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dist/rules/spinnaker/embedded-exporter.yml
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124
dist/rules/spinnaker/embedded-exporter.yml
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groups:
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- name: EmbeddedExporter
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rules:
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- alert: SpinnakerCircuitBreakerOpen
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expr: 'resilience4j_circuitbreaker_state{state="open"} == 1'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker circuit breaker open (instance {{ $labels.instance }})
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description: "Circuit breaker {{ $labels.name }} is open on {{ $labels.instance }}, indicating repeated downstream failures.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# In a healthy Spinnaker, queue_ready_depth should stay at or near 0.
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# Sustained non-zero values indicate Orca cannot keep up with incoming work.
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- alert: SpinnakerOrcaQueueBackingUp
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expr: 'queue_ready_depth > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker Orca queue backing up (instance {{ $labels.instance }})
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description: "Orca work queue has {{ $value }} messages ready for delivery but not yet picked up. Pipeline executions may be delayed.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# The 30s threshold is a rough default. Adjust based on your pipeline SLOs.
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- alert: SpinnakerOrcaQueueMessageLagHigh
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expr: 'rate(queue_message_lag_seconds_sum[5m]) / rate(queue_message_lag_seconds_count[5m]) > 30'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker Orca queue message lag high (instance {{ $labels.instance }})
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description: "Orca queue message lag is {{ $value }}s. Pipeline stages are waiting too long before being processed.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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- alert: SpinnakerDeadMessages
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expr: 'rate(queue_dead_messages_total[5m]) > 0'
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: Spinnaker dead messages (instance {{ $labels.instance }})
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description: "Orca is producing dead-lettered messages ({{ $value }} per second). These are tasks that exhausted all retries and will not be executed.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# Zombies are pipeline executions that are running but have lost their queue entry.
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# See https://spinnaker.io/docs/guides/runbooks/orca-zombie-executions/
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- alert: SpinnakerZombieExecutions
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expr: 'rate(queue_zombies_total[5m]) > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker zombie executions (instance {{ $labels.instance }})
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description: "{{ $value }} zombie pipeline executions detected. These are executions with no corresponding queue messages.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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- alert: SpinnakerThreadPoolExhaustion
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expr: 'threadpool_blockingQueueSize > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker thread pool exhaustion (instance {{ $labels.instance }})
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description: "Orca message handler thread pool has {{ $value }} blocked threads on {{ $labels.instance }}. Pipeline execution throughput is degraded.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# When this threshold is exceeded, Igor stops triggering pipelines for the affected monitor.
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# See https://kb.armory.io/s/article/Hitting-Igor-s-caching-thresholds
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- alert: SpinnakerPollingMonitorItemsOverThreshold
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expr: 'sum by (monitor, partition) (pollingMonitor_itemsOverThreshold) > 0'
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: Spinnaker polling monitor items over threshold (instance {{ $labels.instance }})
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description: "Igor polling monitor {{ $labels.monitor }} for {{ $labels.partition }} has exceeded its item threshold, preventing pipeline triggers.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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- alert: SpinnakerPollingMonitorFailures
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expr: 'rate(pollingMonitor_failed_total[5m]) > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker polling monitor failures (instance {{ $labels.instance }})
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description: "Igor polling monitor is experiencing failures ({{ $value }} per second). CI/SCM integrations may not trigger pipelines.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# The 5% threshold is a rough default. Adjust based on your traffic patterns.
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- alert: SpinnakerHighApiErrorRate
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expr: 'sum by (instance) (rate(controller_invocations_total{status="5xx"}[5m])) / sum by (instance) (rate(controller_invocations_total[5m])) > 0.05 and sum by (instance) (rate(controller_invocations_total[5m])) > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker high API error rate (instance {{ $labels.instance }})
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description: "Spinnaker API 5xx error rate is {{ $value | humanizePercentage }} on {{ $labels.instance }}.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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- alert: SpinnakerApiRateLimitThrottling
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expr: 'rate(rateLimitThrottling_total[5m]) > 0'
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for: 2m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker API rate limit throttling (instance {{ $labels.instance }})
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description: "Gate is actively throttling API requests on {{ $labels.instance }} ({{ $value }} throttled requests per second).\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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- alert: SpinnakerClouddriverHighErrorRate
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expr: 'sum by (instance) (rate(controller_invocations_total{status="5xx", job=~".*clouddriver.*"}[5m])) / sum by (instance) (rate(controller_invocations_total{job=~".*clouddriver.*"}[5m])) > 0.05 and sum by (instance) (rate(controller_invocations_total{job=~".*clouddriver.*"}[5m])) > 0'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker Clouddriver high error rate (instance {{ $labels.instance }})
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description: "Clouddriver 5xx error rate is {{ $value | humanizePercentage }} on {{ $labels.instance }}. Cloud operations may be failing.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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# This metric is specific to AWS cloud providers in Clouddriver.
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# The 1000ms threshold is a rough default. Adjust based on your AWS usage patterns.
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- alert: SpinnakerAwsRateLimiting
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expr: 'amazonClientProvider_rateLimitDelayMil > 1000'
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: Spinnaker AWS rate limiting (instance {{ $labels.instance }})
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description: "Clouddriver is being rate-limited by AWS on {{ $labels.instance }} ({{ $value }}ms delay). Cloud operations will be slower.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"
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