Hyground vs Metoro
Metoro is a Kubernetes-native AI SRE that generates its own eBPF telemetry and ingests it into Metoro to detect, investigate, and auto-open fix pull requests. Hyground installs into your cluster and reasons over the Prometheus, Loki, and cluster data you already have, keeping telemetry and credentials in your network.
Metoro replaces instrumentation with kernel-level eBPF telemetry it collects and ingests into its platform, priced per node with per-gigabyte overage, then runs a fully autonomous loop that opens pull requests. Hyground does not collect or store your telemetry: it queries the observability tools you already run, from inside the cluster, and keeps the data and the AI loop in your network.
Architecture
Six choices that change where your telemetry lives, how autonomous the agent is, and how far it reaches.
Hyground reads from Prometheus, Loki, Elasticsearch, OpenSearch, and the Kubernetes API in place. Metoro generates its own eBPF telemetry and ingests it into Metoro, a second data platform to run, secure, and pay for by volume.
Hyground holds credentials behind an in-cluster gateway with platform-level RBAC and an audit trail, and never centralizes your telemetry. Metoro ingests cluster telemetry into its backend; keeping it in your environment requires the Enterprise BYOC or on-premises tier.
Hyground runs read-only by default, with actions gated behind explicit opt-in. Metoro's design point is autonomy: it detects deployments and opens fix pull requests automatically. That is powerful, but it is a different default posture.
Metoro is strictly Kubernetes-only by design. Hyground investigates Kubernetes deeply and also connects ITSM through bidirectional Jira and ServiceNow, reaching across your operations rather than a single platform.
Connect Hyground to Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or a self-hosted Ollama endpoint through LiteLLM. Metoro runs its investigations on its managed platform.
Hyground turns investigations into reusable skills you can schedule and automate across operations. Metoro focuses on the detect, root-cause, and fix-PR loop for Kubernetes incidents.
Decision
Metoro and Hyground overlap on autonomous Kubernetes investigation but bet differently on data and scope. Metoro brings its own telemetry; Hyground reasons over yours.
You already run an observability stack, want the agent and your data to stay in your network, prefer read-only by default, or need to reach beyond Kubernetes into ITSM and broader operations.
You are all-in on Kubernetes, want zero-instrumentation eBPF telemetry out of the box, and want a single vendor to collect the data and drive an autonomous fix-PR loop.
Try the sandbox or schedule a demo and watch the agent investigate against a real cluster.