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Having a DynamoDB table that isn’t global can be challenging when it comes to disaster recovery. If your table is local, a failure or data loss could significantly impact your applications. But don’t worry—there are simple ways to ensure your data stays safe and recoverable.
The key is to set up a backup and restore process that works smoothly for your table. Start by regularly backing up your DynamoDB table. AWS offers an easy way to do this with point-in-time recovery or manual backups. With point-in-time recovery, you can restore your table to any moment within a specified window, offering peace of mind in case of accidental data deletion or corruption.
Another good step is to create a secondary copy of your data in a different AWS region. This isn’t automatic, so you’ll need to set up a process to copy data from your primary table to a backup table in another region. You can do this using AWS Data Pipeline, AWS Lambda, or other manual scripting methods. Doing this will help ensure you have a copy of your data even if something goes wrong in your original region.
It’s also smart to automate these backups so they happen consistently without extra effort. Using scheduled scripts or AWS Data Pipeline, you can regularly copy your data, keeping your secondary copy up to date.
In the event of a failure, you can restore your data from backups or migrate the latest copy from the secondary region back to your main table. This process helps you get your system up and running quickly, minimizing downtime and data loss.
By setting up regular backups and cross-region copies, even non-global DynamoDB tables can be protected against disasters. This way, your application remains reliable, and your data stays safe no matter what happens.
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