Google Cloud has published a blog post discussing how to accelerate PostgreSQL migrations to Google Cloud using the Database Migration Service (DMS). The post provides an overview of the challenges of large database migrations, such as increased replication lag, transaction wraparound on the source, and increased WAL log size.
The post then presents three key methods for improving migration speed:
1. **Parallel initial load and CDC using DMS:** By leveraging the PostgreSQL multiple subscriptions feature in DMS, users can migrate data in parallel connections, speeding up both initial load and CDC operations.
2. **Configure PostgreSQL database parameters in the source and target:** Tuning database parameters such as max_wal_size, pglogical.synchronous_commit, wal_buffers, maintenance_work_mem, max_parallel_maintenance_workers, max_parallel_workers, autovacuum, and shared_buffers can significantly improve migration speed.
3. **Optimize machine and network configurations:** Machine size and network configuration can significantly impact migration speed. The post recommends using larger machine tiers for the destination, leveraging private IPs, allocating sufficient disk space, and optimizing network throughput.
The post also provides insights into how these optimizations work, as well as some limitations to consider. Overall, this post offers valuable guidance for organizations looking to accelerate their PostgreSQL migrations to Google Cloud using DMS.
