prometheus 监控之 elasticsearch5

于 2024-05-16 08:36:57 发布
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文章标签： 单元测试 功能测试 学习
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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.youkuaiyun.com/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_sumGC run time in seconds垃圾回收时间
elasticsearch_jvm_gc_collection_seconds_countCount of JVM GC runs垃圾搜集数
elasticsearch_jvm_memory_committed_bytesJVM 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_bytesJVM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_bytesJVM 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_nodesnode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_bytesfielddata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_percentPercent CPU used by process CPU使用率
elasticsearch_filesystem_data_free_bytesFree space on block device in bytes 磁盘可用空间
elasticsearch_process_open_files_countOpen file descriptors ES进程打开的文件描述符
elasticsearch_transport_rx_packets_totalCount of packets receivedES节点之间网络入流量
elasticsearch_transport_tx_packets_totalCount 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:


![img](https://img-blog.csdnimg.cn/img_convert/24071f2db92674f0878a6e793b6501fc.png)
![img](https://img-blog.csdnimg.cn/img_convert/c7cf879dfad88d3b34c690747a895879.png)
![img](https://img-blog.csdnimg.cn/img_convert/da65a991076d041e3e6043e699ce960d.png)

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