Operations | Monitoring | ITSM | DevOps | Cloud

Like most things, our AI Assistant started out as an idea. One of our data scientists, Ed, was working with our customers to improve our existing insights. But the most common theme that kept surfacing was the wide-range of use cases that our customers wanted to use insights for. Using this user feedback as our inspiration, we came up with the idea of a natural language assistant that you can use to explore your incident data.

This week was a particularly exciting one for us at incident.io. We launched not one, not two, but four AI-powered features to help folks get the most out of their incidents. In this episode of The Debrief, we sit down with Ed Dean, Product Analyst, and Charlie Revett, Product Engineer, to talk through all of these features and discuss how they're already making a measurable impact. You'll also hear them talk about: You can learn more about our AI features here.

Every quarter, we host a roundtable discussion centered around the challenges encountered by incident responders at the world’s leading organizations. These discussions are lightly facilitated and vendor-agnostic, with a carefully curated group of experts. Everyone brings their own unique perspective and experience to the group as we dive deep into the real-world challenges incident responders are facing today.

The Continuous Compliance content hub is a set of guides for DevOps teams who need to move fast while remaining in compliance for audit and security purposes. We know that the old change management processes for software releases that happened once every 6 months don’t scale for DevOps teams who want to deploy every day. This is where Continuous Compliance comes in.

You may have outgrown Amazon CloudWatch. Perhaps you want something more robust than CloudWatch, which provides full-stack observability. Below, we’ll share a list of the proven, top CloudWath alternatives that can meet all your needs in one place.

Test-driven development (TDD) is a software development process that involves writing tests for your code before you write the code. This approach has transformed the development methodology around testing. While the traditional waterfall model of software development was linear, with testing occurring near the end of one long timeline, TDD makes testing an ongoing, iterative process.