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[ML] Adds ML modules for Metrics UI Integration #76460
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{ | ||
"icon": "metricsApp" | ||
} |
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{ | ||
"id": "metrics_ui_hosts", | ||
"title": "Metrics Hosts", | ||
"description": "Detect anomalous memory, cpu, and network behavior on hosts.", | ||
"type": "Metricbeat Data", | ||
"logoFile": "logo.json", | ||
"defaultIndexPattern": "metricbeat-*", | ||
"query": { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If the jobs in this module provide no value without the specific overrides we are expecting from the Metrics UI, then removing this There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. the |
||
"bool": { | ||
"must": [ | ||
{"exists": {"field": "system"}} | ||
], | ||
"must_not": [ | ||
{"bool": {"filter": [{"exists":{"field": "kubernetes"}}]}}, | ||
{"bool": {"filter": [{"exists":{"field": "docker"}}]}} | ||
] | ||
} | ||
}, | ||
"jobs": [ | ||
{ | ||
"id": "hosts_cpu_usage", | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Noticed that the host jobs have an id prefixed with There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. i've included the k8s prefix on the kubernetes jobs, as we'll want to distinguish between them in ML job management. |
||
"file": "hosts_cpu_usage.json" | ||
}, | ||
{ | ||
"id": "hosts_memory_usage", | ||
"file": "hosts_memory_usage.json" | ||
}, | ||
{ | ||
"id": "hosts_network_in", | ||
"file": "hosts_network_in.json" | ||
}, | ||
{ | ||
"id": "hosts_network_out", | ||
"file": "hosts_network_out.json" | ||
} | ||
], | ||
"datafeeds": [ | ||
{ | ||
"id": "datafeed-hosts_cpu_usage", | ||
"file": "datafeed_hosts_cpu_usage.json", | ||
"job_id": "hosts_cpu_usage" | ||
}, | ||
{ | ||
"id": "datafeed-hosts_memory_usage", | ||
"file": "datafeed_hosts_memory_usage.json", | ||
"job_id": "hosts_memory_usage" | ||
}, | ||
{ | ||
"id": "datafeed-hosts_network_in", | ||
"file": "datafeed_hosts_network_in.json", | ||
"job_id": "hosts_network_in" | ||
}, | ||
{ | ||
"id": "datafeed-hosts_network_out", | ||
"file": "datafeed_hosts_network_out.json", | ||
"job_id": "hosts_network_out" | ||
} | ||
] | ||
} |
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{ | ||
"job_id": "JOB_ID", | ||
"indices": [ | ||
"INDEX_PATTERN_NAME" | ||
], | ||
"indices_options": { | ||
"allow_no_indices": true | ||
}, | ||
"chunking_config": { | ||
"mode": "manual", | ||
"time_span": "900s" | ||
}, | ||
"query": { | ||
"bool": { | ||
"must": [ | ||
{ | ||
"exists": { | ||
"field": "system.cpu" | ||
} | ||
} | ||
] | ||
} | ||
}, | ||
"aggs": { | ||
"host.name": { | ||
"terms": { | ||
"field": "host.name", | ||
"size": 100 | ||
}, | ||
"aggs": { | ||
"buckets": { | ||
"date_histogram": { | ||
"field": "@timestamp", | ||
"fixed_interval": "5m" | ||
}, | ||
"aggs": { | ||
"@timestamp": { | ||
"max": { | ||
"field": "@timestamp" | ||
} | ||
}, | ||
"cpu_user": { | ||
"avg": { | ||
"field": "system.cpu.user.pct" | ||
} | ||
}, | ||
"cpu_system": { | ||
"avg": { | ||
"field": "system.cpu.system.pct" | ||
} | ||
}, | ||
"cpu_cores": { | ||
"max": { | ||
"field": "system.cpu.cores" | ||
} | ||
}, | ||
"cpu": { | ||
"bucket_script": { | ||
"buckets_path": { | ||
"user": "cpu_user", | ||
"system": "cpu_system", | ||
"cores": "cpu_cores" | ||
}, | ||
"script": "(params.user + params.system) / params.cores", | ||
"gap_policy": "skip" | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} |
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{ | ||
"job_id": "JOB_ID", | ||
"indices": [ | ||
"INDEX_PATTERN_NAME" | ||
], | ||
"indices_options": { | ||
"allow_no_indices": true | ||
}, | ||
"query": { | ||
"bool": { | ||
"must": [ | ||
{"exists": {"field": "system.memory"}} | ||
] | ||
} | ||
} | ||
} |
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{ | ||
"job_id": "JOB_ID", | ||
"indices": [ | ||
"INDEX_PATTERN_NAME" | ||
], | ||
"indices_options": { | ||
"allow_no_indices": true | ||
}, | ||
"query": { | ||
"bool": { | ||
"must": [ | ||
{"exists": {"field": "system.network"}} | ||
] | ||
} | ||
}, | ||
"chunking_config": { | ||
"mode": "manual", | ||
"time_span": "900s" | ||
}, | ||
"aggregations": { | ||
"host.name": {"terms": {"field": "host.name", "size": 100}, | ||
"aggregations": { | ||
"buckets": { | ||
"date_histogram": {"field": "@timestamp","fixed_interval": "5m"}, | ||
"aggregations": { | ||
"@timestamp": {"max": {"field": "@timestamp"}}, | ||
"bytes_in_max": {"max": {"field": "system.network.in.bytes"}}, | ||
"bytes_in_derivative": {"derivative": {"buckets_path": "bytes_in_max"}}, | ||
"positive_only":{ | ||
"bucket_script": { | ||
"buckets_path": {"in_derivative": "bytes_in_derivative.value"}, | ||
"script": "params.in_derivative > 0.0 ? params.in_derivative : 0.0" | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} |
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{ | ||
"job_id": "JOB_ID", | ||
"indices": [ | ||
"INDEX_PATTERN_NAME" | ||
], | ||
"indices_options": { | ||
"allow_no_indices": true | ||
}, | ||
"query": { | ||
"bool": { | ||
"must": [ | ||
{"exists": {"field": "system.network"}} | ||
] | ||
} | ||
}, | ||
"chunking_config": { | ||
"mode": "manual", | ||
"time_span": "900s" | ||
}, | ||
"aggregations": { | ||
"host.name": {"terms": {"field": "host.name", "size": 100}, | ||
"aggregations": { | ||
"buckets": { | ||
"date_histogram": {"field": "@timestamp","fixed_interval": "5m"}, | ||
"aggregations": { | ||
"@timestamp": {"max": {"field": "@timestamp"}}, | ||
"bytes_out_max": {"max": {"field": "system.network.out.bytes"}}, | ||
"bytes_out_derivative": {"derivative": {"buckets_path": "bytes_out_max"}}, | ||
"positive_only":{ | ||
"bucket_script": { | ||
"buckets_path": {"out_derivative": "bytes_out_derivative.value"}, | ||
"script": "params.out_derivative > 0.0 ? params.out_derivative : 0.0" | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} |
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{ | ||||||
"job_type": "anomaly_detector", | ||||||
"groups": [ | ||||||
"hosts", | ||||||
"metrics" | ||||||
], | ||||||
"description": "Metrics: Hosts - Identify unusual spikes in cpu utilization across hosts.", | ||||||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
Suggested change
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. updated - thanks! |
||||||
"analysis_config": { | ||||||
"bucket_span": "15m", | ||||||
"summary_count_field_name": "doc_count", | ||||||
"detectors": [ | ||||||
{ | ||||||
"detector_description": "max('cpu')", | ||||||
"function": "max", | ||||||
"field_name": "cpu", | ||||||
"custom_rules": [ | ||||||
{ | ||||||
"actions": [ | ||||||
"skip_result" | ||||||
], | ||||||
"conditions": [ | ||||||
{ | ||||||
"applies_to": "actual", | ||||||
"operator": "lt", | ||||||
"value": 0.1 | ||||||
} | ||||||
] | ||||||
} | ||||||
] | ||||||
} | ||||||
], | ||||||
"influencers": [ | ||||||
"host.name" | ||||||
] | ||||||
}, | ||||||
"data_description": { | ||||||
"time_field": "@timestamp" | ||||||
}, | ||||||
"analysis_limits": { | ||||||
"model_memory_limit": "64mb" | ||||||
}, | ||||||
"custom_settings": { | ||||||
"created_by": "ml-module-metrics-ui-hosts", | ||||||
"custom_urls": [ | ||||||
{ | ||||||
"url_name": "Host Metrics", | ||||||
"url_value": "metrics/detail/host/$host.name$?metricTime=(autoReload:!f,refreshInterval:5000,time:(from:%27$earliest$%27,interval:%3E%3D1m,to:%27$latest$%27))" | ||||||
} | ||||||
] | ||||||
} | ||||||
} |
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{ | ||
"job_type": "anomaly_detector", | ||
"groups": [ | ||
"hosts", | ||
"metrics" | ||
], | ||
"description": "Metrics: Hosts - Identify unusual spikes in memory usage across hosts.", | ||
"analysis_config": { | ||
"bucket_span": "15m", | ||
"detectors": [ | ||
{ | ||
"detector_description": "max('system.memory.actual.used.pct')", | ||
"function": "max", | ||
"field_name": "system.memory.actual.used.pct", | ||
"custom_rules": [ | ||
{ | ||
"actions": [ | ||
"skip_result" | ||
], | ||
"conditions": [ | ||
{ | ||
"applies_to": "actual", | ||
"operator": "lt", | ||
"value": 0.1 | ||
} | ||
] | ||
} | ||
] | ||
} | ||
], | ||
"influencers": [ | ||
"host.name" | ||
] | ||
}, | ||
"data_description": { | ||
"time_field": "@timestamp" | ||
}, | ||
"analysis_limits": { | ||
"model_memory_limit": "64mb" | ||
}, | ||
"custom_settings": { | ||
"created_by": "ml-module-metrics-ui-hosts", | ||
"custom_urls": [ | ||
{ | ||
"url_name": "Host Metrics", | ||
"url_value": "metrics/detail/host/$host.name$?metricTime=(autoReload:!f,refreshInterval:5000,time:(from:%27$earliest$%27,interval:%3E%3D1m,to:%27$latest$%27))" | ||
} | ||
] | ||
} | ||
} |
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{ | ||
"job_type": "anomaly_detector", | ||
"description": "Metrics: Hosts - Identify unusual spikes in inbound traffic across hosts.", | ||
"groups": [ | ||
"hosts", | ||
"metrics" | ||
], | ||
"analysis_config": { | ||
"bucket_span": "15m", | ||
"detectors": [ | ||
{ | ||
"detector_description": "max(bytes_in_derivative)", | ||
"function": "max", | ||
"field_name": "bytes_in_derivative" | ||
} | ||
], | ||
"influencers": [ | ||
"host.name" | ||
], | ||
"summary_count_field_name": "doc_count" | ||
}, | ||
"data_description": { | ||
"time_field": "@timestamp" | ||
}, | ||
"analysis_limits": { | ||
"model_memory_limit": "32mb" | ||
}, | ||
"custom_settings": { | ||
"created_by": "ml-module-metrics-ui-hosts", | ||
"custom_urls": [ | ||
{ | ||
"url_name": "Host Metrics", | ||
"url_value": "metrics/detail/host/$host.name$?metricTime=(autoReload:!f,refreshInterval:5000,time:(from:%27$earliest$%27,interval:%3E%3D1m,to:%27$latest$%27))" | ||
} | ||
] | ||
} | ||
} |
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updated - thanks!