Hyground vs ilert
ilert is an AI-first alerting and on-call platform: its AI SRE connects to your observability stack from ilert's cloud and pages humans when needed. Hyground installs into your Kubernetes cluster and queries Prometheus, Loki, the cluster API, and your runbooks directly, so the investigation runs where the systems live.
ilert is built around alerting, on-call scheduling, call routing, and status pages, with an AI SRE layered on to correlate alerts, group noise, and investigate against connected monitoring tools. Hyground is built around investigation: it runs inside your cluster, models the live infrastructure, and reasons over services, pods, deploys, logs, and code natively, then hands findings to whatever pages your team.
Architecture
Six choices that change where the AI loop runs, what it can see, and what your security team has to sign off.
Hyground queries the Kubernetes API, Prometheus, Loki, Elasticsearch, and OpenSearch from inside the cluster to answer questions like which services depend on this one and which deploy changed it. ilert's AI SRE investigates by calling connected monitoring tools from ilert's platform; it has no in-cluster model of your infrastructure.
Hyground holds your observability, ITSM, and Git credentials inside your cluster, behind a central gateway with platform-level RBAC and an audit trail. ilert is a European, privacy-focused vendor, but its AI SRE still reaches your monitoring tools using connections configured in ilert's SaaS, so the reach lives in a vendor tenant.
Connect Hyground to Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or a self-hosted Ollama endpoint through LiteLLM, including models that never leave your network. ilert runs its AI features on its own managed models.
Hyground's core is autonomous investigation with evidence-linked findings; paging is something you connect. ilert's core is alerting and on-call orchestration, with AI added to reduce noise, group alerts, and speed triage. If investigation depth is the goal, that ordering matters.
Hyground runs read-only by default: Kubernetes RBAC scoped, with no write verbs on adapters. Restarting pods, mutating configs, or running commands requires explicit opt-in.
Hyground ships first-party connectors for Prometheus, Loki, Elasticsearch, and OpenSearch, plus bidirectional Jira and ServiceNow, and posts findings back into the tool that paged. It complements an alerting platform rather than replacing it.
Decision
ilert and Hyground solve different halves of the incident: an AI-first alerting and on-call platform, and an in-cluster investigation agent. They pair well.
Investigation depth against your live infrastructure, keeping credentials and the AI loop inside your network, or a self-hosted LLM matter most. Webhook ilert alerts in and post findings back to the incident.
You are buying alerting, on-call scheduling, call routing, and status pages first, and want AI noise reduction, semantic grouping, and postmortems inside that platform. It is a strong European option for that job.
Try the sandbox or schedule a demo and watch the agent investigate against a real cluster.