Hyground vs
Hyground vs Rootly: investigation that runs inside your cluster
Rootly runs the whole incident lifecycle, and its AI SRE investigates alerts through read-only connectors into around twenty-seven of your tools. All of it runs in Rootly's cloud. Hyground does none of the lifecycle, and runs the investigation inside your cluster against a model you pick yourself.
A fair starting point
Rootly is a complete incident platform: paging, response in Slack or Teams, retrospectives, status pages, and an AI SRE that investigates alerts on its own and hands back a likely root cause. The agent is scoped tightly. It can do only what the person who asked could do themselves, it is audited under that person's name, and its connectors are read-only across observability, cloud, code and documentation. If residency is the sticking point, Rootly will route AI requests through your own Azure OpenAI deployment. None of that changes the location. The agent reasons in Rootly's cloud, against credentials you hand it. Hyground covers the investigation only, and every part of it runs inside your cluster.
Side by side
Hyground vs
Rootly
at a glance
What matters
Hyground
Rootly
Where it runs
Entirely in your own Kubernetes cluster, on-premises and air-gapped included.
In Rootly's cloud. An Edge Connector reaches internal systems by outbound-only polling.
Where your telemetry goes
Nowhere. It is queried in place, and the only traffic leaving is the call to your model provider.
Connectors query your tools from Rootly's cloud, read-only, with per-connector limits on what each may read.
LLM choice
Any provider through LiteLLM: a cloud model in your own tenant, a self-hosted model, or any OpenAI-compatible API.
Rootly's own models, or your own Azure OpenAI deployment for incident workflows. No self-hosted option.
Kubernetes access
The full cluster API from inside the cluster, read-only and RBAC-scoped.
Through the AWS connector with EKS support, read-only, from Rootly's cloud.
What the agent can change
Nothing in your infrastructure. Hyground diagnoses and recommends.
In Slack it pages responders, updates the incident, assigns roles and drafts comms, capped at the asking user's own permissions.
On-call, response and retrospectives
Not offered. Hyground takes the alert and hands findings back.
The whole lifecycle on every plan: paging, response, retrospectives, status pages and workflows.
Your documentation and runbooks
Confluence Cloud and on-premises, up to 100 Git repositories, Artifactory and uploaded files, embedded inside your cluster.
Confluence, Notion, GitHub and GitLab, read through connectors during an investigation.
Pricing model
Priced on infrastructure size, not seats. Quote on request.
Per user per month, from twenty dollars, with every major feature on every plan.
Why teams choose Hyground
Where Hyground differs
Decision
When each platform fits
Rootly runs the incident; Hyground runs the investigation inside your cluster. They overlap on the diagnosis and nowhere else, so the decision is usually about what your security review will accept rather than which feature list is longer.
Choose
Rootly
when
You want paging, response, retrospectives and status pages in one platform, with nothing sold as an add-on. You can live with a SaaS control plane. And you would rather the AI sat inside the tool your incident process already runs on.
FAQ