AWS Database Migration Service is easy to use. In most cases, no drivers or apps are required, and no changes to the source database are required. With a few clicks in the AWS Management Console, you can begin a database migration. DMS manages all complexities of the migration process once it has begun, such as automatically replicating data changes that occur in the source database during the migration process. With the same ease, you can use this service for continuous data replication.
AWS Database Migration Service assists you in migrating your databases to AWS with minimal downtime. During the migration, all data changes to the source database are continuously replicated to the target, allowing the source database to remain fully operational. Following the completion of the database migration, the target database will remain synchronized with the source for as long as you specify, allowing you to switch over the database at a convenient time.
The AWS Database Migration Service can move your data to and from the majority of popular commercial and open-source databases. It supports both homogeneous migrations like Oracle to Oracle and heterogeneous migrations like Oracle to Amazon Aurora. Migrations are possible from on-premises databases to Amazon Relational Database Service (Amazon RDS) or Amazon Elastic Compute Cloud (Amazon EC2), from EC2 databases to RDS, and from one RDS database to another RDS database. It also supports data migration between SQL, NoSQL, and text-based targets.
DMS is a free migration service that can be used to migrate to Aurora, Redshift, DynamoDB, or DocumentDB. Other databases require payment according to the amount of log storage and computing power required to transfer.
A DMS task can be configured for either one-time migration or ongoing replication. A continuous replication task retains your source and target databases synchronized. Once configured, the ongoing replication task will continuously apply changes from the source to the target with minimal latency. Any replication task has access to all DMS features, such as data validation and transformations.
The AWS Database Migration Service is highly reliable and self-healing. It continuously monitors the source and target databases, network connectivity, and the replication instance. If the process is interrupted, it automatically restarts and resumes the migration from where it left off. By enabling redundant replication instances, the Multi-AZ option provides high availability for database migration and continuous data replication.
The source and target database engines are the same or compatible in homogeneous database migrations, such as Oracle to Amazon RDS for Oracle, MySQL to Amazon Aurora, MySQL to Amazon RDS for MySQL, Microsoft SQL Server to Amazon RDS for SQL Server, or MySQL to Amazon RDS for MySQL. This type of migration is a one-step process because the schema structure, types of data, and DB code are all compatible between the source and target databases. The source database can be placed outside of AWS on your own premises, running on an Amazon EC2 instance, or it could be an Amazon RDS database. The target could be an Amazon EC2 or Amazon RDS database.
Heterogeneous database migration occurs when the source and target database engines are not the same, like migrations from Oracle to Amazon Aurora, Microsoft SQL Server to MySQL, or Oracle to PostgreSQL. Because the schema structure and data types of the source and target databases differ, a schema and code transformation is required before migration, making it a two-step process.
For development purposes, AWS Database Migration Service can be used to migrate data both into and out of the cloud. There are two typical scenarios. The first step is to deploy development, test, or staging systems on AWS to benefit from the cloud's scalability and rapid provisioning. This allows developers and testers to use real-world production data copies and then copy updates back to the on-premises production system. The second scenario occurs when development systems are on-premises and a current copy of an AWS Cloud production database is migrated to these on-premises systems—either once or continuously. You can maintain an up-to-date representation of your production system while avoiding disruption to existing DevOps processes.
AWS Database Migration Service can be used to merge multiple source databases into a single target database. This is possible for both homogeneous and heterogeneous migrations, and it is compatible with all supported database engines. The source databases can be placed outside of AWS on your own premises, running on an Amazon EC2 instance, or being an Amazon RDS database. The source databases can also be distributed across various locations. One of the source databases, for example, could be on your own premises outside of AWS, while the second is in Amazon EC2, and the third is in an Amazon RDS database. The target could be an Amazon EC2 or Amazon RDS database.
AWS Database Migration Service can be used to operate continuous data replication. Continuous data replication has numerous applications, such as Disaster Recovery instance synchronization, geographic database distribution, and Dev/Test environment synchronization. For all supported database engines, DMS can be used for both homogeneous and heterogeneous data replication. The source or destination databases can be placed outside of AWS on your own premises, running on an Amazon EC2 instance, or being an Amazon RDS database. Data can be replicated from a single database to one or more target databases, or data from multiple databases can be consolidated and replicated to one or more target databases.
The business impact of cloud migration, including financial deltas (operation cost, scalability, and TCO) as well as dependent applications for homogeneous, heterogeneous, and consolidation environments.
To ensure that the target architecture meets/exceeds performance expectations, map out all data sources, schema interdependencies, and administrative requirements.
To help modernize as you migrate, use Amazon native tools to optimize database performance, replication, schema structure, and more.
Set up and carry out a zero-downtime transformation from the original sources of data to the target cloud environment, from data replication to full load and validation.
Create and manage dashboards for continuous monitoring, backup, recovery, and business continuity to ensure cloud migration provides predictably and consistently.
Analyze data growth as well as emerging integration needs on a continuous basis; keep up with your market and competitive environment as application and analytic use cases evolve.
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