.

What this covers:

  • Automated codebase and dependency analysis
  • Legacy app and mainframe workload inventory with complexity scoring
  • Database schema and data relationship mapping
  • Cloud infrastructure and cost baseline
2

Build Your Modernization Plan

Select your goals — replatform a monolith, modernize COBOL or RPG workloads, migrate a database, clean up cloud costs, harden security, automate QA, or load test at scale. The AI engine generates a sequenced, risk-ranked action plan specific to your environment. No generic playbooks, no multi-year program required.

What this covers:

  • AI-generated modernization roadmap tailored to your stack
  • Risk-ranked sequencing across apps, data, and identity
  • Run one product or the full platform — your pace, your priorities
  • Customizable policies, migration targets, and rollout schedule
3

Validate Before You Commit

Every transformation runs in dry-run or parallel mode first — whether that's a COBOL batch refactor, a monolith decomposition, or a database cutover. See exactly what will change and how your systems behave under the new architecture before anything moves to production.

What this covers:

  • Parallel-run validation for migrations and refactors
  • Dry-run mode across all seven products
  • Side-by-side diff and compliance gap views
  • One-click rollback at every stage
4

Execute and Stay Modern

Deploy incrementally with your team in control at every step. Once live, QuickCloud keeps running — enforcing security policies, catching cost waste, and running regression and load tests on every deploy. The same platform that got you modern keeps you there.

What this covers:

  • Incremental deployment with rollback protection
  • Continuous security and compliance enforcement post-migration
  • AI-scripted regression and load tests run automatically in CI/CD — no test code required
  • Ongoing cloud cost governance across AWS, Azure, and GCP

Weeks to first results

Not months or years — scoped PoCs run in days, full migrations in weeks.

Your team stays in control

No delivery dependency on us. You run it, your team owns the outcome.

One platform, full lifecycle

From legacy assessment through post-migration ops — seven products, one subscription.

See It Applied to Your Environment

Schedule a personalized walk-through with our engineering team — we'll cover your specific stack and show you exactly how QuickCloud handles it.