In a recent post we walked through the steps required to use Tinybird to analyze Nginx logs. In this one weâll share how we are using our own product internally to analyze our own Nginx traffic in real-time and automatically, and how you can do it too.
To follow along, youâll need 3 things:
- A Tinybird account. Sign in if you donât have one yet.
- The code from this GitHub repo: it contains a Tinybird project Data source configurations and Pipes that will work out of the box.
tbtail
, a tool to stream your logs to Tinybird, installed in the machines where your Nginx logs are generated.
With that, you can quickly get a sense of whatâs going on with all your traffic in real-time, as well as examples for you to start slicing and dicing your logs in however other ways you want.
Weâre still in private beta, so after you sign in with Google, Github or Microsoft authentication, your account wonât be active. Email us at hi@tinybird.co and weâll activate it for you.
Run these commands to clone the data project locally, replicate it on Tinybird and have everything set and ready for tbtail
to start sending logs to your account:
The last thing is installing tbtail
. The details on how to do it are in its repo. We published deb and bin packages, and you can also compile it from source.
After itâs installed, you just need to run this command in the machine where the Nginx logs are created to send logs to Tinybird automatically.
Then, if you go to your dashboard, youâll see a new pipe called query_grouped_requests
. It defines an endpoint that lets you query your aggregated data. In the Pipe, you can click on the green âView APIâ button on the top right corner of the page to see its live documentation.