A few months back, I gave a Kobo a try. I’m still really enjoying it. At the time, I was using a script on the Kobo + Dropbox to sync annotations. But it was a little heavy (to send the entire database) and tended to fail silently. Plus, I had to use a second script to take the exported database and actually turn it into Markdown I could easily read and share.

So I took a chance to make that a bit better!

The code for this is available on Github here: https://github.com/jpverkamp/kobo-highlights/

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I’ve recently been trying out a Kobo. Amazon has some issues and Kindles are hard to do any amount of customization to, let’s just leave it at that.

So what fun tricks can one do with a Kobo?

Well, for one, it’s a Linux system. And if you attach it to your computer, you get access to a lot of the local filesystem. This includes the SQLite database holding all of teh system metadata, along with places to install all sorts of interesting scripts.

One that I’ve been wanting in particular is the ability to extract my annotations. It’s a great way to review books. Highlight, write a note, and then export right at the end.

So how do you do that on a Kobo?

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Datadog is pretty awesome. I wish I had it at my previous job, but better late than never. In particular, I’ve used it a lot for digging through recent logs to try to construct various events for various (security related) reasons.

One of the problems I’ve come into though is that eventually you’re going to hit the limits of what datadog can do. In particular, I was trying to reconstruct user’s sessions and then check if they made one specific sequence of calls or another one. So far as I know, that isn’t directly possible, so instead, I wanted to download a subset of the datadog logs and process them locally.

Easy enough, yes? Well: https://stackoverflow.com/questions/67281698/datadog-export-logs-more-than-5-000

Turns out, you just can’t export more than 5000 logs directly. But… they have an API with pagination!

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