Modern software practices and cloud native technologies help teams ship software faster, more frequently, and with greater reliability. Unfortunately, modern teams now have more to monitor and react to—a wider surface area, rapidly evolving software, more operational data emitted across fragmented tools, and more alerts. There is more pressure than ever to find and fix incidents as quickly as possible—and prevent them from occurring again.
For many on-call teams, it still takes too much time to detect potential problems before they turn into incidents. Teams often work reactively, firefighting incidents while never finding time to implement processes that allow them to identify issues before they cause outages. With so many alerts, it’s increasingly hard to separate signals from noise, making response fatigue all too common.
Every minute that DevOps, site reliability engineering (SRE), and operations teams spend interpreting their telemetry data to detect anomalies, or manually correlating, diagnosing, and responding to incidents, is a minute that negatively impacts their service-level objectives (SLOs), their companies’ reputations, and their teams’ bottom lines.