Operations | Monitoring | ITSM | DevOps | Cloud

The dashboards are red, the alerts are firing, and Slack has officially become a war room. Someone has asked, "Anyone else seeing this?" and 14 people have immediately responded with screenshots. Welcome to another day in distributed systems. The recent GitHub outage is a great reminder of how complicated modern applications have become. Services talk to services, infrastructure scales up and down, retries multiply traffic, and dependencies behave in ways nobody expected. Thankfully, we have observability.

Decision intelligence (DI) combines behavioural science, data science, and artificial intelligence (AI) to automate and manage decision-making processes. It helps businesses from almost any industry optimise and develop forward-thinking processes, allowing them to put plans in place that predict and prevent potential problems. Decision intelligence systems go beyond the traditional methods of business intelligence (BI) that simply use data to describe and outline what is happening or has happened.

New engineers learn a runbook faster when they can see the shape of the procedure: what state the system starts in, what changes at each step, and where to stop. Reading the document still matters, because the maintained runbook remains the authoritative source. A short animated explainer can sit beside it during onboarding and show the order of state changes as simple schematics, without anyone recording a production dashboard.