Monitor cluster health, including node count, shard status, and cluster states Track index stats like document count, indexing rate, memory usage, and maintenance metrics Analyze search, cache, and thread pool metrics to identify bottlenecks and optimize performance Access JVM, circuit breaker, OS, ...
在Elasticsearch中,集群由一个或多个节点组成,如下所示: 每个节点都是Elasticsearch的单个运行实例,其elasticsearch.yml配置文件指定它所属的集群(cluster.name)以及它可以是什么类型的节点。 也可以通过命令行参数指定配置文件中设置的任何属性(包括集群名称)。 上图中的集群由一个专用主节点和五个数据节点组成。 Elasti...
Performance tuning and monitoring forElasticsearchinvolve various strategies to optimize search speed and ensure efficient cluster operation. Here are key considerations based on the provided sources: 1. **Tune for Search Speed**: - Utilize options like `index_phrases` for faster phrase queries and `...
# 1. 配置新节点的elasticsearch.yml cluster.name: my-cluster node.name: node-4 network.host: 0.0.0.0 discovery.seed_hosts: ["node-1", "node-2", "node-3"] cluster.initial_master_nodes: ["node-1", "node-2", "node-3"] # 2. 启动新节点 ./bin/elasticsearch 1. 2. 3. 4. 5. ...
使用Elasticsearch提供的监控工具(如Elasticsearch Monitoring API、Elasticsearch Head插件、iostat命令等)来监控节点的I/O性能。如果发现I/O成为瓶颈,可以考虑增加磁盘数量、使用RAID配置或调整Elasticsearch的索引和查询策略来优化性能。 配置Elasticsearch的I/O设置 在elasticsearch.yml配置文件中,可以设置与I/O相关的参数,如...
Search and indexing performance(搜索、索引性能) Memory and garbage collection Host-level system and network metrics Cluster health and node availability Resource saturation(饱和) and errors 这里提供了一个metric搜集和监控的框架Monitoring 101 series,所有这些指标都可以通过Elasticsearch的API以及Elasticsearch的Marv...
本文引用了Monitoring 101系列的标准术语,它为度量、收集和警报提供了一个框架。所有这些指标都可以通过Elasticsearch的API以及Elastic的Marvel和通用监控服务(如Datadog)等单一目的监控工具访问。 1、搜索效果指标 搜索请求是Elasticsearch中的两个主要请求类型之一(另一个是索引请求)。这些请求有时类似于传统数据库系统中的...
Index monitoring helps to monitor the index usage and trends of a cluster, allowing users to handle potential risks in a timely manner to ensure cluster reliability. Inde
"cluster_name": "elasticsearch_zach", "nodes": { "UNr6ZMf5Qk-YCPA_L18BOQ": { "timestamp": 1408474151742, "name": "Zach", "transport_address": "inet[zacharys-air/192.168.1.131:9300]", "host": "zacharys-air", "ip": [
In production, we strongly recommend using a separate monitoring cluster. Using a separate monitoring cluster prevents production cluster outages from impacting your ability to access your monitoring data. It also prevents monitoring activities from impacting the performance of your production cluster. For...