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vastai-observability

vastai-observability

Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals. Use when building dashboards, alerts, or release telemetry. Trigger with: "monitor Vast.ai", "alert on Vast.ai instances", "observe Vast.ai Serverless".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: vastai-observability description: >- Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals. Use when building dashboards, alerts, or release telemetry. Trigger with: "monitor Vast.ai", "alert on Vast.ai instances", "observe Vast.ai Serverless". allowed-tools: Read, Grep, Write, Edit version: 2.0.0 argument-hint: '[resource-scope-slos-and-alert-destinations]' model: inherit effort: high license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • vastai
  • observability
  • alerts
  • serverless compatibility: 'Requires read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders.'

Vast.ai Control-Plane Observability

Overview

Measure provider state and workload health separately. Alerts must identify a resource, threshold, evidence link, responder, and safe action; a dashboard without terminal-state and billing coverage is incomplete.

Prerequisites

  • Instance, endpoint, workergroup, deployment, and account scopes
  • Latency, error, queue, utilization, state-age, balance, and cost objectives
  • Collection interval, retention, alert routing, and incident owner

Instructions

Step 1: Inventory labeled resources

Map instance labels and Serverless IDs to service, environment, release, cost center, and owner.

Step 2: Collect structured control state

Read instance actual status, timestamps, price, disk, and endpoints; collect endpoint/workergroup status, logs, and deployment versions.

Step 3: Collect workload signals

Measure request/job success, latency, queue time, GPU utilization, memory, disk, checkpoint age, and last successful artifact.

Step 4: Add billing protection

Track credit balance, instance and storage charges, active/stopped age, and orphaned resources. Alert before balance or cleanup risk becomes urgent.

Step 5: Define stateful alerts

Alert on terminal states, excessive transition age, queue/SLO breach, checkpoint staleness, low balance, and cleanup failure with deduplication.

Step 6: Test the path

Inject a canary event or threshold breach, verify delivery and ownership, then record recovery and false-positive behavior.

Authentication

Use read-only keys for collectors and distinct secrets for alert sinks. Never put a mutation-capable Vast.ai key in dashboards or telemetry processors.

Tool Discipline

Use Read and Grep to inspect manifests, configuration, provider output, and existing tests before proposing a mutation. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not create, update, destroy, or fund Vast.ai resources without explicit operator approval.

Output

  • Resource-to-owner inventory and telemetry schema
  • Dashboard and actionable alert definitions
  • Alert-path test, retention, and unresolved coverage receipt

Return resource scope, collection interval, SLOs, tested alert, responder, evidence location, and blind spots.

Examples

A dashboard separates an instance's running state from workload request success, pages on stale external checkpoints and low balance, and assigns stopped-storage leaks to the billing owner.

Error Handling

FailureResponse
Collector receives 403Add only the documented read category needed by that metric.
Resource is missing from inventoryQuarantine the alert and assign ownership before automated action.
Metrics lag exceeds the SLOMark the dashboard stale and use direct provider state during incidents.
Alert contains a secret or payloadDisable the route, scrub data, rotate credentials, and narrow fields.

Resources

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