IT System Migration: How to Safely Switch Platforms Without Disrupting Business Processes

How to safely move to new platforms, keep processes stable, and reduce migration risks.

  • Why companies migrate systems
  • Why companies migrate systems
  • What is happening on the market now
  • Types of system migration and execution strategies

Companies are increasingly changing their IT infrastructure because of import substitution, growing load, or the need to move to the cloud. But the transition itself can become a source of problems if there is no clear plan. We explain what migration is, what types and strategies exist, how to choose an option without risk to the company, and which stages deserve special attention. We also share real cases of companies that managed to move to new platforms without stopping processes.

Why companies migrate systems

System Migration- this is a planned transfer of applications, data, and infrastructure from one IT environment to another.

The goal is not to move data mechanically, but to ensure the system runs reliably, without downtime or errors, after the transition. _Migration can take different forms:_ - Moving to new hardware. - Moving to a cloud environment. - Switching CRM, ERP or another enterprise system. - Replacing an old database with a modern one.

Unlike a regular integrations, migration is performed once and requires a clear plan. Project success depends on understanding that this is not mechanical copying, but a full transition _with configuration, testing, and fault tolerance._

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Why companies migrate systems Here are the key business reasons for the move: 1. Legacy systems. Legacy solutions are hard to maintain, do not receive updates, and integrate poorly with modern services. Supporting such a system costs more than replacing it. 2. Load growth and scaling. When the current platform cannot handle the load, the business grinds to a halt. A new environment provides capacity headroom and flexibility.

3. Regulatory requirements and import substitution. Legislation and regulatory requirements (for example, _FSTEC and the Bank of Russia_) in some cases require the use of domestic solutions and storing data in specified environments. 4. Combining data and systems. In mergers, reorganizations, or optimization efforts, fragmented data needs to be brought together on a single platform to simplify management and analytics. 5. Lower total cost of ownership (TCO).

Moving to modern platforms often reduces spending on hardware, licenses, and support staff. Large-scale system migration began about 15-20 years ago, when cloud technologies started to develop. Businesses needed to grow without constantly investing in their own servers, and companies began moving corporate email and CRM from local networks to the cloud. This helped reduce costs and make scaling easier.

Early projects showed that when migration is properly planned, it really improves efficiency and accelerates growth.

What is happening on the market now According to Security Code, about 60% CIS companies plan to fully switch to domestic network security solutions by the end of 2026. Analysts at Infosystems Jet clarify: 43% medium and large organizations have already started moving corporate communications to local platforms.

The shift is especially active in banking and telecom, where most import substitution has already been completed. Despite the progress, Western database management systems (DBMS) still account for about 60% market. This means major migration projects are still ahead. Demand for specialists and proven methods keeps growing, because any migration error can lead to failures, data loss, and financial damage.

Types of system migration and execution strategies

When people talk about migration, they mean different types of transitions, and each requires its own approach. One plan does not fit every case, so it is important to understand exactly what you are dealing with. Database migration- this is the transfer of information and business logic from one DBMS to another. The issue here is not copying files, but adapting everything related to them: SQL queries, stored procedures, triggers, and so on.

Different DBMS platforms interpret SQL and functions differently, so without proper adaptation, such migrations often lead to application errors. In most projects, the main effort goes into this adaptation, not into the data transfer itself. Application migration - this is the migration of the entire application layer (CRM, ERP, etc.) to a new platform or another vendor. The key is not just to move the functions "as is"; first you need to understand how the processes work today, then design how they should work in the new system.

Without this, it is easy to end up with a system that does not solve real business needs or does the same thing, but less efficiently. Cloud Migration means moving IT workloads to the cloud or between cloud providers. This can be a simple lift-and-shift without changes, an adaptation for cloud services, or a complete redesign of the application architecture for cloud operation.

The goal is to gain more flexibility and scalability and, in some cases, reduce costs by moving to subscription-based cloud services. Data center migration - a physical or virtual move of servers and network devices to another location. The main challenges are network settings: IP addresses, firewall rules, integrations, and connections. Without a detailed analysis of configurations and dependencies, services may stop interacting correctly after the migration.

Migration execution strategies The strategy determines how the transition will take place, affecting risk and timelines:

ApproachEssenceWhen to useMain risk
Big BangThe entire system is migrated at once, within a pre-planned windowSuitable for small and simple systems where downtime is acceptableHigh risk of errors that are hard to roll back quickly.
System-wide downtime.
Phased migrationThe system is migrated in parts: modules, functions, and data.For complex systems where stability is critical
and each stage must be verified
Longer timelines, the need to temporarily
maintain two environments at once
"Live" migrationMigration without service downtime,
often in virtual environments
For critical business services with requirements
toward continuous availability
Technically difficult to implement,
is not suitable for all application types

Important: during database migration to 80% the effort goes not into the migration itself, but into adapting code - _SQL queries, stored procedures, and triggers._ This is especially critical when moving to new platforms as part of import substitution. In many cases, the best option is hybrid approach: for example, use Change Data Capture (CDC) to synchronize data while gradually moving functional modules. This way, the business reduces downtime and lowers risks without overloading the team.

How to choose the right strategy Before choosing a migration strategy, answer 4 questions: 1. How much downtime is acceptable? If a system can be unavailable for at least a few hours, a full cutover is acceptable. But if the platform runs 24/7, such as an online bank or e-commerce store, downtime is unacceptable. In those cases, only a phased or live migration will work. 2. How complex and interconnected is the system? Simple services can be migrated all at once.

But if everything is interconnected, as in an old ERP where warehouse, finance, and orders run in one system, it is better to move in stages so you can catch errors quickly and avoid stopping everything at once.

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3. What volume of data needs to be migrated? Small volumes can be moved quickly. But tens of terabytes and frequently changing data, such as orders and customer profiles, will require either complex synchronization or a gradual move in stages. This reduces risk and load. 4. Are there resources to run two systems in parallel? Phased migration requires temporarily supporting both environments. If the team is small and there is no automation, this can be difficult.

If resources are available, a phased approach will be safer and more manageable.

Step-by-step migration plan: from preparation to stable operation

Let’s look at the migration process using the example of an auto parts manufacturer that is moving its production management system (MES) and databases to a modern domestic solution. 1. Analyze the current system The team thoroughly examines what you currently have. It is not enough to list servers and applications; you need to understand all the connections between them.

For MES, this means: - finding out who exchanges data with ERP, CAD, and other systems, and how; - checking which reports go to the warehouse and accounting; - tracing network connections so that "forgotten" dependencies are not missed. Problems often start with missing small but important links. If they are not found, part of the processes may stop working after the move. 2. Detailed design and preparation After the analysis, two main documents are prepared: the migration plan and the rollback plan.

The migration plan describes what will be moved and in what order, taking all dependencies into account. A rollback plan is needed in case something goes wrong - it shows how to quickly restore the system to working order. This is also where tools are selected and scripts are written to transform data. For example, scripts that convert old defect records into the format of the new database. 3. Testing At this stage, everything is verified in an isolated environment before touching production.

Both IT specialists and key users take part in testing: process engineers, shop floor managers, and those who work with MES every day. This helps catch errors early that are not visible on paper. The team checks: - whether data was transferred correctly; - how the system behaves under load (for example, at the end of a shift); - whether rollback works if it is necessary to return to the previous state. 4. Cutover to production The migration is carried out at a pre-agreed time, usually on weekends or at night, when load is minimal.

At this stage, all key users are involved: - administrators move servers and configure networks; - DevOps and developers run data processing and loading scripts; - business analysts make sure the processes in the new system reflect the company’s real tasks. Everything is done step by step as described in the plan, and the project manager ensures that the rollback plan is triggered if needed. 5. Validation and support after launch Switching to the new system is not the end of the work.

After launch, support teams and key users verify everything in real conditions: they run production jobs, check reports, and see how the system performs under real load. During the first week, close monitoring is important so hidden issues that did not appear in the test environment can be fixed quickly. Main risks and how to handle them Each stage of migration carries specific risks. Managing them means knowing in advance where they arise and having an action plan.

RiskWhen it happensHow to reduce risks
Loss or corruption of dataDuring development and migrationCreate a full backup. Run tests after each stage.
for data integrity and completeness.
Extended system downtimeAt the time of migrationUse a phased or hybrid strategy.
Plan and rehearse the entire transition scenario in advance.
Missed deadlines and budget overrunsAt the planning and design stageConduct a detailed audit of the current system.
Add a 15-25% buffer to the schedule and budget for unforeseen tasks.
Unaccounted dependencies between systemsBefore migration and immediately after launchAnalyze network connections and code.
Make sure the support team is ready to respond quickly.
The new system does not solve the business's real needsDuring design and testingInvolve business employees in the project.
Roll out the system gradually and collect feedback regularly.

Tools that help migration go quickly and without issues

The right tools save time, reduce risks, and make migration manageable. Automation is especially important here: fewer manual operations mean fewer errors and delays.

What is used in practice

At the preparation stage use infrastructure and dependency analysis tools such as Tiger Analytics or Device42. They automatically build a map of network connections and show which applications are linked to each other.

This helps avoid missing important integrations during planning. For data migration and processing use ETL/ELT platforms such as _Apache NiFi, Talend, or the CIS Plus7 FormIT solution._ They are used to configure data flows through a visual interface, clean and transform data, and verify that loading is correct. These tools speed up work by 5-8x compared with manual scripts. When migrating to the cloud it is convenient to use the providers' built-in tools - _Yandex Cloud, VK Cloud, SberCloud_.

They have ready-made migration services tailored to their platforms, which makes the move easier and reduces compatibility risks. If minimal downtime is required, especially during database migration, _CDC (Change Data Capture) technologies such as Debezium are used. They_ track all changes in the database and sync them to the target system without stopping operations.

What happens next

According to Gartner’s forecast?ref=vc.ru), by the end of 2026 more 70% of companies will use tools with AI elements at one or more stages of migration.

For example, machine learning-based systems already help automatically map data schemas and find matches between different solutions without human involvement.

Real migration examples: how companies move to new systems without disruption

Moving to another IT platform is not only a technology issue. What matters is how the process is planned: how long the migration will take, how to avoid disruptions, and how to keep business processes running. Let us look at two cases where companies successfully handled the task and minimized risks. 1.

How FM Logistic moved its CRM from Salesforce to Bitrix24 without stopping operations Task:CIS branch FM Logistic they needed to quickly move from Salesforce to a domestic CRM because of the risk of being shut down.

It was important to preserve the current operating logic, customer base, and familiar reports for marketing and managers, while keeping processes running. Solution:our experts audited the data and processes to understand which CRM elements were actually being used. In the new system "Bitrix24" set up a test environment, configured an equivalent entity structure, and recreated the key reports.

Access to the Salesforce API was limited, so the data was exported manually for testing.

The main work, development and testing, was completed before the old system was shut down, which helped maintain business continuity. Result: - In about 80 hours, the team deployed the new system and migrated the data. - The MVP went live in less than a month from project start. - All core processes and connections were preserved. - Employees kept working without changes to their familiar workflow. - The company got a stable CRM that does not depend on external vendors.

2: How Sportmaster moved corporate communications to a domestic platform Task:"Sportmaster" was looking for a robust internal communications solution for more than 10,000 employees and partners. Requirements: high security, stability, and support for mobile and desktop clients. The systems tested earlier did not fully solve the problem. How they solved it: the partner team selected the eXpress platform from the CIS software registry for the company. The solution is FSTEC-certified and deployed in a secure cloud.

Based on it, Sportmaster developed its own branded app. First, they ran a pilot and checked all scenarios. After successful testing, they began onboarding users gradually. Result: - In early 2025, the system went live for all employees. - More than 55,000 messages and 15,000 calls per day - with no outages. - The rollout was completed without stopping business processes. - Expansion is planned - integration with other IT services via SmartApps.

The result comes not from changing the platform itself, but from how well the transition process is organized. Preparation, understanding real business processes, validating solutions before launch, and a careful cutover help avoid downtime and data loss. In both examples, the companies did more than replace systems: they maintained operational stability and created a foundation for further growth and scaling.

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