Magecore

Guide

How to reduce TCO in Adobe Commerce / Magento operations?

By Marcio Maciel · Co-founder · Digital Business Engineering

Published June 15, 2026 · Updated June 29, 2026

25% to 50% infrastructure TCO reduction over 12 months is a realistic target for mid-size Adobe Commerce / Magento operations that migrate to modular architecture with observability, provided the starting point includes elevated reactive legacy costs.

Where inflated TCO comes from

In mature operations, TCO rarely sits in the platform license. The biggest leaks come from reactive maintenance, oversized infrastructure, fragile integrations, and obsolete extensions.

A documented Magecore case mapped 38% of the IT budget to reactive Magento 1 maintenance and R$ 1.8M/year in invisible costs, before any migration.

How Magecore reduces TCO

Reduction comes from three combined levers, always measured against a baseline defined in the assessment:

  • Strangler migration to modular architecture: eliminates vendor dependency and reduces structural cost
  • Observability and predictive monitoring: cuts reactive incidents and firefighting hours
  • Integration and infra optimization: when the platform is not the bottleneck (8-day assessment avoided R$ 800K+ in unnecessary migration)

Documented results

Anonymized cases published on the site include -41% infrastructure TCO over 12 months (retail), R$ 2.1M in documented annual savings, and R$ 1.2M saved without platform migration when the assessment showed integrations were the bottleneck.

Every recommendation is tied to P&L metrics: TCO, conversion, support tickets, LTV, or annual operational savings, with baseline before intervention and 12-month measurement.

Related questions

What TCO reduction is realistic to expect?

For migrations to modular architecture with observability, 25% to 50% reduction in infrastructure TCO over 12 months is a realistic target for mid-size operations.

The exact percentage depends on the starting point: operations with high reactive legacy costs tend toward the upper range; each case is quantified in the diagnostic.

View in FAQ

How do you measure ROI on a technical intervention?

Every recommendation is tied to client P&L metrics: TCO, conversion, support tickets, LTV, or annual operational savings.

We define a baseline before the intervention, a measurement period (typically 12 months), and report documented results — the same criterion used in published case studies.

View in FAQ