prometheus 监控之 elasticsearch5.x

安装监控插件

项目地址：https://github.com/justwatchcom/elasticsearch_exporter
插件下载地址：https://github.com/justwatchcom/elasticsearch_exporter/releases/download/v1.0.4rc1/elasticsearch_exporter-1.0.4rc1.linux-amd64.tar.gz
简单介绍下安装：

[xxx@elk-node1 ~]$ tar zxvf elasticsearch_exporter-1.0.4rc1.linux-amd64.tar.gz
[xxx@elk-node1 ~]$ cd elasticsearch_exporter 
[xxx@elk-node1 ~]$ cp elasticsearch_exporter  /usr/local/bin
[xxx@elk-node1 ~]$ /usr/local/bin/elasticsearch_exporter --web.listen-address "0.0.0.0:9109"  --es.uri http://elastic:changeme@localhost:9201
[xxx@elk-node1 ~]$ curl localhost:9109/metrics

配置prometheus

- job_name: 'elasticsearch'
  file_sd_configs:
  - refresh_interval: 1m
    files:
    - ./conf.d/es*.json

配置consul自动发现请参考：我的另一篇博客

指标解析

参考：
https://grafana.com/dashboards/2322
https://yq.aliyun.com/articles/548354
https://blog.csdn.net/u013613428/article/details/78179430

指标	解析
##搜索和索引性能
elasticsearch_indices_search_query_total	查询总数吞吐量
elasticsearch_indices_search_query_time_seconds	查询总时间性能
elasticsearch_indices_search_fetch_total	提取总数
elasticsearch_indices_search_fetch_time_seconds	花费在提取上的总时间
##索引请求
elasticsearch_indices_indexing_index_total	索引的文件总数
elasticsearch_indices_indexing_index_time_seconds_total	索引文档总时间
elasticsearch_indices_indexing_delete_total	索引的文件删除总数
elasticsearch_indices_indexing_delete_time_seconds_total	索引的文件删除总时间
elasticsearch_indices_refresh_total	索引刷新总数
elasticsearch_indices_refresh_time_seconds_total	刷新指数的总时间
elasticsearch_indices_flush_total	索引刷新总数到磁盘
elasticsearch_indices_flush_time_seconds	将索引刷新到磁盘上的总时间累计flush时间
##JVM内存和垃圾回收
elasticsearch_jvm_gc_collection_seconds_sum	GC run time in seconds垃圾回收时间
elasticsearch_jvm_gc_collection_seconds_count	Count of JVM GC runs垃圾搜集数
elasticsearch_jvm_memory_committed_bytes	JVM memory currently committed by area最大使用内存限制
elasticsearch_jvm_memory_max_bytes	配置的最大jvm值
elasticsearch_jvm_memory_pool_max_bytes	JVM内存最大池数
elasticsearch_jvm_memory_pool_peak_max_bytes	最大的JVM内存峰值
elasticsearch_jvm_memory_pool_peak_used_bytes	池使用的JVM内存峰值
elasticsearch_jvm_memory_pool_used_bytes	目前使用的JVM内存池
elasticsearch_jvm_memory_used_bytes	JVM memory currently used by area 内存使用量
##集群健康和节点可用性
elasticsearch_cluster_health_status	集群状态，green（所有的主分片和副本分片都正常运行）、yellow（所有的主分片都正常运行，但不是所有的副本分片都正常运行）red（有主分片没能正常运行）值为1的即为对应状态
elasticsearch_cluster_health_number_of_data_nodes	node节点的数量
elasticsearch_cluster_health_number_of_in_flight_fetch	正在进行的碎片信息请求的数量
elasticsearch_cluster_health_number_of_nodes	集群内所有的节点
elasticsearch_cluster_health_number_of_pending_tasks	尚未执行的集群级别更改
elasticsearch_cluster_health_initializing_shards	正在初始化的分片数
elasticsearch_cluster_health_unassigned_shards	未分配分片数
elasticsearch_cluster_health_active_primary_shards	活跃的主分片总数
elasticsearch_cluster_health_active_shards	活跃的分片总数（包括复制分片）
elasticsearch_cluster_health_relocating_shards	当前节点正在迁移到其他节点的分片数量，通常为0，集群中有节点新加入或者退出时该值会增加
##资源饱和度
elasticsearch_thread_pool_completed_count	线程池操作完成（bulk、index、search、force_merge）
elasticsearch_thread_pool_active_count	线程池线程活动（bulk、index、search、force_merge）
elasticsearch_thread_pool_largest_count	线程池最大线程数（bulk、index、search、force_merge）
elasticsearch_thread_pool_queue_count	线程池中的排队线程数（bulk、index、search、force_merge）
elasticsearch_thread_pool_rejected_count	线程池的被拒绝线程数（bulk、index、search、force_merge）
elasticsearch_indices_fielddata_memory_size_bytes	fielddata缓存的大小（字节）
elasticsearch_indices_fielddata_evictions	来自fielddata缓存的驱逐次数
elasticsearch_indices_filter_cache_evictions	来自过滤器缓存的驱逐次数（仅版本2.x）
elasticsearch_indices_filter_cache_memory_size_bytes	过滤器高速缓存的大小（字节）（仅版本2.x）
elasticsearch_cluster_health_number_of_pending_tasks	待处理任务数
elasticsearch_indices_get_time_seconds
elasticsearch_indices_get_missing_total	丢失的文件的GET请求总数
elasticsearch_indices_get_missing_time_seconds	花费在文档丢失的GET请求上的总时间
elasticsearch_indices_get_exists_time_seconds
elasticsearch_indices_get_exists_total
elasticsearch_indices_get_total
#主机级别的系统和网络指标
elasticsearch_process_cpu_percent	Percent CPU used by process CPU使用率
elasticsearch_filesystem_data_free_bytes	Free space on block device in bytes 磁盘可用空间
elasticsearch_process_open_files_count	Open file descriptors ES进程打开的文件描述符
elasticsearch_transport_rx_packets_total	Count of packets receivedES节点之间网络入流量
elasticsearch_transport_tx_packets_total	Count of packets sentES节点之间网络出流量

预警rules

groups:
- name: elasticsearchStatsAlert
  rules:
  - alert: Elastic_Cluster_Health_RED
    expr: elasticsearch_cluster_health_status{color="red"}==1 
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}"
      description: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}."
  - alert: Elastic_Cluster_Health_Yellow 
    expr: elasticsearch_cluster_health_status{color="yellow"}==1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}" 
      description: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}."
  - alert: Elasticsearch_JVM_Heap_Too_High
    expr: elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"} > 0.8
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "ElasticSearch node {{ $labels.instance }} heap usage is high "
      description: "The heap in {{ $labels.instance }} is over 80% for 15m."
  - alert: Elasticsearch_health_up
    expr: elasticsearch_cluster_health_up !=1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed"                               
      description: "ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed"
  - alert: Elasticsearch_Too_Few_Nodes_Running
    expr: elasticsearch_cluster_health_number_of_nodes < 12
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "There are only {{$value}} < 12 ElasticSearch nodes running "                               
      description: "lasticSearch running on less than 12 nodes(total 14)"
  - alert: Elasticsearch_Count_of_JVM_GC_Runs
    expr: rate(elasticsearch_jvm_gc_collection_seconds_count{}[5m])>5
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }} "
      description: "ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}"
  - alert: Elasticsearch_GC_Run_Time
    expr: rate(elasticsearch_jvm_gc_collection_seconds_sum[5m])>0.3
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}"
  - alert: Elasticsearch_json_parse_failures
    expr: elasticsearch_cluster_health_json_parse_failures>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}"
  - alert: Elasticsearch_breakers_tripped
    expr: rate(elasticsearch_breakers_tripped{}[5m])>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}"
  - alert: Elasticsearch_health_timed_out
    expr: elasticsearch_cluster_health_timed_out>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}"

prometheus 配置：

rule_files:
  - /usr/local/prometheus/rules/es*.rules

Grafana 画图

模版：链接:https://pan.baidu.com/s/1mAtVhko18gD4LxdSkuCGEg 密码:3mtd
在这里插入图片描述

如对你有所帮助记得点赞呦 ^ _ ^！

prometheus 监控之 elasticsearch5.x

安装监控插件

指标解析

预警rules

Grafana 画图

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