wal-e VS debezium

See the GitHub: https://github.com/wal-e/wal-e

Unmaintained would’ve made more sense to say, but the maintainer choose the words “obsolete” so I took those. :)

Seems to be obsolete due to a lack of interest and contributions.

I believe the idea originally started with Wal-E project (https://github.com/wal-e/wal-e) since then there were many improvements to it and AWS no doubt has their own proprietary solution.

Hope this helps someone out there.

https://github.com/wal-e/wal-e

Running your own postgres server on AWS is not difficult. You'll want to get familiar with EBS and look into using a tool like wal-e to manage your WAL logs and ensure yuor ability to recover from the various exciting failure modes that Amazon makes available to you.

These read-replicas leveraged WAL segments created by the primary database; however, we didn’t want to bog down the primary database with each replica by reading directly from production. To circumvent this issue, we leverage wal-e, a tool that performs continuous archiving of PostgreSQL WAL files and base backups, and read replicas restored from s3 or gcs versus reading directly from the primary database.

Have a look at barman, pgBackrest or for maybe WAL-G or WAL-E

I am using the following docker image https://github.com/docker-library/postgres. I want the ability to make regular backups to my S3 bucket. PITR is not necessary but a nice to have. I've tried to use https://github.com/wal-e/wal-e but I've not found something that works very well with docker.

They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.

Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.

This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table

If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.

Debezium

https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.

Contrary to what it sounds, it’s quite straightforward. The database changes are captured via Debezium and published as events on Apache Kafka. ClickHouse consumes those changes in partial order by Kafka Engine. Real-time and eventually consistent.