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.
Manufacturing Services
Manufacturing · 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.
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 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
What Cloud Migration Planning includes.
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.
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.
03
How It Fits Manufacturing
How this stage fits the manufacturing operation.
Cloud & InfrastructureWhich workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
Governance dependencyCloud work needs documented workload dependencies, access rules, recovery objectives, security controls, monitoring, cost ownership, and a tested operating model.
Workloads and controls to protect
business applications
databases and files
identity and access
integrations and networks
backup and recovery
What must be defined before engineering begins
- What the manufacturing business needs to change and why.
- Which systems, records, risks, and readiness gaps shape the work.
- What should be built, how it fits the architecture, and in what order.
Related Services and Planning
What to evaluate next.
Follow the dependencies behind this service instead of treating it as an isolated project.
01
Cloud Services
Connect this requirement to architecture, migration, security, recovery, cost, and operations.
Explore next step02
Integration Engineering
Protect the interfaces and data movement the workload supports.
Explore next step03
Digital Operating Stack
See how infrastructure supports systems, data, workflows, reporting, and AI.
Explore next step04
Start Your Transformation Roadmap
New material work begins in Launchpad so Metrotechs can validate the operating need, evidence, feasibility, architecture direction, and sequence before engineering begins.
Explore next stepStart With the Manufacturing Continuity Objective
Define the smallest sound response and delivery sequence.
Metrotechs determines what the operation actually requires before selecting technology. New material work begins in Launchpad so the evidence, feasibility, architecture direction, priorities, and sequence can be validated before engineering begins.
Metrotechs designs, builds, integrates, and supports the approved solution so demand, fulfillment, and service commitments remain reliable.
A technical request does not bypass discovery. The proposed solution remains a working hypothesis until Metrotechs validates it in Launchpad and maps continuity before build.
04
Delivery sequence
How Metrotechs delivers Cloud Migration Planning.
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.
01
Application Inventory
Catalog every system, database, and service. Document owners, criticality, dependencies, and current performance baselines.
02
Strategy Assignment
Evaluate each application and assign the appropriate migration strategy. Present recommendations with rationale and effort estimates.
03
Wave Design
Group applications into migration waves. Sequence waves to minimize risk and dependency conflicts. Define success criteria and rollback triggers for each wave.
04
Runbook Development
Build detailed cutover and rollback runbooks for each wave. Rehearse critical waves in a test environment before production execution.
05
FAQ
Questions to answer before changing this stage.
Straight answers to what manufacturing leaders ask before committing budget to this work.
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.