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:
| Approach | Essence | When to use | Main risk |
| Big Bang | The entire system is migrated at once, within a pre-planned window | Suitable for small and simple systems where downtime is acceptable | High risk of errors that are hard to roll back quickly. System-wide downtime. |
| Phased migration | The 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" migration | Migration 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.