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gcp.vertex.workbench.idle
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CHANGELOG.md

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README.fr.md

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@@ -57,18 +57,18 @@ cleancloud scan --provider aws --category all
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- utilisation_pct: 1.2
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- estimated_monthly_cost: ~$23 374/mois
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2. [GCP] Instance Workbench GPU inactive (>14 jours, 31 jours sans activité)
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Risque : Critique
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2. [GCP] Endpoint Vertex AI inactif (2 réplique(s) toujours active(s), zéro requête)
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Risque : Élevé
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Confiance : High
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Ressource : gcp.vertex.workbench.instance → projects/ml-platform/locations/us-central1/instances/research-nb-gpu
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Ressource : gcp.vertex.endpoint → projects/ml-platform/locations/us-central1/endpoints/8842531067721654272
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Région : us-central1
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Règle : gcp.vertex.workbench.idle
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Raison : Instance Workbench sans activité sur le plan de contrôle depuis 31 jours, état ACTIVE
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Règle : gcp.vertex.endpoint.idle
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Raison : L'endpoint a un plancher de service provisionné de 2 réplique(s) ; la télémétrie de comptage des requêtes (couverture : complète) montre un taux maximum observé == 0 sur une fenêtre de 14j
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Détails :
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- machine_type: a2-highgpu-4g
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- accelerator_type: NVIDIA_TESLA_A100
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- accelerator_count: 4
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- estimated_monthly_cost: ~$11 732/mois
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- provisioned_serving_floor: 2
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- in_scope_model_count: 1
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- has_accelerator: true
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- telemetry_coverage_state: complete
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3. [Azure] Instance de calcul Azure ML inactive (31 jours sans activité)
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Risque : Élevé

README.md

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@@ -57,18 +57,18 @@ Found 10 findings (6 hygiene + 4 AI/ML):
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- utilisation_pct: 1.2
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- estimated_monthly_cost: ~$23,374/month
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2. [GCP] Idle GPU-Backed Workbench Instance (>14 Days Idle, 31 Days Since Activity)
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Risk : Critical
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2. [GCP] Idle Vertex AI Endpoint (2 replica(s) always on, zero requests)
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Risk : High
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Confidence : High
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Resource : gcp.vertex.workbench.instance → projects/ml-platform/locations/us-central1/instances/research-nb-gpu
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Resource : gcp.vertex.endpoint → projects/ml-platform/locations/us-central1/endpoints/8842531067721654272
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Region : us-central1
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Rule : gcp.vertex.workbench.idle
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Reason : Workbench instance has had no control-plane activity for 31 days while ACTIVE
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Rule : gcp.vertex.endpoint.idle
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Reason : Endpoint has provisioned serving floor of 2 replica(s); request-count telemetry (coverage: complete) shows max observed rate == 0 over 14d window
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Details:
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- machine_type: a2-highgpu-4g
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- accelerator_type: NVIDIA_TESLA_A100
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- accelerator_count: 4
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- estimated_monthly_cost: ~$11,732/month
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- provisioned_serving_floor: 2
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- in_scope_model_count: 1
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- has_accelerator: true
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- telemetry_coverage_state: complete
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3. [Azure] Idle Azure ML Compute Instance (31 Days Since Last Activity)
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Risk : High

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