In today's digital world, companies often need to transfer or sync data across borders for different reasons, including collaborating with international partners, developing new local markets for business globalization strategy, or storing information in overseas servers for disaster recovery. There are many methods for cross-border data transfer (such as public networks and VPN). No matter what approach you choose, you cannot turn a blind eye to the huge costs and the risk of cyberattacks, which can lead to data breaches, loss of confidential information, and reputational damage for companies.
The article explains the best practice of using a cutting-edge product combo to help users transfer data in a safe, reliable, and cost-effective way.
Who Should Read This
You should follow this best practice if you want to do any of the following:
- Perform cross-border database migration and synchronization
- Build disaster recovery (DR) ability for business-critical databases
Topology & Workflow
The diagram below shows the resources and topology used in this best practice. It is performed based on the following workflow:
- Creating secure network conditions for data transfer through Cloud Enterprise Network (CEN)
- Configuring synchronization tasks between databases with Data Transmission Service (DTS)
- Verifying data and performing performance evaluation
Cloud Enterprise Network (CEN) is a highly available network built on the global private network of Alibaba Cloud. CEN uses transit routers to establish inter-region connections between virtual private clouds (VPCs). This enables VPCs to communicate with data centers and builds flexible, stable, enterprise-class networks on the cloud.
Data Transmission Service (DTS) is a real-time data streaming service. DTS supports data transmission between data sources (such as relational, NoSQL, and online analytical processing (OLAP) databases). DTS provides data synchronization, data migration, change tracking, data integration, and data processing features. This enables you to manage data within a secure, scalable, and high-availability architecture.
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