Introducing Watchtower AI RCA
Released on: April 2026Atatus Watch Tower is an AI-powered anomaly detection and root cause analysis engine that automatically identifies performance issues, error spikes, and latency problems across your entire stack without requiring manual threshold configuration.
By continuously learning from your applications real traffic patterns, Watch Tower distinguishes genuine anomalies from normal variation, enabling engineering teams to detect and resolve incidents before users are ever impacted.
Key Features of Watch Tower in Atatus:
- AI-Powered Anomaly Detection: Automatically detect latency spikes, error surges, and throughput drops across APM transactions, logs, and infrastructure metrics without creating manual alert rules.
- Automated Root Cause Analysis: Trace failures across service dependencies, distributed traces, and infrastructure metrics like CPU, memory, and disk usage to identify the exact root cause in seconds.
- Dynamic Baseline Learning: Build intelligent baselines using 6+ weeks of historical latency, throughput, and error rate data. Baselines continuously adapt to traffic trends, daily usage cycles, and seasonal variations without manual tuning.
- Multi-Signal Impact Analysis: Correlate anomalies across latency, throughput, and failure rates to measure the real impact of degradation. Instantly identify affected services, endpoints, and user segments with precise visibility into performance issues.
- Incident History & Pattern Recognition: Access 6 months of anomaly history categorized by service and severity. Detect recurring incidents, filter by status or timeframe, and track resolution progress to reduce repeat failures.
- Full-Stack Telemetry Coverage: Monitor APM traces, infrastructure metrics, and log streams from a single unified platform. Every alert provides complete context including impacted microservices, exhausted resources, and related logs without switching tools.
Monitor your software stack for free with Atatus.
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