ClearLoops

Legacy Modernization

Replatform without breaking the business.

Most modernization projects fail not because the technology is hard, but because the migration plan ignores the business. We deliver phased, reversible change that ships value early and keeps customers unaware that anything is moving underneath.

  • Strangler-fig migrations with zero-downtime cutovers
  • Parallel-run validation before customer-facing switch
  • Roadmaps tied to business milestones, not stack purity
  • Clear rollback at every step
0
Customer-visible downtime
30–60%
Lower run-rate cost
2–4x
Faster delivery cadence
12 mo
Typical full cutover

01

Where we help

We focus on the migrations where the cost of getting it wrong is highest: revenue-bearing systems, regulated workloads, and platforms with long-lived data and integrations.

Monolith decomposition

Identify seams, extract services, and route traffic incrementally with feature flags and shadow reads.

Database migrations

Move off Oracle, SQL Server, or aging Postgres with dual-write, backfill, and verifiable cutovers.

Cloud replatforming

Lift, refactor, or rebuild — chosen per workload based on risk, cost, and roadmap value.

Integration untangling

Replace point-to-point integrations with event-driven patterns and a clear contract surface.

02

How we de-risk it

Every modernization plan we deliver answers three questions before a single line is migrated: what breaks if we stop midway, what does the rollback look like, and how will we know it's working.

Phased rollouts

Cohorted by customer, region, or feature — never a big-bang weekend.

Observability first

Baseline metrics in place before migration so regressions are caught in minutes, not weeks.

Parallel run

Old and new systems run side-by-side with diff checks until confidence is earned.

Documented rollback

Every step has a tested reverse. No heroics required.

Engagement

A clear, repeatable process

  1. 01
    Assess

    Inventory systems, dependencies, data flows, and business risk.

  2. 02
    Sequence

    Plan the migration as a series of small, independently valuable releases.

  3. 03
    Migrate

    Execute with parallel run, observability, and customer-cohorted rollouts.

  4. 04
    Decommission

    Retire the old stack only after the new one has proven itself.

FAQ

Frequently asked questions

Do you do the work or advise?
Both. We can lead, embed senior engineers alongside your team, or coach an internal team through the migration.
How do you handle data migration risk?
Dual-write, shadow reads, and automated diff checks. We don't cut over until the new system has matched the old one in production traffic.
What if priorities change mid-migration?
Because we ship in small reversible increments, pausing is always an option. You will not be left with a half-finished project.