
AI Telemetry Integration for Mesh Operations Dashboard
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Description
Experience Level: Expert
Hi everyone,
We are an early-stage deep-tech startup building distributed infrastructure for AI workloads. Our system enables AI tasks to run across a global mesh of agent machines, coordinated through a control plane and monitored via telemetry.
We are currently developing a Mesh Operations Dashboard used internally to monitor node health across our network.
The dashboard displays:
• Node status (online / degraded / offline)
• Latency and throughput metrics
• Tasks processed per minute
• Telemetry traces from agent nodes
The goal of this test is to verify your ability to integrate telemetry data into the preview dashboard and ensure that node metrics are displayed correctly.
We are an early-stage deep-tech startup building distributed infrastructure for AI workloads. Our system enables AI tasks to run across a global mesh of agent machines, coordinated through a control plane and monitored via telemetry.
We are currently developing a Mesh Operations Dashboard used internally to monitor node health across our network.
The dashboard displays:
• Node status (online / degraded / offline)
• Latency and throughput metrics
• Tasks processed per minute
• Telemetry traces from agent nodes
The goal of this test is to verify your ability to integrate telemetry data into the preview dashboard and ensure that node metrics are displayed correctly.
Julie M.
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Hi Julie
Is the telemetry data currently coming through something like OpenTelemetry, Prometheus, or a custom ingestion pipeline from the agent nodes? -

Hi Julie, could you please confirm which telemetry source/stack the preview dashboard is pulling from, and whether this test is limited to wiring the existing data into the dashboard or also includes any backend instrumentation/data-pipeline work?
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