What leaders see
Packaged tools do not fit the required work.
Teams rely on workarounds because standard products cannot represent a critical workflow, rule, interface, or decision.
Cloud Migration · Planning
Plan cloud migration around manufacturing 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
Custom-software problems begin when the operation has a real capability gap but has not separated what should be configured, integrated, modernized, purchased, or deliberately owned in code.
What leaders see
Teams rely on workarounds because standard products cannot represent a critical workflow, rule, interface, or decision.
What is actually happening
Business rules, legacy dependencies, integration boundaries, user needs, and support ownership remain mixed together.
What gets worse
Uncontrolled customizations accumulate without architecture, testing, documentation, or a maintainable change path.
02
What Changes
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.
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.
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.
Group workloads into migration waves based on dependencies, business criticality, and risk tolerance. Each wave has a defined scope, timeline, and success criteria.
Detailed cutover runbooks for each wave -- task sequences, timing, responsible parties, validation steps, and communication plans. Rehearsed before execution.
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.
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 Your Operations
Related Services and Planning
Follow the dependencies behind this service instead of treating it as an isolated project.
Connect the new or modernized capability to the operating environment around it.
Explore next stepDefine the actions, approvals, exceptions, and ownership the software must support.
Explore next stepMake adoption, operating performance, and exceptions measurable after delivery.
Explore next stepUse Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
04
Delivery sequence
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.
Catalog every system, database, and service. Document owners, criticality, dependencies, and current performance baselines.
Evaluate each application and assign the appropriate migration strategy. Present recommendations with rationale and effort estimates.
Group applications into migration waves. Sequence waves to minimize risk and dependency conflicts. Define success criteria and rollback triggers for each wave.
Build detailed cutover and rollback runbooks for each wave. Rehearse critical waves in a test environment before production execution.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
Typically 3-6 weeks depending on the number of applications and complexity of dependencies. This investment prevents weeks of unplanned downtime and rework during execution.