Kepler
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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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BreadcrumbList
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SoftwareSourceCode
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"name": "Cloud Native Computing Foundation (CNCF)"
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"dateModified": "2026-08-27T03:10:35Z",
"description": "Kepler (Kubernetes-based Efficient Power Level Exporter) estimates and exports energy usage metrics for Kubernetes workloads and nodes.",
"keywords": [
"Open Source",
"Central Processing Unit",
"Cloud Native",
"Kubernetes",
"Node",
"Observability",
"Power",
"Service Level Objective",
"Sustainability",
"Telemetry"
],
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"name": "Cloud Native Computing Foundation (CNCF)"
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"name": "Kepler",
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"url": "https://sustainable-computing.io/"
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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.
Cybersecurity https://decisioninsights.ai/term/cybersecurity/
Data Center https://decisioninsights.ai/term/data-center/
Network Operator https://decisioninsights.ai/term/network-operator/
and 9 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 Kubernetes, KubeEdge, OpenCost, Kcp, KServe, Pixie, Kubestellar, Kubernetes (K8)
Related organizations Netdata, DragonflyDB, Diamanti, Gremlin, Operant, Nobl9, ClickHouse, Altoros