Atatus

Atatus is an AI-powered observability platform that brings application performance monitoring, log management, real user monitoring, infrastructure monitoring, and SIEM into a single system. It is designed to help teams detect, diagnose, and resolve production issues by correlating traces, logs, metrics, and security events across their stack, with the stated goals of reducing mean time to resolution and lowering monitoring costs.

Core capabilities include distributed tracing and service dependency mapping, database query analysis with N+1 detection, external API monitoring, continuous profiling, and baseline-aware alerting with Slack, PagerDuty, and OpsGenie integrations. The platform also offers Kubernetes-native infrastructure monitoring across AWS, GCP, Azure, and on-premises environments, OpenTelemetry-native ingestion, adaptive sampling, and an AI SRE assistant that generates root cause analyses and remediation recommendations. Cloud SIEM features cover log ingestion from sources such as Apache, PostgreSQL, Kubernetes, WAF, and CloudTrail, along with file integrity monitoring and compliance scorecards for SOC2, PCI-DSS, HIPAA, ISO27001, and GDPR. LLM observability tracks token usage, model latency, prompt cost, and error rates for OpenAI, Anthropic, and Bedrock.

Atatus is aimed at engineering, SRE, and security teams managing modern applications and cloud infrastructure. It is available as SaaS, on-premises, hybrid, or bring-your-own-cloud deployments, with a free trial offered. Pricing is described as flat-rate and per-host, covering APM, logs, RUM, and infrastructure without per-signal billing or log volume penalties.