Upload k8s/base/slos/slos.yaml with huggingface_hub
Browse files- k8s/base/slos/slos.yaml +68 -0
k8s/base/slos/slos.yaml
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# =============================================================================
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# Service Level Objectives — Platform SLOs
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# =============================================================================
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# SLOs define reliability targets. Error budgets = 100% - SLO.
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# Burn rate alerts fire when error budget is consumed too fast.
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# =============================================================================
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# --- API Availability SLO: 99.95% (21.9 min/month error budget) ---
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apiVersion: monitoring.coreos.com/v1
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kind: PrometheusRule
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metadata:
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name: slo-api-availability
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namespace: monitoring
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labels:
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release: kube-prometheus-stack
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slo: "true"
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spec:
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groups:
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- name: slo.api.availability
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rules:
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# SLO metric: 5m success rate
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- record: slo:api_availability:rate5m
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expr: |
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sum(rate(http_requests_total{code!~"5.."}[5m]))
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/
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sum(rate(http_requests_total[5m]))
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# 1h error budget burn rate (14.4x = consume 30d budget in 2d)
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- alert: SLOAPIAvailabilityBurnRateHigh
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expr: |
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(
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(1 - slo:api_availability:rate5m) > (14.4 * 0.001)
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)
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for: 5m
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labels:
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severity: critical
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slo: api-availability
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annotations:
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summary: "API availability SLO budget burning too fast"
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runbook: "https://runbook.platform.internal/slo-api-burn"
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- name: slo.api.latency
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rules:
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# Latency SLO: P99 < 2s, 99.9% of requests
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- record: slo:api_latency_p99:rate5m
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expr: |
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histogram_quantile(0.99, sum(rate(http_request_duration_seconds_bucket[5m])) by (le))
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- alert: SLOAPILatencyBurnRateHigh
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expr: |
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slo:api_latency_p99:rate5m > 2
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for: 10m
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labels:
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severity: warning
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slo: api-latency
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annotations:
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summary: "API P99 latency exceeding 2s SLO"
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- name: slo.error_budget
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rules:
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# Remaining error budget (percentage)
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- record: slo:error_budget_remaining:ratio
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expr: |
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1 - (
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(1 - slo:api_availability:rate5m)
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/
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0.0005
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)
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