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2026 · MULTI-BRAND · MONOREPO · DEVX AI LABS

Music Tribe — One codebase. Twelve brands. 35TB migrated.

YEAR
2026
COMPANY
Devx AI Labs
ROLE
SDE-1 · Full-Stack + Cloud
Next.jsOpenSearchStrapiMedusa.jsPimcoreGCPKubernetesPython
12 brand nodes orbiting a central Next.js monorepo core
12+
Brands Unified
35TB
Data Migrated
~60%
Deduplication
0
Downtime
PROBLEM

Music Tribe, a global music equipment conglomerate, operated 12+ brand websites as isolated codebases — each with its own deploy pipeline, CMS, and infrastructure. Updates required coordinating across teams, assets were duplicated across regions, and the legacy cloud setup couldn't scale to their growing product catalog spanning millions of records.

APPROACH

Engineered a unified Next.js monorepo to serve all 12+ brand websites from a single codebase with SSR, ISR, and CSR rendering optimized per brand. Built a Pimcore-based DAM, PIM, and MDM system to normalize millions of unstructured CSV/Excel product records into clean relational models. Architected and executed a 35TB cloud migration (5.6M+ files) using a distributed Python pipeline with parallel workers, streaming transfers, idempotency checkpointing, and fault tolerance — achieving ~60% deduplication and reducing ~8.85TB of redundant storage with zero downtime. Owned the entire GCP infrastructure: load balancers, instance groups, Kubernetes worker clusters, Elasticsearch, and CDN. Designed a cloud-agnostic architecture portable to AWS via config-driven deployments, and secured all asset delivery using UUID-based file paths to prevent enumerable CDN URLs.

RESULT

All 12+ brands served from one codebase with independent deploy capabilities. 35TB migrated across clouds with zero downtime and full data integrity. ~8.85TB storage reduction through intelligent deduplication. Millions of product records normalized and searchable via OpenSearch. GCP infrastructure running in production with AWS portability built-in.

— VISUALS
ARCHITECTURE — Monorepo node graph with brand routing layer and GCP infrastructure
ARCHITECTURE — Monorepo node graph with brand routing layer and GCP infrastructure
DATA PIPELINE — 35TB distributed migration with parallel workers and checkpointing
DATA PIPELINE — 35TB distributed migration with parallel workers and checkpointing
DATA SYSTEM — Pimcore DAM/PIM/MDM with normalized relational product models
DATA SYSTEM — Pimcore DAM/PIM/MDM with normalized relational product models