The latest news from incident.io HQ

Are organizations finding value in the incident metrics they track?

We wondered: what metrics are organizations looking at to measure their incident response efficiency? To get some answers, we put together a survey and collected responses from some of the most respected companies around.

A practical approach to on-call compensation

Deciding how, and if, you're going to compensate folks for being on-call can be a tough conversation. Here, we outline several of the most common compensation structures you'll come across.

Running projects for AI features

In this article, Aaron the Technical Lead for the Post-incident team highlights the differences of running projects for AI powered features

Finding relationships in your data with embeddings

Spotting relationships in your data can be hard especially when that data is free text. Here's how we used LLMs and vector embeddings to quickly search through our data for similar topics and even concepts.

Building a GPT-style Assistant for historical incident analysis

What looks like making GPT-style assistant in a little over a month

Lessons learned from building our first AI product

If you're thinking of adding AI to your product, this is everything you should know in advance.

Supercharged with AI

Introducing our AI-powered features to enable incident responders to save crucial time, learn from previous incidents, and become more resilient over time.

Debugging Go compiler performance in a large codebase

In a big Go codebase, compiling all that code can get slower over time. This is how I figured out some bottlenecks and made our builds much faster!

Reflecting on a momentous 2023 at incident.io

With 2023 just about wrapped up, we wanted to take a look back on what was a special year at incident.io