关于linux:使用Prometheus监控docker-compose方式部署的ES

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需要

收集 ES 的指标, 并进行展现和告警;

现状

  1. ES 通过 docker compose 装置
  2. 所在环境的 K8S 集群有 Prometheus 和 AlertManager 及 Grafana

计划

复用现有的监控体系, 通过: Prometheus 监控 ES.

具体实现为:

采集端 elasticsearch_exporter

能够监控的指标为:

Name Type Cardinality Help
elasticsearch_breakers_estimated_size_bytes gauge 4 Estimated size in bytes of breaker
elasticsearch_breakers_limit_size_bytes gauge 4 Limit size in bytes for breaker
elasticsearch_breakers_tripped counter 4 tripped for breaker
elasticsearch_cluster_health_active_primary_shards gauge 1 The number of primary shards in your cluster. This is an aggregate total across all indices.
elasticsearch_cluster_health_active_shards gauge 1 Aggregate total of all shards across all indices, which includes replica shards.
elasticsearch_cluster_health_delayed_unassigned_shards gauge 1 Shards delayed to reduce reallocation overhead
elasticsearch_cluster_health_initializing_shards gauge 1 Count of shards that are being freshly created.
elasticsearch_cluster_health_number_of_data_nodes gauge 1 Number of data nodes in the cluster.
elasticsearch_cluster_health_number_of_in_flight_fetch gauge 1 The number of ongoing shard info requests.
elasticsearch_cluster_health_number_of_nodes gauge 1 Number of nodes in the cluster.
elasticsearch_cluster_health_number_of_pending_tasks gauge 1 Cluster level changes which have not yet been executed
elasticsearch_cluster_health_task_max_waiting_in_queue_millis gauge 1 Max time in millis that a task is waiting in queue.
elasticsearch_cluster_health_relocating_shards gauge 1 The number of shards that are currently moving from one node to another node.
elasticsearch_cluster_health_status gauge 3 Whether all primary and replica shards are allocated.
elasticsearch_cluster_health_timed_out gauge 1 Number of cluster health checks timed out
elasticsearch_cluster_health_unassigned_shards gauge 1 The number of shards that exist in the cluster state, but cannot be found in the cluster itself.
elasticsearch_clustersettings_stats_max_shards_per_node gauge 0 Current maximum number of shards per node setting.
elasticsearch_filesystem_data_available_bytes gauge 1 Available space on block device in bytes
elasticsearch_filesystem_data_free_bytes gauge 1 Free space on block device in bytes
elasticsearch_filesystem_data_size_bytes gauge 1 Size of block device in bytes
elasticsearch_filesystem_io_stats_device_operations_count gauge 1 Count of disk operations
elasticsearch_filesystem_io_stats_device_read_operations_count gauge 1 Count of disk read operations
elasticsearch_filesystem_io_stats_device_write_operations_count gauge 1 Count of disk write operations
elasticsearch_filesystem_io_stats_device_read_size_kilobytes_sum gauge 1 Total kilobytes read from disk
elasticsearch_filesystem_io_stats_device_write_size_kilobytes_sum gauge 1 Total kilobytes written to disk
elasticsearch_indices_active_queries gauge 1 The number of currently active queries
elasticsearch_indices_docs gauge 1 Count of documents on this node
elasticsearch_indices_docs_deleted gauge 1 Count of deleted documents on this node
elasticsearch_indices_docs_primary gauge Count of documents with only primary shards on all nodes
elasticsearch_indices_fielddata_evictions counter 1 Evictions from field data
elasticsearch_indices_fielddata_memory_size_bytes gauge 1 Field data cache memory usage in bytes
elasticsearch_indices_filter_cache_evictions counter 1 Evictions from filter cache
elasticsearch_indices_filter_cache_memory_size_bytes gauge 1 Filter cache memory usage in bytes
elasticsearch_indices_flush_time_seconds counter 1 Cumulative flush time in seconds
elasticsearch_indices_flush_total counter 1 Total flushes
elasticsearch_indices_get_exists_time_seconds counter 1 Total time get exists in seconds
elasticsearch_indices_get_exists_total counter 1 Total get exists operations
elasticsearch_indices_get_missing_time_seconds counter 1 Total time of get missing in seconds
elasticsearch_indices_get_missing_total counter 1 Total get missing
elasticsearch_indices_get_time_seconds counter 1 Total get time in seconds

展现端 基于 Grafana

📚️ Reference:

ElasticSearch dashboard for Grafana | Grafana Labs

告警指标 基于 prometheus alertmanager

📚️ Reference:

ElasticSearch:https://awesome-prometheus-al…

施行步骤

以下为手动施行步骤

Docker Compose

docker pull quay.io/prometheuscommunity/elasticsearch-exporter:v1.3.0

docker-compose.yml 示例:

🐾 Warning:

exporter 在每次刮削时都会从 ElasticSearch 集群中获取信息,因而过短的刮削距离会给 ES 主节点带来负载,特地是当你应用 --es.all--es.indices 运行时。咱们倡议你测量获取 /_nodes/stats/_all/_stats对你的 ES 集群来说须要多长时间,以确定你的刮削距离是否太短。

原 ES 的 docker-copmose.yml 示例如下:

version: '3'
services:
  elasticsearch:
    image: elasticsearch-plugins:6.8.18
    ...
    ports:
      - 9200:9200
      - 9300:9300
    restart: always

减少了 elasticsearch_exporter 的 yaml 如下:

version: '3'
services:
  elasticsearch:
    image: elasticsearch-plugins:6.8.18
    ...
    ports:
      - 9200:9200
      - 9300:9300
    restart: always
  elasticsearch_exporter:
      image: quay.io/prometheuscommunity/elasticsearch-exporter:v1.3.0
      command: 
      - '--es.uri=http://elasticsearch:9200'
      - '--es.all'
      - '--es.indices'
      - '--es.indices_settings'
      - '--es.indices_mappings'
      - '--es.shards'
      - '--es.snapshots'
      - '--es.timeout=30s'      
      restart: always
      ports:
      - "9114:9114"    

Prometheus 配置调整

prometheus 配置

Prometheus 减少动态抓取配置:

scrape_configs:
  - job_name: "es"
    static_configs:
      - targets: ["x.x.x.x:9114"]

阐明:

x.x.x.x 为 ES Exporter IP, 因为 ES Exporter 通过 docker compose 和 ES 部署在同一台机器, 所以这个 IP 也是 ES 的 IP.

Prometheus Rules

减少 ES 相干的 Prometheus Rules:

groups:
  - name: elasticsearch
    rules:
      - record: elasticsearch_filesystem_data_used_percent
        expr: 100 * (elasticsearch_filesystem_data_size_bytes - elasticsearch_filesystem_data_free_bytes)
          / elasticsearch_filesystem_data_size_bytes
      - record: elasticsearch_filesystem_data_free_percent
        expr: 100 - elasticsearch_filesystem_data_used_percent
      - alert: ElasticsearchTooFewNodesRunning
        expr: elasticsearch_cluster_health_number_of_nodes < 3
        for: 0m
        labels:
          severity: critical
        annotations:
          description: "Missing node in Elasticsearch cluster\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
          summary: ElasticSearch running on less than 3 nodes(instance {{ $labels.instance}}, node {{$labels.node}})
      - alert: ElasticsearchDiskSpaceLow
        expr: elasticsearch_filesystem_data_free_percent < 20
        for: 2m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch disk space low (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "The disk usage is over 80%\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchDiskOutOfSpace
        expr: elasticsearch_filesystem_data_free_percent < 10
        for: 0m
        labels:
          severity: critical
        annotations:
          summary: Elasticsearch disk out of space (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "The disk usage is over 90%\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchHeapUsageWarning
        expr: (elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"}) * 100 > 80
        for: 2m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch Heap Usage warning (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "The heap usage is over 80%\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchHeapUsageTooHigh
        expr: (elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"}) * 100 > 90
        for: 2m
        labels:
          severity: critical
        annotations:
          summary: Elasticsearch Heap Usage Too High (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "The heap usage is over 90%\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchClusterRed
        expr: elasticsearch_cluster_health_status{color="red"} == 1
        for: 0m
        labels:
          severity: critical
        annotations:
          summary: Elasticsearch Cluster Red (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elastic Cluster Red status\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchClusterYellow
        expr: elasticsearch_cluster_health_status{color="yellow"} == 1
        for: 0m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch Cluster Yellow (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elastic Cluster Yellow status\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchHealthyDataNodes
        expr: elasticsearch_cluster_health_number_of_data_nodes < 3
        for: 0m
        labels:
          severity: critical
        annotations:
          summary: Elasticsearch Healthy Data Nodes (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Missing data node in Elasticsearch cluster\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchRelocatingShards
        expr: elasticsearch_cluster_health_relocating_shards > 0
        for: 0m
        labels:
          severity: info
        annotations:
          summary: Elasticsearch relocating shards (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch is relocating shards\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchRelocatingShardsTooLong
        expr: elasticsearch_cluster_health_relocating_shards > 0
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch relocating shards too long (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch has been relocating shards for 15min\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchInitializingShards
        expr: elasticsearch_cluster_health_initializing_shards > 0
        for: 0m
        labels:
          severity: info
        annotations:
          summary: Elasticsearch initializing shards (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch is initializing shards\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchInitializingShardsTooLong
        expr: elasticsearch_cluster_health_initializing_shards > 0
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch initializing shards too long (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch has been initializing shards for 15 min\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchUnassignedShards
        expr: elasticsearch_cluster_health_unassigned_shards > 0
        for: 0m
        labels:
          severity: critical
        annotations:
          summary: Elasticsearch unassigned shards (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch has unassigned shards\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchPendingTasks
        expr: elasticsearch_cluster_health_number_of_pending_tasks > 0
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch pending tasks (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "Elasticsearch has pending tasks. Cluster works slowly.\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"
      - alert: ElasticsearchNoNewDocuments
        expr: increase(elasticsearch_indices_docs{es_data_node="true"}[10m]) < 1
        for: 0m
        labels:
          severity: warning
        annotations:
          summary: Elasticsearch no new documents (instance {{ $labels.instance}}, node {{$labels.node}})
          description: "No new documents for 10 min!\n  VALUE = {{$value}}\n  LABELS = {{$labels}}"

并重启失效.

🐾Warning:

  • ElasticsearchTooFewNodesRunning 告警的条件是 es 集群的 node 少于 3 个, 对于单节点 ES 会误报, 所以按需开启 rule 或按需屏蔽(slience).
  • ElasticsearchHealthyDataNodes 告警同上.

AlertManager 告警规定及收件人配置

按需调整, 示例如下:

'global':
  'smtp_smarthost': '''smtp_from': '''smtp_require_tls': false
  'resolve_timeout': '5m'
'receivers':
  - 'name': 'es-email'
    'email_configs':
      - 'to': 'sfw@example.com,sdfwef@example.com'
        'send_resolved': true
'route':
  'group_by':
    - 'job'
  'group_interval': '5m'
  'group_wait': '30s'
  'routes':
    - 'receiver': 'es-email'
      'match':
        'job': 'es'

并重启失效.

Grafana 配置

导入 json 格局的 Grafana Dashboard: (残缺 Dashboard 能够间接通过 Grafana 搜寻获取)

{"__inputs": [],
    "__requires": [
        {
            "type": "grafana",
            "id": "grafana",
            "name": "Grafana",
            "version": "5.4.0"
        },
        {
            "type": "panel",
            "id": "graph",
            "name": "Graph",
            "version": "5.0.0"
        },
        {
            "type": "datasource",
            "id": "prometheus",
            "name": "Prometheus",
            "version": "5.0.0"
        },
        {
            "type": "panel",
            "id": "singlestat",
            "name": "Singlestat",
            "version": "5.0.0"
        }
    ],
    "annotations": {
        "list": [
            {
                "builtIn": 1,
                "datasource": "-- Grafana --",
                "enable": true,
                "hide": true,
                "iconColor": "rgba(0, 211, 255, 1)",
                "name": "Annotations & Alerts",
                "type": "dashboard"
            }
        ]
    },
    "editable": true,
    "gnetId": null,
    "graphTooltip": 1,
    "id": null,
    "iteration": 1549021227642,
    "links": [],
    "panels": [
        {
            "gridPos": {
                "h": 1,
                "w": 24,
                "x": 0,
                "y": 0
            },
            "id": 90,
            "title": "Cluster",
            "type": "row"
        },
        {
            "cacheTimeout": null,
            "colorBackground": true,
            "colorPostfix": false,
            "colorPrefix": false,
            "colorValue": false,
            "colors": [
                "#299c46",
                "rgba(237, 129, 40, 0.89)",
                "#d44a3a"
            ],
            "format": "none",
            "gauge": {
                "maxValue": 100,
                "minValue": 0,
                "show": false,
                "thresholdLabels": false,
                "thresholdMarkers": true
            },
            "gridPos": {
                "h": 3,
                "w": 12,
                "x": 0,
                "y": 1
            },
            "id": 92,
            "interval": null,
            "links": [],
            "mappingType": 1,
            "mappingTypes": [
                {
                    "name": "value to text",
                    "value": 1
                },
                {
                    "name": "range to text",
                    "value": 2
                }
            ],
            "maxDataPoints": 100,
            "nullPointMode": "connected",
            "nullText": null,
            "postfix": "","postfixFontSize":"50%","prefix":"",
            "prefixFontSize": "50%",
            "rangeMaps": [
                {
                    "from": "null",
                    "text": "N/A",
                    "to": "null"
                }
            ],
            "sparkline": {"fillColor": "rgba(31, 118, 189, 0.18)",
                "full": false,
                "lineColor": "rgb(31, 120, 193)",
                "show": false
            },
            "tableColumn": "Value",
            "targets": [
                {"expr": "scalar(elasticsearch_cluster_health_status{color=\"green\",cluster=~\"$cluster\"}) + scalar(elasticsearch_cluster_health_status{color=\"yellow\",cluster=~\"$cluster\"}) * 2 + scalar(elasticsearch_cluster_health_status{color=\"red\",cluster=~\"$cluster\"}) * 3",
                    "format": "time_series",
                    "instant": false,
                    "intervalFactor": 1,
                    "legendFormat": "","refId":"A"
                }
            ],
...

📚️ 参考文档

  • prometheus-community/elasticsearch_exporter: Elasticsearch stats exporter for Prometheus (github.com)
  • ElasticSearch dashboard for Grafana | Grafana Labs
  • Awesome Prometheus alerts | Collection of alerting rules (grep.to)

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