We care a lot about the pace of shipping at incident.io: moving fast is a fundamental part of our company culture, and out-pacing your competition is one of the best ways we know to win. In engineering teams, one way to ship fast is to invest in tools that make your team more productive. We've become good at identifying small pains and frustrations that slow us down over time and – after surfacing them to the rest of the team – find solutions for them.

It’s 10am, your coffee is ready and piping hot, and you have just been paged. Looks like is down, and customers are starting to notice. With no time to lose, you open up your organization’s incident declaration form and you spend the next thirty minutes filling out the fifteen required fields, while the incident grows bigger and more complex, messages are rolling in, and your coffee grows cold.

Data teams are adopting more processes and tools that align with software engineering, and from talks at the dbt Coalesce conference in 2023, there’s clearly a big push towards adopting software engineering practices at enterprise scale companies. At the moment, there are a lot of tools in the data space for identifying errors in data pipelines, but no tools for responding to these errors, such as coordinating fixes. This is exactly where an incident management platform makes sense to implement.

Incident management tools are often built for engineers to solve technical issues. On the surface, thinking of incident management as an engineering problem makes sense, and it’s an approach that’s widely used by many organizations from small startups to large enterprises. When there's a problem like a checkout page failure or a server crash, it’s natural for engineers to spring into action, declaring and resolving these incidents.