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doca-dts

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Deploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.

skills/doca-dts/SKILL.md

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# DOCA Telemetry Service (DTS)

**Scope note.** DTS is an *externally productized* DOCA service: it is
not one of the DOCA SDK libraries, and its source of
truth is the public DTS guide plus the NGC container / helm-chart pages
and the DOCA Platform (DPF) public docs. This skill covers DTS **as
deployed and configured** — which manifest or invocation starts it,
which `dts_config.ini` keys shape it, how to verify it exports. It does
not cover the library side: reading telemetry in your own program is
`libs/doca-telemetry` (`doca-telemetry/SKILL.md`), publishing
into DTS over IPC from your own program is
`libs/doca-telemetry-exporter` (`doca-telemetry-exporter/SKILL.md`).

**Where to start:** decide the **deployment type** before anything
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