Tutorial - conclusion

What have we seen?

In this tutorial, you got a glimpse of how Gallium Data can intercept the traffic between database client and database server, and modify this traffic. This enables you to:

  • change the behavior of existing applications and databases without changing either the application or the database

  • catch unwanted or inefficient requests and change or reject them

  • tailor database responses to your exact needs, with a level of precision that would be almost impossible otherwise

  • monitor all traffic to and from the databases and react to whatever events are relevant to you

  • have a control point in front of your databases, which can run customized logic for your specific needs

Gallium Data has a number of pre-defined filters, but it also makes it easy to create your own filters and be as sophisticated as you want.

Now, the question is: how will you use it?

What to do next

We encourage you to take Gallium Data for a spin with your own database(s). It's always more interesting to work with your own data than with demo data.

The tutorial project contains several other filters, but they are not active. You can take a look at them and try to activate them:

Gallium Data is free, so you can use it as much as you want, on your machines, servers, in the cloud, wherever.

Consult the documentation for all the gritty details, such as how to use the debugger, or the API for various types of database packets.


Once you're done with this tutorial, and you want to remove everything that was installed,

⇨ Execute the following commands from a command line:

docker stop gallium-data
docker stop pgadmin-gallium
docker stop postgres-gallium
docker network rm gallium-net

This will stop all the Docker containers started during this tutorial.

If you also want to remove the Docker images:

docker rmi galliumdata/gallium-data-demo-pgadmin:6
docker rmi galliumdata/gallium-data-engine:1.3.2-1267
docker rmi galliumdata/gallium-data-demo-postgres:4

This will remove everything installed by this tutorial.

We'd love to hear from you -- good or bad! Please drop us an email and let us know if you have any questions or comments.

feedback at gallium data dot com