带你读《Apache Dubbo微服务开发从入门到精通》——二、 微服务集群监控(3)

简介: 带你读《Apache Dubbo微服务开发从入门到精通》——二、 微服务集群监控(3)

《Apache Dubbo微服务开发从入门到精通》——可视化监测服务状态——二、 微服务集群监控(2) https://developer.aliyun.com/article/1224286



2) 本地聚合

 

本地聚合指将一些简单的指标通过计算获取各分位数指标的过程

 

a) 参数设计

 

收集指标时,默认只收集基础指标,而一些单机聚合指标则需要开启服务柔性或者本地聚合后另起线程计算。此处若开启服务柔性,则本地聚合默认开启

 

本地聚合开启方式

 

image.png

 

指标聚合参数

 

image.png

b) 具体指标

 

Dubbo的指标模块帮助用户从外部观察正在运行的系统的内部服务状况,Dubbo参考“四大黄金信号”RED方法、USE方法等理论并结合实际企业应用场景从不同维度统计了丰富的关键指标,关注这些核心指标对于提供可用性的服务是至关重要的。

 

Dubbo的关键指标包含:延迟(Latency)、流量(Traffic)、错误(Errors)和饱和度(Saturation)等内容。同时,为了更好的监测服务运行状态,Dubbo还提供了对核心组件状态的监控,如Dubbo应用信息、线程池信息、三大中心交互的指标数据等。

 

在Dubbo中主要包含如下监控指标:

 

 

基础设施

业务监控

延迟类

IO等待;网络延迟;

接口、服务的平均耗时、TP90、TP99、TP999等

流量类

网络和磁盘IO;

服务层面的QPS、

错误类

宕机;磁盘(坏盘或文件系统错误);进程或端口挂掉;网络丢包;

错误日志业务状态码、错误码走势;

饱和度类

系统资源利用率:CPU、内存、磁盘、网络等;饱和度:等待线程数,队列积压长度;

这里主要包含JVM、线程池等

 

Qps基于滑动窗口获取动态qps

rt基于滑动窗口获取动态rt

失败请求数: 基于滑动窗口获取最近时间内的失败请求数

成功请求数: 基于滑动窗口获取最近时间内的成功请求数

处理中请求数: 前后增加Filter简单统计

具体指标依赖滑动窗口,额外使用AggregateMetricsCollector收集

 

输出到普罗米修斯的相关指标可以参考的内容如下:


# HELP jvm_gc_live_data_size_bytes Size of long-lived heap memory pool after reclamation
# TYPE jvm_gc_live_data_size_bytes gauge
jvm_gc_live_data_size_bytes 1.6086528E7
# HELP requests_succeed_aggregate Aggregated Succeed Requests
# TYPE requests_succeed_aggregate gauge
requests_succeed_aggregate{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 39.0
# HELP jvm_buffer_memory_used_bytes An estimate of the memory that the Java virtual machine is using for this buffer pool
# TYPE jvm_buffer_memory_used_bytes gauge
jvm_buffer_memory_used_bytes{id="direct",} 1.679975E7
jvm_buffer_memory_used_bytes{id="mapped",} 0.0
# HELP jvm_gc_memory_allocated_bytes_total Incremented for an increase in the size of the (young) heap memory pool after one GC to before the next
# TYPE jvm_gc_memory_allocated_bytes_total counter
jvm_gc_memory_allocated_bytes_total 2.9884416E9
# HELP requests_total_aggregate Aggregated Total Requests
# TYPE requests_total_aggregate gauge
requests_total_aggregate{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 39.0
# HELP system_load_average_1m The sum of the number of runnable entities queued to available processors and the number of runnable entities running on the available processors averaged over a period of time
# TYPE system_load_average_1m gauge
system_load_average_1m 0.0
# HELP system_cpu_usage The "recent cpu usage" for the whole system
# TYPE system_cpu_usage gauge
system_cpu_usage 0.015802269043760128
# HELP jvm_threads_peak_threads The peak live thread count since the Java virtual machine started or peak was reset
# TYPE jvm_threads_peak_threads gauge
jvm_threads_peak_threads 40.0
# HELP requests_processing Processing Requests
# TYPE requests_processing gauge
requests_processing{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.0
# HELP jvm_memory_max_bytes The maximum amount of memory in bytes that can be used for memory management
# TYPE jvm_memory_max_bytes gauge
jvm_memory_max_bytes{area="nonheap",id="CodeHeap 'profiled nmethods'",} 1.22912768E8
jvm_memory_max_bytes{area="heap",id="G1 Survivor Space",} -1.0
jvm_memory_max_bytes{area="heap",id="G1 Old Gen",} 9.52107008E8
jvm_memory_max_bytes{area="nonheap",id="Metaspace",} -1.0
jvm_memory_max_bytes{area="heap",id="G1 Eden Space",} -1.0
jvm_memory_max_bytes{area="nonheap",id="CodeHeap 'non-nmethods'",} 5828608.0
jvm_memory_max_bytes{area="nonheap",id="Compressed Class Space",} 1.073741824E9
jvm_memory_max_bytes{area="nonheap",id="CodeHeap 'non-profiled nmethods'",} 1.22916864E8
# HELP jvm_threads_states_threads The current number of threads having BLOCKED state
# TYPE jvm_threads_states_threads gauge
jvm_threads_states_threads{state="blocked",} 0.0
jvm_threads_states_threads{state="runnable",} 10.0
jvm_threads_states_threads{state="waiting",} 16.0
jvm_threads_states_threads{state="timed-waiting",} 13.0
jvm_threads_states_threads{state="new",} 0.0
jvm_threads_states_threads{state="terminated",} 0.0
# HELP jvm_buffer_total_capacity_bytes An estimate of the total capacity of the buffers in this pool
# TYPE jvm_buffer_total_capacity_bytes gauge
jvm_buffer_total_capacity_bytes{id="direct",} 1.6799749E7
jvm_buffer_total_capacity_bytes{id="mapped",} 0.0
# HELP rt_p99 Response Time P99
# TYPE rt_p99 gauge
rt_p99{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 1.0
# HELP jvm_memory_used_bytes The amount of used memory
# TYPE jvm_memory_used_bytes gauge
jvm_memory_used_bytes{area="heap",id="G1 Survivor Space",} 1048576.0
jvm_memory_used_bytes{area="nonheap",id="CodeHeap 'profiled nmethods'",} 1.462464E7
jvm_memory_used_bytes{area="heap",id="G1 Old Gen",} 1.6098728E7
jvm_memory_used_bytes{area="nonheap",id="Metaspace",} 4.0126952E7
jvm_memory_used_bytes{area="heap",id="G1 Eden Space",} 8.2837504E7
jvm_memory_used_bytes{area="nonheap",id="CodeHeap 'non-nmethods'",} 1372032.0
jvm_memory_used_bytes{area="nonheap",id="Compressed Class Space",} 4519248.0
jvm_memory_used_bytes{area="nonheap",id="CodeHeap 'non-profiled nmethods'",} 5697408.0
# HELP qps Query Per Seconds
# TYPE qps gauge
qps{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.3333333333333333
# HELP rt_min Min Response Time
# TYPE rt_min gauge
rt_min{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.0
# HELP jvm_buffer_count_buffers An estimate of the number of buffers in the pool
# TYPE jvm_buffer_count_buffers gauge
jvm_buffer_count_buffers{id="mapped",} 0.0
jvm_buffer_count_buffers{id="direct",} 10.0
# HELP system_cpu_count The number of processors available to the Java virtual machine
# TYPE system_cpu_count gauge
system_cpu_count 2.0
# HELP jvm_classes_loaded_classes The number of classes that are currently loaded in the Java virtual machine
# TYPE jvm_classes_loaded_classes gauge
jvm_classes_loaded_classes 7325.0
# HELP rt_total Total Response Time
# TYPE rt_total gauge
rt_total{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 2783.0
# HELP rt_last Last Response Time
# TYPE rt_last gauge
rt_last{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.0
# HELP jvm_gc_memory_promoted_bytes_total Count of positive increases in the size of the old generation memory pool before GC to after GC
# TYPE jvm_gc_memory_promoted_bytes_total counter
jvm_gc_memory_promoted_bytes_total 1.4450952E7
# HELP jvm_gc_pause_seconds Time spent in GC pause
# TYPE jvm_gc_pause_seconds summary
jvm_gc_pause_seconds_count{action="end of minor GC",cause="Metadata GC Threshold",} 2.0
jvm_gc_pause_seconds_sum{action="end of minor GC",cause="Metadata GC Threshold",} 0.026
jvm_gc_pause_seconds_count{action="end of minor GC",cause="G1 Evacuation Pause",} 37.0
jvm_gc_pause_seconds_sum{action="end of minor GC",cause="G1 Evacuation Pause",} 0.156
# HELP jvm_gc_pause_seconds_max Time spent in GC pause
# TYPE jvm_gc_pause_seconds_max gauge
jvm_gc_pause_seconds_max{action="end of minor GC",cause="Metadata GC Threshold",} 0.0
jvm_gc_pause_seconds_max{action="end of minor GC",cause="G1 Evacuation Pause",} 0.0
# HELP rt_p95 Response Time P95
# TYPE rt_p95 gauge
rt_p95{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.0
# HELP requests_total Total Requests
# TYPE requests_total gauge
requests_total{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 27738.0
# HELP process_cpu_usage The "recent cpu usage" for the Java Virtual Machine process
# TYPE process_cpu_usage gauge
process_cpu_usage 8.103727714748784E-4
# HELP rt_max Max Response Time
# TYPE rt_max gauge
rt_max{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 4.0
# HELP jvm_gc_max_data_size_bytes Max size of long-lived heap memory pool
# TYPE jvm_gc_max_data_size_bytes gauge
jvm_gc_max_data_size_bytes 9.52107008E8
# HELP jvm_threads_live_threads The current number of live threads including both daemon and non-daemon threads
# TYPE jvm_threads_live_threads gauge
jvm_threads_live_threads 39.0
# HELP jvm_threads_daemon_threads The current number of live daemon threads
# TYPE jvm_threads_daemon_threads gauge
jvm_threads_daemon_threads 36.0
# HELP jvm_classes_unloaded_classes_total The total number of classes unloaded since the Java virtual machine has started execution
# TYPE jvm_classes_unloaded_classes_total counter
jvm_classes_unloaded_classes_total 0.0
# HELP jvm_memory_committed_bytes The amount of memory in bytes that is committed for the Java virtual machine to use
# TYPE jvm_memory_committed_bytes gauge
jvm_memory_committed_bytes{area="nonheap",id="CodeHeap 'profiled nmethods'",} 1.4680064E7
jvm_memory_committed_bytes{area="heap",id="G1 Survivor Space",} 1048576.0
jvm_memory_committed_bytes{area="heap",id="G1 Old Gen",} 5.24288E7
jvm_memory_committed_bytes{area="nonheap",id="Metaspace",} 4.1623552E7
jvm_memory_committed_bytes{area="heap",id="G1 Eden Space",} 9.0177536E7
jvm_memory_committed_bytes{area="nonheap",id="CodeHeap 'non-nmethods'",} 2555904.0
jvm_memory_committed_bytes{area="nonheap",id="Compressed Class Space",} 5111808.0
jvm_memory_committed_bytes{area="nonheap",id="CodeHeap 'non-profiled nmethods'",} 5701632.0
# HELP requests_succeed Succeed Requests
# TYPE requests_succeed gauge
requests_succeed{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 27738.0
# HELP rt_avg Average Response Time
# TYPE rt_avg gauge
rt_avg{application_name="metrics-provider",group="",hostname="iZ8lgm9icspkthZ",interface="org.apache.dubbo.samples.metrics.prometheus.api.DemoService",ip="172.28.236.104",method="sayHello",version="",} 0.0


《Apache Dubbo微服务开发从入门到精通》——可视化监测服务状态——二、 微服务集群监控(4) https://developer.aliyun.com/article/1224283


相关文章
|
人工智能 安全 Java
智慧工地源码,Java语言开发,微服务架构,支持分布式和集群部署,多端覆盖
智慧工地是“互联网+建筑工地”的创新模式,基于物联网、移动互联网、BIM、大数据、人工智能等技术,实现对施工现场人员、设备、材料、安全等环节的智能化管理。其解决方案涵盖数据大屏、移动APP和PC管理端,采用高性能Java微服务架构,支持分布式与集群部署,结合Redis、消息队列等技术确保系统稳定高效。通过大数据驱动决策、物联网实时监测预警及AI智能视频监控,消除数据孤岛,提升项目可控性与安全性。智慧工地提供专家级远程管理服务,助力施工质量和安全管理升级,同时依托可扩展平台、多端应用和丰富设备接口,满足多样化需求,推动建筑行业数字化转型。
442 5
|
人工智能 Java 数据库
飞算 JavaAI:革新电商订单系统 Spring Boot 微服务开发
在电商订单系统开发中,传统方式耗时约30天,需应对复杂代码、调试与测试。飞算JavaAI作为一款AI代码生成工具,专注于简化Spring Boot微服务开发。它能根据业务需求自动生成RESTful API、数据库交互及事务管理代码,将开发时间缩短至1小时,效率提升80%。通过减少样板代码编写,提供规范且准确的代码,飞算JavaAI显著降低了开发成本,为软件开发带来革新动力。
|
人工智能 Dubbo 应用服务中间件
使用 Apache Dubbo 释放 DeepSeek R1 的全部潜力
本文介绍了如何利用 Apache Dubbo 的多语言 SDK 充分释放 DeepSeek R1 的全部潜力,助力 AI 开发的高效落地。
543 104
|
11月前
|
IDE Java API
Java 17 新特性与微服务开发的实操指南
本内容涵盖Java 11至Java 17最新特性实战,包括var关键字、字符串增强、模块化系统、Stream API、异步编程、密封类等,并提供图书管理系统实战项目,帮助开发者掌握现代Java开发技巧与工具。
688 0
|
人工智能 数据可视化 JavaScript
颠覆开发效率!国内首个微服务编排框架Juggle开源啦!
Juggle是国内首个开源的微服务编排框架,专注于解决企业微服务进程中接口重复开发、系统对接复杂等问题。它提供零代码、低代码和AI增强功能,通过可视化拖拽快速组装简单API为复杂接口,支持多协议、多语言脚本和流程多版本管理。相比国外框架如Conductor,Juggle更贴合国内需求,具备高效开发、企业级可靠性及信创适配等优势,助力企业实现敏捷创新与数字化转型。
1103 0
颠覆开发效率!国内首个微服务编排框架Juggle开源啦!
|
12月前
|
Java API 微服务
Java 21 与 Spring Boot 3.2 微服务开发从入门到精通实操指南
《Java 21与Spring Boot 3.2微服务开发实践》摘要: 本文基于Java 21和Spring Boot 3.2最新特性,通过完整代码示例展示了微服务开发全流程。主要内容包括:1) 使用Spring Initializr初始化项目,集成Web、JPA、H2等组件;2) 配置虚拟线程支持高并发;3) 采用记录类优化DTO设计;4) 实现JPA Repository与Stream API数据访问;5) 服务层整合虚拟线程异步处理和结构化并发;6) 构建RESTful API并使用Springdoc生成文档。文中特别演示了虚拟线程配置(@Async)和StructuredTaskSco
1231 0
|
消息中间件 运维 安全
后端开发中的微服务架构实践与挑战####
在数字化转型的浪潮中,微服务架构凭借其高度的灵活性和可扩展性,成为众多企业重构后端系统的首选方案。本文将深入探讨微服务的核心概念、设计原则、关键技术选型及在实际项目实施过程中面临的挑战与解决方案,旨在为开发者提供一套实用的微服务架构落地指南。我们将从理论框架出发,逐步深入至技术细节,最终通过案例分析,揭示如何在复杂业务场景下有效应用微服务,提升系统的整体性能与稳定性。 ####
365 32
|
运维 监控 Java
后端开发中的微服务架构实践与挑战####
在数字化转型加速的今天,微服务架构凭借其高度的灵活性、可扩展性和可维护性,成为众多企业后端系统构建的首选方案。本文深入探讨了微服务架构的核心概念、实施步骤、关键技术考量以及面临的主要挑战,旨在为开发者提供一份实用的实践指南。通过案例分析,揭示微服务在实际项目中的应用效果,并针对常见问题提出解决策略,帮助读者更好地理解和应对微服务架构带来的复杂性与机遇。 ####
|
监控 JavaScript 数据可视化
建筑施工一体化信息管理平台源码,支持微服务架构,采用Java、Spring Cloud、Vue等技术开发。
智慧工地云平台是专为建筑施工领域打造的一体化信息管理平台,利用大数据、云计算、物联网等技术,实现施工区域各系统数据汇总与可视化管理。平台涵盖人员、设备、物料、环境等关键因素的实时监控与数据分析,提供远程指挥、决策支持等功能,提升工作效率,促进产业信息化发展。系统由PC端、APP移动端及项目、监管、数据屏三大平台组成,支持微服务架构,采用Java、Spring Cloud、Vue等技术开发。
642 7
|
Dubbo 应用服务中间件 Apache
Star 4w+,Apache Dubbo 3.3 全新发布,Triple X 领衔,开启微服务通信新时代
Star 4w+,Apache Dubbo 3.3 全新发布,Triple X 领衔,开启微服务通信新时代
256 0

热门文章

最新文章

推荐镜像

更多