使用Prometheus监控docker compose方式部署

作者: 东风微鸣 | 来源:发表于2022-11-24 10:14 被阅读0次

需求

收集 ES 的指标, 并进行展示和告警;

现状

ES 通过 docker compose 安装
所在环境的 K8S 集群有 Prometheus 和 AlertManager 及 Grafana

方案

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`

可以监控的指标为:

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

...

展示端基于Grafana

📚️ Reference:

ElasticSearch dashboard for Grafana | Grafana Labs

Grafana ES 仪表板

告警指标基于prometheus alertmanager

📚️ Reference:

ElasticSearch：https://awesome-prometheus-alerts.grep.to/rules.html#elasticsearch-1

Prometheus ES Alert 界面

实施步骤

以下为手动实施步骤

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，因此过短的刮削间隔会给 ES 主节点带来负载，特别是当你使用 --es.all 和 --es.indices 运行时。我们建议你测量获取/_nodes/stats和/_all/_stats对你的ES集群来说需要多长时间，以确定你的刮削间隔是否太短。

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

增加了 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 增加静态抓取配置:

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

说明:

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

增加 ES 相关的 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 }}"

并重启生效.

🐾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 告警规则及收件人配置

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'

并重启生效.

Grafana 配置

导入 json 格式的 Grafana Dashboard: (完整Dashboard可以直接通过 Grafana 搜索获取)

{
    "__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

本文由东风微鸣技术博客 EWhisper.cn 编写！

使用Prometheus监控docker compose方式部署

需求

现状

方案

采集端 `elasticsearch_exporter`

展示端基于Grafana

告警指标基于prometheus alertmanager

实施步骤

Docker Compose

Prometheus 配置调整

prometheus 配置

Prometheus Rules

AlertManager 告警规则及收件人配置

Grafana 配置

📚️ 参考文档

相关文章

网友评论

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栏目导航

热点阅读

使用Prometheus监控docker compose方式部署

需求

现状

方案

采集端 elasticsearch_exporter

展示端 基于Grafana

告警指标 基于prometheus alertmanager

实施步骤

Docker Compose

Prometheus 配置调整

prometheus 配置

Prometheus Rules

AlertManager 告警规则及收件人配置

Grafana 配置

📚️ 参考文档

相关文章

网友评论

延伸阅读

深度阅读

栏目导航

热点阅读

采集端 `elasticsearch_exporter`

展示端基于Grafana

告警指标基于prometheus alertmanager