Hyground vs.

Hyground vs incident.io: the investigation runs inside your cluster
incident.io runs the incident itself: response, on-call and status pages. Its Investigations agent now reads your cluster, your logs and your metrics too, and it does that from incident.io's cloud. Hyground does none of the coordination and all of the investigating, from inside the cluster, where the model and the credentials stay on your side of the boundary.
Ein fairer Start
incident.io is a full incident platform, and its Investigations product is a serious piece of work. It reads live Kubernetes state and queries Prometheus, Loki, Elasticsearch, OpenSearch, Datadog, Splunk and around twenty other sources. It grades its own confidence, links every finding to the evidence behind it, and can open a pull request that a human reviews and merges. Its models run under zero-data-retention agreements, and code analysis happens in sandboxed containers. All of that runs in incident.io's cloud, against credentials you hand over. Hyground covers only the investigation, and runs all of it inside your cluster.
Seite bei Seite
Hyground vs.
incident.io
auf einen Blick
Was eine Rolle spielt
Hyground
incident.io
Where it runs
Entirely in your own Kubernetes cluster, on-premises and air-gapped included.
In incident.io's cloud. Connectors reach into your systems from there.
Where your telemetry and credentials go
Both stay in your cluster. The only traffic leaving is the call to the model provider you choose.
You connect your sources to incident.io, and queries run from their cloud. Sensitive data can be redacted before it reaches a model.
LLM choice
Any provider through LiteLLM: a cloud model in your own tenant, a self-hosted model, or any OpenAI-compatible API.
OpenAI, Anthropic and Google Vertex, chosen by incident.io, under zero-data-retention agreements. No customer choice documented.
Kubernetes access
The full cluster API from inside the cluster, read-only and RBAC-scoped.
Read-only list and describe, discovered through your AWS or Google Cloud account or a kubeconfig you supply.
Code changes
Hyground reads GitHub and GitLab and writes nothing to them. It recommends the change; a person makes it.
Opens a pull request you review and merge, or hands the change to your own coding agent. It never merges or deploys.
On-call, response and status pages
Not offered. Hyground takes the alert and hands findings back to whatever runs your incidents.
The whole lifecycle: on-call schedules, alert routing, incident response, post-mortems and status pages.
Your documentation and runbooks
Confluence Cloud and on-premises, up to 100 Git repositories, Artifactory and uploaded files, embedded inside your cluster.
Runbooks and reference docs you give Nexus, searchable from the agent and held in their cloud.
Pricing model
Priced on infrastructure size, not seats. Quote on request.
Per user per month, from a free tier to Enterprise, with on-call priced per user on top.
Warum Teams Hyground wählen
Wo sich Hyground unterscheidet
ENTSCHEIDUNG
Wann welche Plattform passt
These products overlap on investigation and nowhere else. incident.io runs the incident; Hyground runs the investigation inside your cluster. The decision is usually about what your security review will accept, not about features.
Wählen Sie
incident.io
wenn
You want on-call, response, post-mortems and status pages in one platform. A SaaS control plane is acceptable. And you want investigations that reach your telemetry and can open a pull request without you assembling any of it yourself.
FAQ
