Retail and logistics Cloud modernization APIs and backend Observability Anonymous case

Logistics platform modernization for a retailer

We migrated a monolith to a set of decoupled services with REST APIs, end-to-end observability and CI/CD, reducing response times and increasing release cadence.

LATAM Retailer ·

70% MTTR reduction From ~3 hours to ~50 minutes on P1 incidents.
12x Release cadence From 1 release every 2 weeks to multiple per day.
0 Downtime during migration Strangler fig with traffic controlled by feature flags.

Problem

An on-prem monolith older than 8 years had piled up technical debt, deployments took over 4 hours and peak-hour incidents were diagnosed blind because there was no structured observability.

Intervention

We designed a progressive migration (strangler fig) to Google Cloud, identifying domains that were good candidates to extract as services. We built APIs in Python/FastAPI, added OpenTelemetry for distributed traces and set up a CI/CD pipeline in GitHub Actions with automated deployments to GKE. The monolith kept operating during the entire migration with zero user downtime.

Outcome

After 7 months, 60% of critical traffic runs on the new services. Deployments dropped from hours to minutes, incident MTTR dropped 70% thanks to traces, and the client team is now able to evolve the platform autonomously.

Stack

Python FastAPI Google Cloud Platform GKE PostgreSQL OpenTelemetry GitHub Actions

Context

The client is a regional retailer whose logistics operation depends on a proprietary platform built in 2016. The platform supports route planning, shipment tracking and operator billing.

Why they reached out

Business growth started hitting the limits of the monolith. Each major release required maintenance windows, peak-hour incidents took long to diagnose, and the in-house team didn’t have bandwidth to modernize and operate at the same time.

How we worked

We started with a 3-week assessment to map domains, dependencies and risks. We identified the optimal candidates to extract (route planning, authentication, billing) and proposed an iterative plan with clear metrics.

We worked as an embedded squad with two engineers from the client side, which accelerated handover and ensured the knowledge stayed in-house.

The Caps team didn't just deliver the migration — they taught us to maintain it. Today we operate the platform with half the effort and twice the visibility.
VP of Technology VP Technology · Anonymous client

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