What leaders see
The system is in the cloud, but risk still feels local.
Performance, outage exposure, security questions, backup confidence, and monthly spend are still hard to explain.
Services
Cloud Migration · Data
Move your data to the cloud without losing a single record.
Manufacturing data -- ERP databases, file shares, document archives, and transaction histories -- is the most critical asset in a cloud migration. We migrate it with replication, validation gates, and integrity checks at every stage so nothing is lost, corrupted, or orphaned.
01
The Problem
Data Migration That Breaks What It's Supposed to Preserve
Cloud problems usually start when infrastructure is moved before ownership, recovery, cost control, and data dependencies are designed around the ERP workload.
What is actually happening
The environment was sized around assumptions.
Workload behavior, recovery requirements, network paths, observability, and operating accountability were not designed together.
What gets worse
The cloud becomes another rented server room.
The business pays for flexibility without gaining a stronger foundation for ERP control, reporting, data readiness, or AI.
02
Scope
What this service has to produce.
The work is organized as modules because implementation scope should be visible before the build starts.
01
Database Migration
Migrate SQL Server, Oracle, PostgreSQL, MySQL, and AS/400 databases to cloud-native or cloud-hosted instances. Replication-based migration minimizes cutover downtime to minutes.
02
File System Migration
Migrate shared drives, document libraries, and file archives with full permission and metadata preservation. Tiered storage policies applied during migration -- active files on fast storage, archives on cold storage.
03
Data Integrity Validation
Record counts, checksums, and sample comparisons at every migration stage. Data does not go live until source and target match within defined accuracy thresholds.
04
Replication & Sync
Continuous database replication from on-premise to cloud during the migration period. Cutover happens when replication is in sync -- downtime measured in minutes, not hours.
05
Archive Strategy
Define what data migrates to production cloud, what goes to cloud archive (cold storage), and what gets decommissioned. Reduce storage costs while maintaining compliance retention requirements.
06
Encryption & Security
Data encrypted in transit and at rest. Secure transfer protocols, access controls during migration, and audit logging for compliance requirements.
03
Architecture
The service has to fit the operating layer it touches.
Infrastructure and data foundationWhich workloads move first, what has to stay isolated, and how rollback works.
Governance dependencyThe infrastructure has to support uptime, recovery, security, observability, and cost control before higher layers depend on it.
Systems the foundation supports
Odoo workloads
databases
API services
backups
logs and cost data
What we check before implementation
- Which system owns the record of truth.
- Where manual work or reconciliation enters the workflow.
- Which integrations, rules, or data cleanup have to come first.
Next step
Start with the operating problem, then sequence the build.
Metrotechs maps the record, traces the workflow, identifies the leakage, and turns the scope into a practical plan for ERP, cloud, data, automation, and AI.
Built around real records, workflows, governance, and production handoffs.
Scoped to what can be implemented, owned, and operated after launch.
04
Delivery sequence
How the work moves from diagnosis to production.
Manufacturing data -- ERP databases, file shares, document archives, and transaction histories -- is the most critical asset in a cloud migration. We migrate it with replication,.
01
Data Discovery
Inventory all databases, file shares, and data stores. Measure volumes, document access patterns, and identify compliance requirements for retention and residency.
02
Migration Architecture
Design the migration approach for each data source -- replication method, transfer mechanism, target storage architecture, and validation procedures.
03
Test Migration
Execute test migrations and validate integrity. Measure transfer times, verify data accuracy, and confirm application functionality against migrated data.
04
Production Migration
Execute production migration with replication sync, cutover, and post-migration validation. Verify every data source before decommissioning on-premise copies.
05
FAQ
Questions that usually decide the scope.
These answers help separate a real implementation plan from a generic technology discussion.
It depends on volume and bandwidth. A 500GB ERP database migrates in hours with replication. Multi-terabyte file shares may take days of background sync. Cutover downtime is typically under 30 minutes for replication-based migrations.