Operations | Monitoring | ITSM | DevOps | Cloud

The post-mortem problem

Post-mortems are required, time-consuming, and widely disliked — but they’re also one of the biggest opportunities to improve reliability. In this webinar, we talked about how to run post-mortems that actually lead to learning and improvement. This covered why most post-mortems fall flat, how to structure them effectively, and walk through a real example to show what good looks like in practice. The goal: fewer wasted hours, better outcomes, and post-mortems that actually matter.

Everything you need to know about ITIL 5, AI and incident management

ITIL 5 launched in January 2026, and for the first time in the framework's 40-year history, AI governance is front and center. If you're running incident management, on-call rotations, or building operational tooling, this matters: the gap between AI adoption and AI governance is about to become a compliance and operational risk issue. I’m not usually a big ITIL fan, but this guidance has some genuinely useful framing and questions.

DevEx matters for coding agents, too

The speed at which you can go from making a change in your code, to understanding if it actually works, has long been a popular topic of discussion (and often, humour) for engineers. This remains true in a world with AI. Developer experience isn't just important for humans anymore. Those agents we're all using hundreds of times a day? Feedback cycles matter just as much for them, if not more.

2025 founders year in review: insights, highlights, and future plans

Three founders, one kitchen table, and a very honest end of year conversation. In this episode we look back on 2025, from moving continents and growing the company at pace, to ski trips that probably should not have happened, live demos that absolutely could have gone wrong, and the small moments that made the year memorable.

Stop choosing between fast incident response and secure access

Every production system will eventually break. It's not pessimism, it's just reality. That's why engineers go on-call, and why companies invest heavily in incident response tooling. But here's the problem: the moment an engineer goes on call, they typically need elevated access to production systems, databases, and sensitive customer data. And that elevated access? It's often permanent, overly broad, and a security nightmare waiting to happen.

Bloom filters: the niche trick behind a 16× faster API

This post is a deep dive into how we improved the P95 latency of an API endpoint from 5s to 0.3s using a niche little computer science trick called a bloom filter. We’ll cover why the endpoint was slow, the options we considered to make it fast and how we decided between them, and how it all works under the hood.

Weaving AI into the fabric of the company | incident.io

At incident.io, we’ve spent the past year shifting how we work to incorporate the AI into both how we build and what we build. The result? AI has become a fundamental pillar of our company. This is the story of how we built reliable AI for reliability itself — reshaping how teams manage and resolve incidents. From early experiments to a company-wide culture of building with AI, this is how we’re redefining incident response for the future.