8.ElasticSearch预警服务-Watcher详解-监控Marvel数据
编程技术  /  houtizong 发布于 3年前   76
8.ElasticSearch预警服务-Watcher详解-监控Marvel数据
如果ElasticSearch集群部署了Marvel相关的服务,那么就可以安装Watcher来监控异常情况的产生并发送预警。
例如可以在以下情况下配置Watch Action动作.
1.集群监控状态监控
2.高内存使用率
3.高CPU使用率
4.高文件目录空间
5.高FieldData 缓存使用
6.节点加入或者脱离集群
使用Watcher查询Marvel存储的集群信息数据,请注意Marvel数据是否存储正常。
1.监控集群状态配置:
每分钟检测一次,如果集群状态持续Red状态60秒,则触发预警动作。
PUT _watcher/watch/cluster_red_alert{ "trigger": { "schedule": { "interval": "1m" } }, "input": { "search": { "request": { "indices": ".marvel-*", "types": "cluster_stats", "body": { "query": { "filtered": { "filter": { "bool": { "must": [ { "range": { "@timestamp": { "gte": "now-2m", "lte": "now" } } } ], "should": [ { "term": { "status.raw": "red" } }, { "term": { "status.raw": "green" } }, { "term": { "status.raw": "yellow" } } ] } } } }, "fields": ["@timestamp","status"], "sort": [ { "@timestamp": { "order": "desc" } } ], "size": 1, "aggs": { "minutes": { "date_histogram": { "field": "@timestamp", "interval": "5s" }, "aggs": { "status": { "terms": { "field": "status.raw", "size": 3 } } } } } } } } }, "throttle_period": "30m", "condition": { "script": { "inline": "if (ctx.payload.hits.total < 1) return false; def rows = ctx.payload.hits.hits; if (rows[0].fields.status[0] != 'red') return false; if (ctx.payload.aggregations.minutes.buckets.size() < 12) return false; def last60Seconds = ctx.payload.aggregations.minutes.buckets[-12..-1]; return last60Seconds.every { it.status.buckets.every { s -> s.key == 'red' } }" } }, "actions": { "send_email": { "email": { "to": "<username>@<domainname>", "subject": "Watcher Notification - Cluster has been RED for the last 60 seconds", "body": "Your cluster has been red for the last 60 seconds." } } }}
2.监控内存使用
每分钟检测一次,如果60秒内集群内存使用大于75%,则发送预警邮件
PUT _watcher/watch/mem_watch{ "trigger": { "schedule": { "interval": "1m" } }, "input": { "search": { "request": { "indices": [ ".marvel-*" ], "search_type": "count", "body": { "query": { "filtered": { "filter": { "range": { "@timestamp": { "gte": "now-2m", "lte": "now" } } } } }, "aggs": { "minutes": { "date_histogram": { "field": "@timestamp", "interval": "minute" }, "aggs": { "nodes": { "terms": { "field": "node.name.raw", "size": 10, "order": { "memory": "desc" } }, "aggs": { "memory": { "avg": { "field": "jvm.mem.heap_used_percent" } } } } } } } } } } }, "throttle_period": "30m", "condition": { "script": "if (ctx.payload.aggregations.minutes.buckets.size() == 0) return false; def latest = ctx.payload.aggregations.minutes.buckets[-1]; def node = latest.nodes.buckets[0]; return node && node.memory && node.memory.value >= 75;" }, "actions": { "send_email": { "transform": { "script": "def latest = ctx.payload.aggregations.minutes.buckets[-1]; return latest.nodes.buckets.findAll { return it.memory && it.memory.value >= 75 };" }, "email": { "to": "<username>@<domainname>", "subject": "Watcher Notification - HIGH MEMORY USAGE", "body": "Nodes with HIGH MEMORY Usage (above 75%):\n\n{{#ctx.payload._value}}\"{{key}}\" - Memory Usage is at {{memory.value}}%\n{{/ctx.payload._value}}" } } }}
3.CPU使用率监控
每分钟执行一次,如果60秒CPU使用率大于75%,则发送预警邮件。
PUT _watcher/watch/cpu_usage{ "trigger": { "schedule": { "interval": "1m" } }, "input": { "search": { "request": { "indices": [ ".marvel-*" ], "search_type": "count", "body": { "query": { "filtered": { "filter": { "range": { "@timestamp": { "gte": "now-2m", "lte": "now" } } } } }, "aggs": { "minutes": { "date_histogram": { "field": "@timestamp", "interval": "minute" }, "aggs": { "nodes": { "terms": { "field": "node.name.raw", "size": 10, "order": { "cpu": "desc" } }, "aggs": { "cpu": { "avg": { "field": "os.cpu.user" } } } } } } } } } } }, "throttle_period": "30m", "condition": { "script": "if (ctx.payload.aggregations.minutes.buckets.size() == 0) return false; def latest = ctx.payload.aggregations.minutes.buckets[-1]; def node = latest.nodes.buckets[0]; return node && node.cpu && node.cpu.value >= 75;" }, "actions": { "send_email": { "transform": { "script": "def latest = ctx.payload.aggregations.minutes.buckets[-1]; return latest.nodes.buckets.findAll { return it.cpu && it.cpu.value >= 75 };" }, "email": { "to": "[email protected]", "subject": "Watcher Notification - HIGH CPU USAGE", "body": "Nodes with HIGH CPU Usage (above 75%):\n\n{{#ctx.payload._value}}\"{{key}}\" - CPU Usage is at {{cpu.value}}%\n{{/ctx.payload._value}}" } } }}
4.监控文件目录
每分钟检测一次,如果节点目录使用率大于80%,则发送预警邮件
PUT _watcher/watch/open_file_descriptors{ "metadata": { "system_fd": 65535, "threshold": 0.8 }, "trigger": { "schedule": { "interval": "1m" } }, "input": { "search": { "request": { "indices": [ ".marvel-*" ], "types": "node_stats", "search_type": "count", "body": { "query": { "filtered": { "filter": { "range": { "@timestamp": { "gte": "now-1m", "lte": "now" } } } } }, "aggs": { "minutes": { "date_histogram": { "field": "@timestamp", "interval": "5s" }, "aggs": { "nodes": { "terms": { "field": "node.name.raw", "size": 10, "order": { "fd": "desc" } }, "aggs": { "fd": { "avg": { "field": "process.open_file_descriptors" } } } } } } } } } } }, "throttle_period": "30m", "condition": { "script": "if (ctx.payload.aggregations.minutes.buckets.size() == 0) return false; def latest = ctx.payload.aggregations.minutes.buckets[-1]; def node = latest.nodes.buckets[0]; return node && node.fd && node.fd.value >= (ctx.metadata.system_fd * ctx.metadata.threshold);" }, "actions": { "send_email": { "transform": { "script": "def latest = ctx.payload.aggregations.minutes.buckets[-1]; return latest.nodes.buckets.findAll({ return it.fd && it.fd.value >= (ctx.metadata.system_fd * ctx.metadata.threshold) }).collect({ it.fd.percent = Math.round((it.fd.value/ctx.metadata.system_fd)*100); it });" }, "email": { "to": "<username>@<domainname>", "subject": "Watcher Notification - NODES WITH 80% FILE DESCRIPTORS USED", "body": "Nodes with 80% FILE DESCRIPTORS USED (above 80%):\n\n{{#ctx.payload._value}}\"{{key}}\" - File Descriptors is at {{fd.value}} ({{fd.percent}}%)\n{{/ctx.payload._value}}" } } }}
5.监控Field 缓存相关
每分钟执行一次,如果使用率大于80%,则发送预警邮件。
PUT _watcher/watch/fielddata_utilization{ "metadata": { "fielddata_cache_size": 100000, "threshold": 0.8 }, "trigger": { "schedule": { "interval": "1m" } }, "input": { "search": { "request": { "indices": [ ".marvel-*" ], "types": "node_stats", "search_type": "count", "body": { "query": { "filtered": { "filter": { "range": { "@timestamp": { "gte": "now-1m", "lte": "now" } } } } }, "aggs": { "minutes": { "date_histogram": { "field": "@timestamp", "interval": "5s" }, "aggs": { "nodes": { "terms": { "field": "node.name.raw", "size": 10, "order": { "fielddata": "desc" } }, "aggs": { "fielddata": { "avg": { "field": "indices.fielddata.memory_size_in_bytes" } } } } } } } } } } }, "throttle_period": "30m", "condition": { "script": "if (ctx.payload.aggregations.minutes.buckets.size() == 0) return false; def latest = ctx.payload.aggregations.minutes.buckets[-1]; def node = latest.nodes.buckets[0]; return node && node.fielddata && node.fielddata.value >= (ctx.metadata.fielddata_cache_size * ctx.metadata.threshold);" }, "actions": { "send_email": { "transform": { "script": "def latest = ctx.payload.aggregations.minutes.buckets[-1]; return latest.nodes.buckets.findAll({ return it.fielddata && it.fielddata.value >= (ctx.metadata.fielddata_cache_size * ctx.metadata.threshold) }).collect({ it.fielddata.percent = Math.round((it.fielddata.value/ctx.metadata.fielddata_cache_size)*100); it });" }, "email": { "to": "<username>@<domainname>", "subject": "Watcher Notification - NODES WITH 80% FIELDDATA UTILIZATION", "body": "Nodes with 80% FIELDDATA UTILIZATION (above 80%):\n\n{{#ctx.payload._value}}\"{{key}}\" - Fielddata utilization is at {{fielddata.value}} bytes ({{fielddata.percent}}%)\n{{/ctx.payload._value}}" } } }}
6.监控集群节点
每分钟执行一次,如果有Node加入或者离开集群,则发送预警邮件。
PUT _watcher/watch/node_event{ "trigger": { "schedule": { "interval": "60s" } }, "input": { "search": { "request": { "indices": [ ".marvel-*" ], "search_type": "query_then_fetch", "body": { "query": { "filtered": { "query": { "bool": { "should": [ { "match": { "event": "node_left" } }, { "match": { "event": "node_joined" } } ] } }, "filter": { "range": { "@timestamp": { "from": "{{ctx.trigger.scheduled_time}}||-60s", "to": "{{ctx.trigger.triggered_time}}" } } } } }, "fields": [ "event", "message", "cluster_name" ], "sort": [ { "@timestamp": { "order": "desc" } } ] } } } }, "throttle_period": "60s", "condition": { "script": { "inline": "ctx.payload.hits.size() > 0 " } }, "actions": { "send_email": { "email": { "to": "<username>@<domainname>", "subject": "{{ctx.payload.hits.hits.0.fields.event}} the cluster", "body": "{{ctx.payload.hits.hits.0.fields.message}} the cluster {{ctx.payload.hits.hits.0.fields.cluster_name}} " } } }}
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