A Developer’s Starting Point for Integrating with LLMs

Here’s what I know so far, from a lay-developer’s perspective (no AI or ML experience). So you’re a coder, and you’ve been asked to integrate with ChatGPT. What do you need to know? ChatGPT is an example of a Large Language Model (LLM). LLMs are a kind of machine learning (call it AI if you …

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Run the OpenTelemetry Collector in Kubernetes for Front-End Tracing

TL;DR: Run the OpenTelemetry Collector helm chart with –values=values.yaml pointing to the values.yaml in this gist. Use kubectl get services to find the collector’s URL. The rest of this blog post walks through the whole process of setting this up. This will teach you the why and how of each step, so that you can adjust it to your needs. There’s also …

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Five Measurements You Should Make and Then Ignore (Plus One to Watch Intently)

Are we succeeding as a software team?Well, if our job were feature delivery, we could look at the parade of JIRA tickets in our “complete” column. That is only part of our job, though.The purpose of a software team is to provide valued capabilities to customers, internal or external. To do that, our software has …

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startSpan vs startActiveSpan in OpenTelemetry JS

TL;DR: startSpan is easier and measures a duration. Use it if your work won’t create any subspans. startActiveSpan requires that you pass a callback for the work in the span, and then any spans created during that work will be children of this active span. I’m instrumenting a Node.js app with OpenTelemetry, and adding some …

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Honeycomb in Rails with separate dev and production events

Honeycomb made it suuuuuper easy to see traces of HTTP requests hitting my app. Right from my computer! We installed one gem, did one rails generate from a cut-and-paste their dataset creation page gave me. Start up rails server, hit http://localhost:3000, and boom! A thing on a graph in Honeycomb! That was cool. Except, um, …

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