Building your own DIY agent for incident resolution?

Building your own DIY agent for incident resolution?

Building your own DIY agent for incident resolution?

Hyground vs

incident.io

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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 all of the investigating, from inside the cluster, where the model and the credentials stay on your side of the boundary, and leaves the coordination to your incident platform.

A fair starting point

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.

Side by side

Hyground vs

incident.io

at a glance

What matters

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, with on-call on top.

Swipe to compare

Why teams choose Hyground

Where Hyground differs

Decision

When each platform fits

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.

Choose

incident.io

when

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.

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See Hyground in action

See Hyground in action

See Hyground in action

FAQ

Hyground vs

incident.io

:

common

questions

Is Hyground an alternative to incident.io?

For the investigation, yes, and Hyground runs it inside your own cluster. incident.io runs the incident lifecycle, and its Investigations agent reasons in incident.io's cloud. Hyground does the investigating and posts the findings back into the incident channel.

Do we have to replace incident.io?

No. incident.io keeps on-call, alert routing, response, post-mortems and status pages, the alert goes to Hyground, and the investigation is posted back into the incident channel.

How deeply does Hyground read our cluster?

Fully, from inside it. Hyground has the whole cluster API, read-only and RBAC-scoped, alongside Prometheus, Loki, Elasticsearch, OpenSearch, Jaeger and InfluxDB, under one gateway and one audit trail. incident.io lists and describes cluster resources from its own cloud, through credentials from your cloud account or a kubeconfig.

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. incident.io chooses between OpenAI, Anthropic and Google Vertex for you, and none of them is self-hosted.

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 you get a quote on request.