AI-powered SRE platform that investigates production incidents, identifies root causes, and suggests fixes in minutes.
Scoutflo is an AI-powered Site Reliability Engineering (SRE) platform that helps engineering teams investigate and resolve production incidents faster. It sits on top of your existing tooling and correlates logs, metrics, traces, Kubernetes state, and deployments to pinpoint root causes with 94% accuracy. Scoutflo also provides GitOps-based Kubernetes deployment, infrastructure-as-code generation from natural language, multi-cloud support across AWS, GCP, Azure, and Civo, and built-in cost optimization tools.
Scoutflo is an AI-powered SRE (Site Reliability Engineering) platform that helps engineering teams investigate production incidents, identify root causes, and apply fixes faster. It also provides GitOps-based Kubernetes deployment, infrastructure-as-code generation, and multi-cloud management capabilities.
Scoutflo acts as an intelligence layer on top of your existing monitoring and observability tools. It correlates data from logs, metrics, traces, Kubernetes state, and deployment history to identify the most likely root cause of an incident. The platform provides evidence-based reasoning with confidence scores and can auto-execute fixes for known issues with configurable approval gates.
Yes, Scoutflo offers a free tier that includes up to 2 users, 3 applications, and 1 Kubernetes cluster with access to GitOps, IaC, and templates along with community support. Paid plans are available for larger teams, with a mid-tier supporting up to 20 users and 5 clusters, and an enterprise tier offering unlimited users and clusters.
Scoutflo currently supports AWS, GCP, Azure, and Civo. AWS has the most complete integration, while Azure and GCP support continues to expand. The platform is designed to prevent vendor lock-in by providing a unified interface across providers.
Scoutflo integrates with GitHub for GitOps workflows, Prometheus and Grafana for monitoring, Kubecost for cost optimization, and Slack for team notifications. It connects to your existing observability stack including APM tools, log aggregators, and tracing systems.
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