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 Migration · Planning
Cloud Migration Planning
Plan cloud migration around operating continuity.
ERP, warehouse, integration, analytics, and portal dependencies determine what can move, when it can move, and how it must be validated. We define workload sequence, cutover windows, ownership, test evidence, fallback conditions, and recovery before migration begins.
Launchpad assesses the operating need and creates the Roadmap. We engineer this capability when the approved plan calls for it.
A strong fit when
- Migration started with the "easy" servers and then hit dependencies nobody mapped
- Cutover windows too short because nobody measured actual data transfer times
- No rollback plan -- when the ERP didn't work in cloud, there was no way back
- Applications migrated individually without considering cross-system data flows and timing
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
The migration schedule exists, but workload dependencies and fallback decisions are unresolved.
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.
ERP, warehouse, integration, analytics, and portal dependencies determine what can move, when it can move, and how it must be validated. We define workload sequence, cutover windows,.
01
Operating outcome
Plan cloud migration around operating continuity.
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 Migration Planning.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
01
Dependency Mapping
Map every application-to-application, application-to-database, and application-to-network dependency. Identify hidden dependencies that break when one system moves and another doesn't.
02
Migration Strategy per Workload
Assign each application the right migration strategy: rehost (lift-and-shift), replatform (minor modifications), refactor (re-architect), or replace (move to SaaS). Not everything gets the same treatment.
03
Wave Planning & Sequencing
Group workloads into migration waves based on dependencies, business criticality, and risk tolerance. Each wave has a defined scope, timeline, and success criteria.
04
Cutover Procedures
Detailed cutover runbooks for each wave -- task sequences, timing, responsible parties, validation steps, and communication plans. Rehearsed before execution.
05
Rollback Procedures
Documented rollback plan for every migration wave with clear triggers and execution steps. If something breaks, you can revert without data loss or extended downtime.
06
Risk Assessment & Mitigation
Risk register for each migration wave with probability, impact, mitigation strategies, and contingency plans. Risks are managed proactively, not discovered during cutover.
05
Delivery sequence
From operating reality to a solution the business can own.
Application Inventory
Catalog every system, database, and service. Document owners, criticality, dependencies, and current performance baselines.
Strategy Assignment
Evaluate each application and assign the appropriate migration strategy. Present recommendations with rationale and effort estimates.
Wave Design
Group applications into migration waves. Sequence waves to minimize risk and dependency conflicts. Define success criteria and rollback triggers for each wave.
Runbook Development
Build detailed cutover and rollback runbooks for each wave. Rehearse critical waves in a test environment before production execution.
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.
The planning effort depends on the number of workloads, undocumented dependencies, access constraints, recovery requirements, validation depth, and decision availability. We define the evidence required for a responsible estimate during discovery.