Data Profiling and Analysis
Database sizes, table counts, engine types (engine), charset/collation structures, user permissions, and growth trends are measured.
MySQL migration is a service that involves transferring schema, data, user accounts, and authorization details to a new server or cloud service while ensuring data integrity and compliance criteria.
Simply exporting data with mysqldump and importing it to a new server can lead to significant data loss and prolonged downtime, especially in high-traffic or large-data environments.
The process includes detailed analysis of total data size, write traffic (IOPS), table engines (InnoDB, MyISAM, etc.), character sets (charset/collation), SQL modes, and version differences. The most suitable method—logical transfer (dump/restore), physical backup (Percona XtraBackup, etc.), or master-slave replication—is selected based on the organization's tolerable downtime (RTO/RPO) and technical compliance.
Database sizes, table counts, engine types (engine), charset/collation structures, user permissions, and growth trends are measured.
The target MySQL version, SQL mode parameters, character mismatches, and driver differences are examined for the target server.
Data, user definitions, and permissions are transferred to the target environment while maintaining data integrity according to the selected strategy.
Table/row counts, query outputs, checksum checks, connection pools, and read/write performance are tested.
Assess the current environment, target and dependencies
Document scope, risks, acceptance and rollback
Implement, validate and document
By setting up master-slave replication between the live database and the target server, the downtime window can be reduced to just a few seconds during the cutover phase. The exact technical approach is clarified after analyzing table structures and infrastructure.
Pre-verification of version and technical feature compatibility is required. Since MySQL and MariaDB have developed different architectural features and storage engines over time, they no longer support a direct drop-in replacement for each version.
At the end of the process, table and row counts are compared, checksum algorithms are used to verify data blocks, critical job queries are run, and acceptance tests are performed at the application layer.
We review your current environment, target and technical requirements in a 20–30 minute call. Scope, assumptions, deliverables and pricing are documented before work begins.
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