What does Metoro do and what problem does it solve?
Metoro is a Kubernetes observability platform that provides automatic application performance monitoring, logging, tracing, and profiling. It solves the problem of complex, manual instrumentation by collecting telemetry via eBPF with zero code changes and a one-minute setup. The platform also uses AI agents to detect issues, investigate alerts, and identify root causes.
What key features and signals does Metoro offer?
Metoro offers a unified collector that captures seven telemetry signals: logs, metrics, traces, continuous profiling, Kubernetes events, Kubernetes resources, and deployment context. It features a single query language across all signals and is OpenTelemetry/Prometheus-compatible. Installation is via one Helm command in under 5 minutes.
How quickly can Metoro be installed and operational?
Metoro can be installed and be operational in under 5 minutes. The process involves a single Helm install command that deploys the collector as a DaemonSet, requiring no code changes, no SDKs, and no container restarts.
What is Metoro used for and in what situations?
Metoro is used for Kubernetes observability, including automated deployment verification, production issue detection, root cause analysis, and remediation. It is designed for situations where teams need to monitor microservices and cloud-native applications without adding SDKs or restarting containers.
Who is Metoro for?
Metoro is for developers, DevOps, and SRE teams working with Kubernetes clusters. It is specifically built for teams managing containerized applications across cloud providers like EKS, GKE, and AKS, as well as on bare-metal Kubernetes.
What is Metoro?
Metoro is an AI-powered Kubernetes observability platform that provides automated monitoring, logging, tracing, profiling, and issue remediation. It collects telemetry data via eBPF without requiring code changes and uses AI SRE agents to handle issue detection and investigation.