Hyground vs
Metoro
Hyground vs Metoro: reason over the observability stack you already run
Metoro runs its own eBPF collector, stores what it gathers, and puts an autonomous Kubernetes agent on top, with cloud, bring-your-own-cloud and air-gapped on-premises deployment options. Hyground collects nothing. It installs into your cluster and reasons over the Prometheus, Loki and cluster data already sitting there.
A fair starting point
Metoro is a Kubernetes observability platform with an autonomous SRE agent on top. It installs in about a minute, generates its own eBPF telemetry with no code changes, and then detects issues, verifies deployments and investigates alerts on its own. It runs in their cloud, in your cloud, or fully air-gapped on your own hardware, and you can point its agent at your own AWS Bedrock keys and pay AWS directly for the model. So the two arguments we used to make against them, deployment and model choice, no longer hold. What still separates the products is the data. Metoro asks you to run a second telemetry platform and pay by node and by volume. Hyground reads the observability stack you already run, and stores none of it.
Side by side
Hyground vs
Metoro
at a glance
What matters
Hyground
Metoro
Where your telemetry lives
In the tools you already run. Hyground queries them in place and stores no telemetry of its own.
In Metoro. Its agent generates eBPF telemetry and ingests it, with 28 days of retention by default.
Instrumentation
None supplied. Hyground reads whatever your stack already emits.
Kernel-level eBPF from a one-minute Helm install, seven signals with no code changes.
LLM choice
Any provider through LiteLLM: a cloud model in your own tenant, a self-hosted model, or any OpenAI-compatible API.
AWS Bedrock, with your own keys or Metoro's. Their documentation describes no other provider and no self-hosted option.
Scope
Kubernetes plus cloud accounts, databases, ticketing, source control and your own documentation. Our engineers build any other connector that you need with you during onboarding.
Kubernetes, deeply. The product and its documentation are built around the cluster.
Where it runs
Entirely in your own Kubernetes cluster, on-premises and air-gapped included.
Metoro's cloud, your own cloud under their management, or on-premises and air-gapped.
What the agent changes
Nothing by default. Hyground diagnoses and recommends, and changes happen only if you enable them.
Detects issues, verifies deployments and proposes code fixes, with an approval step before an agent action runs.
Your documentation and runbooks
Confluence Cloud and on-premises, up to 100 Git repositories, Artifactory and uploaded files, embedded inside your cluster.
Runbooks the agent follows during an investigation.
Pricing model
Priced on infrastructure size, not seats. Quote on request.
Per node, plus data volume.
Why teams choose Hyground
Where Hyground differs
Decision
When each platform fits
Both products investigate Kubernetes autonomously. The question is whether you want the agent to bring its own telemetry platform or to read the one you already run.
Choose
Metoro
when
You want the observability and the autonomous agent from the same vendor. eBPF telemetry with no instrumentation work is worth paying for, your world is Kubernetes, and per-node pricing with a free tier suits how you buy.
FAQ
Hyground vs
Metoro
:
common
questions
Is Hyground an alternative to Metoro?
Yes, if you already run an observability stack. Hyground investigates across the Prometheus, Loki, Elasticsearch and cluster data that you already have, from inside your cluster, and adds no telemetry platform of its own. Metoro brings its own eBPF telemetry platform and investigates the data that it stores.
Do we have to replace our observability stack?
No. Hyground reads Prometheus, Loki, Elasticsearch, OpenSearch, Jaeger, InfluxDB and the Kubernetes API where they already run, and stores none of that data, so your observability spend stays where it is. With Metoro, the agent works on the eBPF telemetry that Metoro collects and stores, which is a second platform next to the one that you run.
Can Hyground investigate beyond Kubernetes?
Yes. Hyground reaches AWS and Azure accounts, PostgreSQL, MongoDB, Redis and ClickHouse, Jira and ServiceNow, GitHub and GitLab, and your own Confluence and Git documentation, all in one investigation. Our engineers build any other connector that you need with you during onboarding. Metoro's product and documentation are built around the cluster.
Can we choose the model, or host it ourselves?
Yes. Hyground connects to any LLM provider through LiteLLM, including a cloud model in your own tenant or a model that you host yourself. Metoro's agent runs on AWS Bedrock.
How do we get Hyground running, and what does it cost?
A forward deployed engineer works with your team from install to daily use. The engineer connects your stack, builds any connector that you are missing, and runs the training and workshops. Hyground is priced on the size of the infrastructure that it covers, not per seat, and adds no storage of its own for you to pay for. You get a quote on request.