Business outcome
Use this capability when the framework shows that availability, access, recovery, security, data movement, or infrastructure risk is interrupting the people and systems required to keep a customer promise.
Services
Cloud & Infrastructure · Cloud · Data Migration
Cloud Data Migration
Move manufacturing data behind the supply chain without losing its operating meaning.
Databases, files, documents, transaction history, permissions, and integration state cannot simply be copied and assumed correct. We use staged transfer, validation rules, exception handling, and business reconciliation before cutover so the people and systems behind the customer promise can keep working.
Launchpad assesses the operating need and creates the Roadmap. We engineer this capability when the approved plan calls for it.
A strong fit when
- Database migration completed but application performance degraded because storage IOPS weren't matched
- File shares migrated but permissions lost -- users can't access their own documents
- Historical transaction data truncated or archived incorrectly during migration
- No validation that migrated data matches source -- discrepancies discovered weeks later in production
Why this service exists
Connect the technology decision to the work the manufacturing business must control.
System responsibility
Cloud engineering provides the controlled infrastructure, access, connectivity, security, observability, backup, and recovery that connected business systems require.
Ownership and control
The manufacturer should understand workload dependencies, access, recovery objectives, cost, controls, vendors, and the operating practices required to change or recover the environment.
01
The Problem
A cloud data move can preserve files while losing operating meaning and trust.
Cloud problems begin when workloads move or grow without a clear account of the business dependencies, access, recovery, security, monitoring, ownership, and cost behind them.
What leaders see
Reliability, access, and cost are difficult to explain.
Teams know the infrastructure matters but cannot connect incidents, spending, recovery, or performance to the work it supports.
What is actually happening
The workload has no complete operating model.
Dependencies, controls, recovery objectives, monitoring, and ownership are distributed across tools, vendors, and individual knowledge.
What gets worse
Migration moves the uncertainty instead of resolving it.
The platform changes while weak access, integration, recovery, cost, and support practices remain.
02
What changes
Make the operating responsibility visible and governable.
Databases, files, documents, transaction history, permissions, and integration state cannot simply be copied and assumed correct. We use staged transfer, validation rules, exception.
01
Operating outcome
Move manufacturing data behind the supply chain without losing its operating meaning.
02
Workloads and controls to protect
business applications, databases and files, identity and access
03
Decision and exception path
Which workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
04
Ownership and continuity
Cloud work needs documented workload dependencies, access rules, recovery objectives, security controls, monitoring, cost ownership, and a tested operating model.
03
Architecture
Build the service around the business record and decision.
Which workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
01Source record
02Governed connection
03Validation
04Business system
05Accountable owner
Workloads and controls to protect
business applicationsdatabases and filesidentity and accessintegrations and networksbackup and recovery
04
Engineering scope
What Metrotechs engineers for Cloud Data Migration.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
01
Database Migration
Move supported databases to the selected cloud service using the replication, export, transformation, validation, and cutover pattern the source, target, and operating window can support.
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.
05
Delivery sequence
From operating reality to a solution the business can own.
Data Discovery
Inventory all databases, file shares, and data stores. Measure volumes, document access patterns, and identify compliance requirements for retention and residency.
Migration Architecture
Design the migration approach for each data source -- replication method, transfer mechanism, target storage architecture, and validation procedures.
Test Migration
Execute test migrations and validate integrity. Measure transfer times, verify data accuracy, and confirm application functionality against migrated data.
Production Migration
Execute production migration with replication sync, cutover, and post-migration validation. Verify every data source before decommissioning on-premise copies.
Related services and systems
Continue through the connected operating environment.
Use these connected services and references to understand the records, workflows, and systems surrounding this work.
06
FAQ
Questions to answer before implementation begins.
Clear answers for manufacturing leaders evaluating the work, operating responsibility, and delivery path.
Timing depends on volume, change rate, bandwidth, source and target behavior, validation depth, permitted cutover window, and whether replication is supportable. We measure those conditions and rehearse the migration before committing to a cutover estimate.