[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. 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. the |
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| "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. Noticed that the host jobs have an id prefixed with There was a problem hiding this comment. i've included the k8s prefix on the kubernetes jobs, as we'll want to distinguish between them in ML job management. |
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| "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 | ||
| }, | ||
| "query": { | ||
| "bool": { | ||
| "must": [ | ||
| { | ||
| "exists": { | ||
| "field": "system.cpu" | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| }, | ||
| "aggs": { | ||
| "host.name": { | ||
| "terms": { | ||
| "field": "host.name", | ||
| "size": 1000 | ||
| }, | ||
| "aggs": { | ||
| "buckets": { | ||
| "date_histogram": { | ||
| "field": "@timestamp", | ||
| "fixed_interval": "1m" | ||
| }, | ||
| "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": "1000s" | ||
| }, | ||
| "aggregations": { | ||
| "host.name": {"terms": {"field": "host.name"}, | ||
| "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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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,40 @@ | ||
| { | ||
| "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": "1000s" | ||
| }, | ||
| "aggregations": { | ||
| "host.name": {"terms": {"field": "host.name"}, | ||
| "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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| Original file line number | Diff line number | Diff line change | ||||
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| @@ -0,0 +1,51 @@ | ||||||
| { | ||||||
| "job_type": "anomaly_detector", | ||||||
| "groups": [ | ||||||
| "hosts", | ||||||
| "metrics" | ||||||
| ], | ||||||
| "description": "Metrics: Hosts - Identify unusual spikes in cpu utilization across hosts.", | ||||||
|
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There was a problem hiding this comment. updated - thanks! |
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| "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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| @@ -0,0 +1,40 @@ | ||
| { | ||
| "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" | ||
| }, | ||
| "model_plot_config": { | ||
| "enabled": "true" | ||
| }, | ||
| "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!