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+This will be a very brief overview of our 2024 HackUTD hackathon project.
+There were a couple of very interesting sponsor prompts, and I'm still
+a little sad we never got the chance to use Pinata, we ultimately went
+with PNC's prompt, to build tooling for observability and data lifetimes.
+Of course, the word "observability" and "lifetimes" immediately caused us
+to think of Kafka. So, for our project, we decided to build a platform to
+model and display our end to end life cycle of our data cleanly and
+efficiently. To that end, with only one all-nighter pulled. We produced
+``Sauron`` (a very clever name I came up with my self, thank you very
+much). [Here is a link of
+a demo](https://www.youtube.com/watch?v=SM_0w7rKo2c) that due to time
+constraints we had to make before we could fully hook it up the Confluents
+instance that we were simulating our ETL on.
+
+Briefly, we used Terraform to spin up a Confluents instance, as well as
+several small python cli programs (orchestrated over k8) which acted as
+modular consumer-producers to simulate micro-services in our pipeline. We
+utilized some minimal (and very under documented) OpenTelemetry python
+instrumentation, written directly into the service, which hooked up to
+a Jaeger instance (also deployed on k8). Finally, we somehow (I was
+asleep) relayed the Jaeger data into our front end, which you could see in
+the video.
+
+Overall it was a very good, although exhausting hackathon, and we produced
+a very interesting project. I learned a lot, and was definitely the most
+hands on experience that I've had with Kafka. 

assets/sauron/sauron.toml

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+title = "Sauron"
+subtitle = "An only slightly hellish hackathon" 
+author = "Nico OR"
+content_path = "assets/sauron/sauron.md"
+link = "articles/sauron.html"
+date = "2024-13-9"