Icinga
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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.
The record
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
WebSite
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"author": {
"@id": "https://decisioninsights.ai/registry/icinga/#organization",
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"mainEntityOfPage": "https://decisioninsights.ai/registry/icinga/",
"name": "Icinga"
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"dateModified": "2026-08-27T03:10:34Z",
"description": "Icinga is an open-source IT monitoring and observability platform for infrastructure, applications, and services.",
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"Open Source",
"Application",
"Automation",
"Cloud",
"Configuration Management",
"High Availability",
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"Observability Platform",
"on-premises",
"Open Source",
"Services",
"Site Reliability Engineering",
"Systems Integration"
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What we add
Topic graph
A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.
AI infrastructure https://decisioninsights.ai/term/ai-infrastructure/
Data Center https://decisioninsights.ai/term/data-center/
Application https://decisioninsights.ai/term/application/
and 10 more
Counted facts
A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.
Related projects Nagios, Istio, OSSEC, Checkmk, Sensu, Ironic, Kibana, Apache Hertzbeat
Related organizations SolarWinds, SigNoz, Checkmk, OpenEBS, NetBox Labs, Logz.io, EnterpriseDB, BMC Software