Simple Observability shifts focus from dashboards to actionable alerts

Simple Observability has published new documentation arguing that the core of infrastructure monitoring lies in alerts rather than dashboards. The company contends that while teams often associate monitoring with hooking up metrics and building visual artefacts for offices, these dashboards rarely serve the daily operational needs of engineers. Instead, the firm asserts that alerts form the backbone of operations, yet they are frequently treated as an afterthought in most monitoring platforms.

The guidance warns that starting alert configuration with existing metrics often results in noisy, untrustworthy systems. By relying on available data points like CPU usage to set thresholds, teams tend to adopt conservative settings that generate excessive noise. This approach frequently leads to alert fatigue, a phenomenon where the volume of false or low-priority notifications causes teams to ignore the monitoring system entirely. The company describes this as a scenario where the entire team stops trusting the system because the volume of alerts makes it impossible to discern actual issues.

To counter this, Simple Observability recommends building alert rules based on first principles by identifying specific service failure behaviours rather than relying on pre-existing data points. The firm suggests asking what specific behaviour indicates a service is failing for a user or predicting that it is about to fail. While the company provides a catalogue of alert templates to jumpstart configuration, these are intended as a foundational starting point rather than a tailored solution for every environment.

A central tenet of the new strategy is a strict zero-tolerance policy for false alarms. The documentation states that if an alert cannot trigger a required human intervention, it should not exist. Teams are advised to enforce a rule where ineffective alerts are either deleted or refined until they only fire when intervention is necessary. This ensures that every notification is actionable and prevents the steady hum of background pings that leads to operational blindness.

The firm also proposes treating alert rules as living code that requires iterative hardening and maintenance, similar to unit testing in software development. Instead of trying to architect a perfect system from the outset, organisations should design a process that makes their monitoring smarter over time. By pushing this iterative system as a team, alerts become a core part of engineering culture, with the goal of making rules more robust every week while reducing the total number of incidents.

This shift in philosophy marks a departure from viewing dashboards as first-class citizens in monitoring platforms. Simple Observability argues that the real value lies in creating a system that teams actually trust, moving away from visual charts that serve as office art toward a functional framework that drives immediate, necessary action.