收集 ES 的指标, 并进行展示和告警;
复用现有的监控体系, 通过: Prometheus 监控 ES.
具体实现为:
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 |
...
📚️ Reference:
ElasticSearch dashboard for Grafana | Grafana Labs
📚️ Reference:
ElasticSearch:https://awesome-prometheus-alerts.grep.to/rules.html#elasticsearch-1
以下为手动实施步骤
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- 9300:9300restart: always
增加了 elasticsearch_exporter
的yaml如下:
version: '3'
services:elasticsearch:image: elasticsearch-plugins:6.8.18...ports:- 9200:9200- 9300:9300restart: alwayselasticsearch_exporter:image: quay.io/prometheuscommunity/elasticsearch-exporter:v1.3.0command: - '--es.uri=http://elasticsearch:9200'- '--es.all'- '--es.indices'- '--es.indices_settings'- '--es.indices_mappings'- '--es.shards'- '--es.snapshots'- '--es.timeout=30s' restart: alwaysports:- "9114:9114"
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.
增加 ES 相关的 Prometheus Rules:
groups:- name: elasticsearchrules:- record: elasticsearch_filesystem_data_used_percentexpr: 100 * (elasticsearch_filesystem_data_size_bytes - elasticsearch_filesystem_data_free_bytes)/ elasticsearch_filesystem_data_size_bytes- record: elasticsearch_filesystem_data_free_percentexpr: 100 - elasticsearch_filesystem_data_used_percent- alert: ElasticsearchTooFewNodesRunningexpr: elasticsearch_cluster_health_number_of_nodes < 3for: 0mlabels:severity: criticalannotations: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: ElasticsearchDiskSpaceLowexpr: elasticsearch_filesystem_data_free_percent < 20for: 2mlabels:severity: warningannotations: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: ElasticsearchDiskOutOfSpaceexpr: elasticsearch_filesystem_data_free_percent < 10for: 0mlabels:severity: criticalannotations: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: ElasticsearchHeapUsageWarningexpr: (elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"}) * 100 > 80for: 2mlabels:severity: warningannotations: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: ElasticsearchHeapUsageTooHighexpr: (elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"}) * 100 > 90for: 2mlabels:severity: criticalannotations: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: ElasticsearchClusterRedexpr: elasticsearch_cluster_health_status{color="red"} == 1for: 0mlabels:severity: criticalannotations:summary: Elasticsearch Cluster Red (instance {{ $labels.instance }}, node {{$labels.node}})description: "Elastic Cluster Red status\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"- alert: ElasticsearchClusterYellowexpr: elasticsearch_cluster_health_status{color="yellow"} == 1for: 0mlabels:severity: warningannotations:summary: Elasticsearch Cluster Yellow (instance {{ $labels.instance }}, node {{$labels.node}})description: "Elastic Cluster Yellow status\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"- alert: ElasticsearchHealthyDataNodesexpr: elasticsearch_cluster_health_number_of_data_nodes < 3for: 0mlabels:severity: criticalannotations: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: ElasticsearchRelocatingShardsexpr: elasticsearch_cluster_health_relocating_shards > 0for: 0mlabels:severity: infoannotations:summary: Elasticsearch relocating shards (instance {{ $labels.instance }}, node {{$labels.node}})description: "Elasticsearch is relocating shards\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"- alert: ElasticsearchRelocatingShardsTooLongexpr: elasticsearch_cluster_health_relocating_shards > 0for: 15mlabels:severity: warningannotations: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: ElasticsearchInitializingShardsexpr: elasticsearch_cluster_health_initializing_shards > 0for: 0mlabels:severity: infoannotations:summary: Elasticsearch initializing shards (instance {{ $labels.instance }}, node {{$labels.node}})description: "Elasticsearch is initializing shards\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"- alert: ElasticsearchInitializingShardsTooLongexpr: elasticsearch_cluster_health_initializing_shards > 0for: 15mlabels:severity: warningannotations: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: ElasticsearchUnassignedShardsexpr: elasticsearch_cluster_health_unassigned_shards > 0for: 0mlabels:severity: criticalannotations:summary: Elasticsearch unassigned shards (instance {{ $labels.instance }}, node {{$labels.node}})description: "Elasticsearch has unassigned shards\n VALUE = {{ $value }}\n LABELS = {{ $labels }}"- alert: ElasticsearchPendingTasksexpr: elasticsearch_cluster_health_number_of_pending_tasks > 0for: 15mlabels:severity: warningannotations: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: ElasticsearchNoNewDocumentsexpr: increase(elasticsearch_indices_docs{es_data_node="true"}[10m]) < 1for: 0mlabels:severity: warningannotations: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.
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.
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"}],
...
本文由东风微鸣技术博客 EWhisper.cn 编写!