Relying on traditional observability tools to detect, alert on, and troubleshoot issues presents several shortcomings, including:
Slow Time to Identify: Massive data volumes must be centralized and analyzed before alerts are triggered.
Manual Detection: Teams manually created monitors and alerts. These are time-consuming and make it impossible to catch every issue.
Manual Troubleshooting Processes: When an alert fires, engineers must manually sift through logs to determine the root cause of the issue.
In addition to these shortcomings, teams frequently experience alert fatigue, leading to missed alerts or delayed responses.