With some time off over the holidays, I took the opportunity to do a deep dive into Google Analytics. This was prompted by an article by Erin Crane which I found quite interesting. Erin shows how putting some time into your GA setup can provide interesting insights about how your library website is used. It’s […]
I’d like to share a status update on the Open Journal Matcher. As I’ve mentioned before, I have a grant to refactor and make the OJM more sustainable. I’m considering two different approaches to the rewritten OJM. The first relies entirely on PythonAnywhere, while the second still involves Google Cloud Platform. This post describes where […]
Since (for now) the Open Journal Matcher is built without using a proper task queue, I’ve been spending a lot of effort handling the various errors thrown by my Google Cloud Function. This is both satisfying and annoying: it is nice to catch and handle each error properly, but it takes some digging to figure […]
Now that the Open Journal Matcher is live and receiving traffic, I’m wondering how much it is going to cost to keep running. There isn’t an obvious answer. Mostly this is because Google Cloud Functions scale with your project. This is definitely good for scalability and availability, but it makes it much more difficult to […]
I finally got a working prototype of my journal recommender project up and running; I just shared it with a few co-workers yesterday. However, it has been a bit of a journey to get here: I was only able to get the project finished by backing away from Google Cloud Platform. I won’t dwell on […]
The past few months have been humbling for me, programming-wise. I’ve struggled a lot with Google Cloud Platform, without much success. It’s been frustrating. It has also forced me to re-evaluate my progress as a programmer. The real issue has been that I failed at being a self-reliant problem solver. It’s one of the hallmarks […]
As I mentioned in an earlier post, I was granted a bunch of Google Cloud Platform credits. I’ve started using them, and here are my initial thoughts: There is a Cloud Platform service for most of the use cases I can imagine for my project. This means that there are a lot of options to […]
I recently found out that I got funding from Google for my journal recommender project. More than I expected, too. I had hoped to receive maybe $200 or $300 of Google Cloud Platform credits, but they gave me $5000 in credits, which was quite a surprise. This is good news for this project, because it […]
