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

ilert

Hyground vs Dash0

Hyground vs ilert: the investigation runs inside your cluster

ilert is a European alerting and on-call platform whose AI agents investigate from ilert's cloud, on models hosted in the EU when the customer is in the EU. Hyground installs into your Kubernetes cluster and reads the cluster API, Prometheus and Loki from inside it, on whatever model you point it at.

A fair starting point

ilert is a genuinely European option, and this page says so plainly. Its AI runs on region-specific endpoints, and for EU customers the models are hosted in the EU, Anthropic through AWS Bedrock in an EU region. Every AI and agent action is logged, and the whole AI layer can be switched off account-wide, after which nothing is sent to an external model at all. It also does the things Hyground does not do: paging, on-call schedules, call routing with a voice agent, and status pages. The difference is not Europe. ilert's agents reason in ilert's cloud, against the tools you connect to them; Hyground's agents reason inside the cluster they are installed in.

REVIEW NOTES FOR THE TEAM. Draft only. Delete this block before publishing.

Claims checked 2026-09-14 against ilert's own documentation at docs.ilert.com: the AI and agents overview including the model endpoints and data residency table, AI features, Agents, the ilagent edge connector and the documentation index. On our side against the product docs repo at commit d4604a6b and the current hyground.ai pricing and security pages. Only claims that need a second pair of eyes are listed.

  • ilert hosts EU customers' models in the EU, and our sovereignty argument against them is narrower than we have been making it. Please read this one first. Their documentation publishes a region table: EU customers are served by Anthropic models through AWS Bedrock in an EU region, and non-EU customers by OpenAI and Anthropic platforms in the US. The whole AI layer can also be disabled account-wide, after which nothing is sent to an external model. The page now says outright that our argument is not jurisdiction, it is that their agents still reason in their cloud rather than in your cluster. That is a real narrowing and it needs your agreement before it goes live.

  • "Platform-level RBAC" is off the page. The old card claimed it on our side. Our own enterprise-readiness audit says RBAC is not enforced yet and lists it under "do not claim yet". The page now says credentials are managed at platform level with a full audit trail, which is what the documentation supports. Same correction as the rest of the family.

  • "Read-only by default" became "read-first". Our docs say adapters default to read-only and verify it at startup, and the few writes that exist are ticket comments and email behind configuration flags. A demo would have contradicted the old wording.

  • Their agents act, not just investigate. Their documentation describes autonomous agents that reason, investigate and trigger actions to resolve or communicate incidents, with every action logged and traceable. The old page treated their AI as noise reduction and triage. The row and the card now state what they actually do.

  • They have an on-premises component. ilagent, with an edge connector that polls ilert and delivers to local systems over HTTP, Kafka, MQTT or script execution. It is a relay rather than an in-cluster agent, but the page should not imply they have nothing on-premises, and it no longer does.

  • ilert gets the table's one competitor tick, on alerting and on-call. Paging, schedules, escalation, call routing with an AI voice agent, and status pages. We do none of it, and the page says most teams keep their pager.

  • Our LLM claim was a hard list of five providers and is now "any provider". Same correction as the rest of the family. The sharpest remaining model difference is that Hyground can run a model inside the cluster and ilert cannot.

  • Their pricing is per user but we could not source current rates. The row says per user on published plans and points at their pricing page. Add the numbers if someone verifies them.

  • Open decision. The six cards are prose paragraphs; the Dash0 layout uses bullet lists. Same question as the rest of the family.

  • Nothing a visitor sees changes until this is published. The live site is still served from Strapi.

Side by side

Hyground vs

ilert

at a glance

What matters

Hyground
ilert

Where it runs

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

In ilert's cloud. An on-premises agent, ilagent, relays events and reaches local systems.

Where the model runs

Wherever you point it, including a model you host yourself inside the cluster.

Region-specific endpoints. EU customers get EU-hosted models; other regions get US-hosted ones.

LLM choice

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

Models ilert selects for your region. The whole AI layer can be disabled account-wide.

Kubernetes and the observability stack

The cluster API, Prometheus, Loki, Elasticsearch, OpenSearch, Jaeger and InfluxDB, queried from inside the cluster.

Whatever the agents reach through connected tools and MCP servers, from ilert's side.

Alerting, on-call and status pages

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

The core product: paging, schedules, escalation, call routing with a voice agent, and status pages.

What the agent changes

Nothing in your infrastructure. Hyground diagnoses and recommends.

Agents reason, investigate and can act on incidents, with every action logged and traceable.

Your documentation and runbooks

Confluence Cloud and on-premises, up to 100 Git repositories, Artifactory and uploaded files, embedded inside your cluster.

Whatever the agents can reach through the tools and MCP servers you connect.

Pricing model

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

Per user, on published plans. Check their pricing page for current rates.

Swipe to compare

Why teams choose Hyground

Where Hyground differs

Decision

When each platform fits

These solve different halves of an incident: an alerting and on-call platform with AI on top, and an investigation agent that lives in your cluster. They pair well, and most teams that pick Hyground keep their pager.

Choose

ilert

when

Alerting, on-call scheduling, call routing and status pages are what you are buying first, you want the AI noise reduction and autonomous triage to sit inside that same platform, and what your compliance review wants to see is a European vendor with EU-hosted models.

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See Hyground in action

See Hyground in action

See Hyground in action

FAQ

Hyground vs

ilert

:

common

questions

Is Hyground an alternative to ilert?
Is ilert a European option?
Does our telemetry leave our network?
Can we use our own model with ilert?
Can we run both?