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

PagerDuty SRE Agent

Hyground vs Dash0

Hyground vs PagerDuty SRE Agent: an agent that reads the cluster, not just the incident

PagerDuty SRE Agent works inside the incident record, where it reads your runbooks and pulls logs from the eighteen tools it connects to, all from PagerDuty's cloud. Hyground installs into your cluster and queries the cluster API, Prometheus and Loki from inside it, so your credentials stay where they already are.

A fair starting point

PagerDuty SRE Agent sits where the incident already lives, and that is a real advantage. It joins from the Operations Console, the incident page, Slack or Teams, and you can put it on an escalation policy, so it starts triaging before a human arrives. It ingests your runbooks, remembers past incidents, and now connects to eighteen tools including Datadog, Splunk, Dynatrace, New Relic, Elasticsearch and Grafana, reaching all of them from PagerDuty's cloud. Paging and the incident lifecycle are its home turf, and Hyground does not compete for them. It runs inside Kubernetes, reads the live state there, and hands its findings back to whatever pages you.

Side by side

Hyground vs

PagerDuty SRE Agent

at a glance

What matters

Hyground
PagerDuty SRE Agent

Where it runs

Entirely in your own Kubernetes cluster, on-premises and air-gapped included.

In PagerDuty's cloud, as an add-on to the PagerDuty platform.

Where your credentials live

Inside your cluster, behind one gateway, managed at platform level rather than per laptop.

Held in your PagerDuty account, one connector at a time, so the agent can query each tool.

LLM choice

Any provider through LiteLLM: a cloud model in your own tenant, a self-hosted model, or any OpenAI-compatible API.

PagerDuty runs the models. Their documentation describes no way to choose or self-host one.

Where the query runs

Inside the cluster. Hyground queries the cluster API, Prometheus, Loki, Elasticsearch, OpenSearch, Jaeger and InfluxDB in place.

From PagerDuty's cloud, through the connectors you configure in your PagerDuty account.

Commercial observability connectors

None first-party. Commercial tools connect through custom MCP servers.

Eighteen connectors including Datadog, Splunk, Dynatrace, New Relic, Honeycomb, Sumo Logic, Coralogix and Sentry.

On-call and the incident lifecycle

Not offered by design. Hyground takes the alert and hands the findings back.

The platform of record: schedules, escalation policies, paging and the lifecycle around them.

What happens to the fix

Hyground diagnoses and recommends. A person makes the change.

Recommends diagnostic and remediation steps and saves playbooks for recurring issues. A person makes the change.

Pricing model

Priced on infrastructure size, not seats. Quote on request.

PagerDuty Advance, either as a plan add-on or as one-time AI Actions. Each SRE Agent request or nudge spends four AI Actions.

Swipe to compare

Why teams choose Hyground

Where Hyground differs

Decision

When each platform fits

These are not the same kind of product. One is an AI add-on inside the on-call platform of record; the other is an investigation agent that lives in your cluster. Most teams that pick Hyground keep PagerDuty.

Choose

PagerDuty SRE Agent

when

You want the agent where the incident already lives, on an escalation policy and in the incident record, your observability tools are the commercial ones it already connects to, and you would rather add AI to the platform your on-call process is already built on.

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See Hyground in action

See Hyground in action

See Hyground in action

FAQ

Hyground vs

PagerDuty SRE Agent

:

common

questions

Is Hyground an alternative to PagerDuty SRE Agent?
Can Hyground replace PagerDuty?
How do the two reach our observability tools?
Where do our credentials end up?
How does pricing compare?