

Scoutflo is an AI-powered SRE platform designed to automate incident response and debugging for cloud-native applications. The platform serves as your AI SRE that handles alerts, finds root causes, and fixes issues quickly.
The platform offers automated root cause analysis with single-click investigation across logs, metrics, and traces. It provides multi-layer correlation from services down to Kubernetes events and delivers architecture-aware analysis that understands dependencies. Scoutflo includes AI-powered anomaly detection to identify problems before they impact users and offers intelligent correlation that connects signals across monitoring, logs, and infrastructure.
Scoutflo works through a four-step process: connect your infrastructure tools, detect and diagnose issues with AI-powered root cause analysis, remediate problems with automated fixes, and learn from incidents through continuous improvement. The platform features confidence scoring for root cause analysis and maintains an AI memory system that learns from every incident.
The platform reduces mean time to resolution dramatically through instant, explainable root cause analysis. It helps reduce alert fatigue by triaging what matters and focusing on critical issues. Scoutflo automates safe fixes with guardrails and approvals to ensure safe automation without risk.
Scoutflo targets fast-moving engineering teams and SRE teams working with cloud-native infrastructure. It integrates with Kubernetes, AWS, Sentry, Terraform/Git, CI/CD, Grafana, Datadog, Prometheus, Slack, and other infrastructure tools commonly used in DevOps environments.
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Scoutflo targets fast-moving engineering teams and SRE teams working with cloud-native infrastructure. The platform is designed for developers and technical teams who need to create, simulate, and manage AI-driven workflows visually. It serves organizations using Kubernetes, AWS, and other cloud infrastructure tools who want to automate incident response and reduce mean time to resolution.