# IFS Cloud Migration Tool and the Service Update Process

> Source: https://netray.co/erp-help/ifs-cloud-migration-tool-and-service-updates
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: ERP Help

## Short answer

IFS Cloud ships a data migration capability for loading legacy master and transaction data through staged migration jobs, and it follows a release model of feature releases plus service updates in between. Treat both as projects: migrate in rehearsed waves and test every update in a non-production environment first.

## Kind

how-to

## System

ifs

## Erp

IFS Cloud

## Module

Data Migration / Release and Update Management

## Query

ifs cloud migration tool

## Alternate Queries

- ifs cloud update
- service updates ifs cloud
- ifs cloud data migration

## Applies To

IFS Cloud (Evergreen model). Cadence and tooling names depend on whether you run IFS-managed cloud, a partner-managed environment or on-prem.

## Steps

### Run a migration and an update safely

**Items:**

- Define the migration scope by object: parts, customers, suppliers, open orders, opening balances. Do not migrate closed history unless you need it.
- Cleanse the source first. Duplicates and inconsistent units cost more to fix after loading than before.
- Map source fields to the target migration objects and agree default values for mandatory IFS fields.
- Load into a test environment using the migration jobs, review the error output, fix the data and repeat until a full run is clean.
- Reconcile counts and values, for example stock quantity and value against the old system, and get business sign-off.
- For updates, read the release notes, apply to a non-production environment, run regression tests on your customizations and integrations, then schedule production.
- Keep a rollback and communication plan for the cutover window.

## Sections

### How migration tooling is used

**Body:**

IFS provides migration jobs that take staged data, validate it against the same business rules the application uses, and create the records through the standard server logic. That matters because it keeps data consistent, but it also means a bad row fails with a business rule message rather than loading silently.

Plan for several full rehearsal loads. The first run usually exposes mapping gaps, missing mandatory values and ordering problems, for example customers before customer orders, parts before inventory balances.

### Release model and service updates

**Body:**

IFS Cloud uses an Evergreen approach: feature releases a couple of times a year, with smaller service updates between them to deliver fixes. The exact schedule and how much control you have depends on your hosting model, so check your agreement and the IFS release information for your environment.

Customers with many customizations feel updates most. The more you extend through supported mechanisms such as custom fields, events, projections extensions and personalization, the less each update disturbs you.

### Testing an update

**Body:**

Build a standing regression pack: core order-to-cash and procure-to-pay flows, key reports, background jobs, interfaces and customer-specific extensions. Run it on every update in a test environment that has recent production-like data.

Pay particular attention to integrations calling projections, since an API change or a changed permission can break an interface that looks unrelated to the update.

## Pitfalls

- Skipping rehearsal loads and discovering mapping problems at cutover.
- Migrating years of closed transactions that nobody will use.
- Applying a service update straight to production without a regression pack.
- Customizing through unsupported routes that break on update.
- Forgetting that integrations and reports can fail after an update even if screens look fine.

## Ai Angle

An assistant over your IFS data can run reconciliation questions during migration, such as comparing stock value in IFS to the legacy extract, and list which orders reference missing parts. It reads, shows its query and never writes. In on-prem estates the model runs inside your network.

## Faq

### Is there an official IFS Cloud data migration tool?

**Answer:** Yes, IFS includes data migration capability built on staged migration jobs. Names and screens vary by release, so ask your IFS contact or check the documentation for your version for the exact entry points and supported objects.

### How often is IFS Cloud updated?

**Answer:** Feature releases come a couple of times a year, with service updates between them. Your exact cadence depends on your hosting arrangement, so confirm it with IFS or your partner.

### Do I have to apply every service update?

**Answer:** In managed cloud there is limited room to skip. You control the timing within a window and the testing. Agree the policy in writing so there are no surprises.

### How do I limit update risk?

**Answer:** Use supported extension methods, keep a regression pack, test on a production-like environment and review release notes for changes touching your integrations and reports.

## Search terms

ifs cloud migration tool, ifs cloud data migration, ifs cloud update, ifs cloud service update, ifs cloud release schedule, ifs evergreen release, ifs migration jobs, ifs cloud upgrade testing

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