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[经验分享] 8.ElasticSearch预警服务-Watcher详解-监控Marvel数据

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发表于 2017-5-21 10:25:07 | 显示全部楼层 |阅读模式
  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": "user@example.com",
"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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