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Damaso Sanoja
2024-10-02 13:14:12 -04:00
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src/pages/how-to/db-workload-migration.mdx
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@@ -18,14 +18,15 @@ This guide introduces NetBird as a solution for secure and efficient workload mi
This approach not only bolsters security but also simplifies the migration process, making it faster and more reliable, crucial benefits for teams managing large-scale data transfers or frequent workload migrations across diverse environments.
To demonstrate how to set up and use NetBird for secure and efficient database workload migration, we'll:
To demonstrate how to use NetBird for securely migrating workloads to the cloud while maintaining access to on-premise databases, we'll walk through the following process:
* Set up a local PostgreSQL database with a sample table and a Python-based workload, simulating an on-premise environment.
* Migrate the Python workload to a cloud instance.
* Establish a secure connection using NetBird.
* Verify the migrated workload's access to the on-premise database.
* Set up a local PostgreSQL database with a sample table, simulating an on-premise data resource.
* Create a Python-based workload that interacts with this database, representing an on-premise application.
* Migrate the Python workload to a cloud instance, while keeping the database on-premise.
* Establish a secure connection between the cloud workload and on-premise database using NetBird.
* Verify that the migrated cloud workload can securely access and interact with the on-premise database.
This process illustrates a practical scenario of migrating workloads to the cloud while maintaining secure access to on-premise data resources.
This practical scenario illustrates how NetBird enables organizations to use cloud resources for workloads while maintaining secure access to sensitive on-premise data, facilitating a hybrid cloud approach to database workload migration.
## Prerequisites