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. |
...
可以直接在 github 上找到完整的
📚️ Reference:
📚️ 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
- 9300:9300
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 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: 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.
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:
{
"__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"
}
],
...
可以直接在 Grafana 上找到完整的
三人行, 必有我师; 知识共享, 天下为公. 本文由东风微鸣技术博客 EWhisper.cn 编写.