metrics

Is there a way to turn off some of the returned metric values in Actuator/Micrometer? Looking at them now I'm seeing around 1000 and would like to whittle them down to a select few say 100 to actually be sent to our registry. Meter filters can help in 3 ways that have been discussed with the Micrometer slack channel: Disabling metrics Combining dimensions High cardinality capping filter Micrometer comes with the first type of meter filter built in. It also support hierarchical enabling/disabling similar to how logging works (As in if have meter like my.request.total and my.request.latency you

Cannot include Prometheus metrics in spring boot 2 (version 2.0.0.M7) project. According micrometer docs added spring-boot-starter-actuator dependency and in application.yaml added management.endpoints.web.expose: prometheus but when calling /actuator/prometheus get { "timestamp": 1518159066052, "path": "/actuator/prometheus", "message": "Response status 404 with reason \"No matching handler\"", "status": 404, "error": "Not Found" } Tell me please why I wasn't getting prometheus metrics? Did you add micrometer-registry-prometheus to your dependecies? Micrometer has a pluggable architecture

对java工程实时监控方式很多，本文主要讲在springboot框架中的监控。 springboot框架，自带了actuator监控，在pom中引入jar包即可，如下 1.引入jar <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency> 在2.0版本之后改动很大，我这里是用的2.0.2 2.启动项目后即可访问 http://localhost:8081/webproject/actuator/health http://localhost:8081/webproject/actuator/info 如果想让url个性化一点，在 application.propertie 配置文件中 加入 management.endpoints.web.base-path=/jiankong 那么就可以访问 http://localhost:8081/webproject/jiankong/health 3.actuator 提供了很多api（称为：节点） 默认只开放了 health、info两个节点 如果需要公开所有 则在配置文件中继续加入 management.endpoints.web

目录 简介 环境说明 静态配置 重新加载配置文件 基于文件发现配置 重新加载配置文件 添加主机测试 基于DNS的A记录 修改配置文件 重新加载配置文件 基于DNS的SRV记录自动发现 修改配置文件 重新加载配置文件 动态添加解析测试 简介 在实际的配置中，经常会遇到增加或者减少监控主机的状况，如果每次都需要修改 prometheus.yml 配置文件，实在是太麻烦了。 此时就需要配置自动发现，而 prometheus 只是很多种的自动发现 支持: 基于公有云 基于私有云 基于文件，file的自动发现 基于DNS 的自动发现，分为SRV解析自动发现和A记录解析的自动发现 ........等等，有很多类型，本文中介绍基于静态文件 和 DNS 的自动发现 环境说明 增加一台 10.0.20.12 node_export 主机及 DNS 使用的是 bind9 如需 bind9 文档， 点击这里是bind9文档 以下的所有演示都是案例，可根据自己的情况做变更。 静态配置 简单讲解下直接修改 prometheus.yml 主配置文件中的静态配置。 修改配置如下: [root@es01 config]# cat prometheus.yml global: scrape_interval: 15s evaluation_interval: 15s alerting: alertmanagers:

hystrix通过rxjava消息模式来获取和监听命令的metrics信息。 　　metrics主体结构包括一下部分： 　　 hystrix metrics主要分为三个部分，命令执行metrics，线程池metrics，合并命令metrics。分别来统计命令执行过程中产生的metrics，线程池执行过程中产生的metrics，合并命令执行过程汇总产生的metrics。各个metrics内部有两类消息流组件，当各个行为发生时，首先向消息接收流组件发生消息，各类消息分析流组件监听消息接收流组件，对接收到的数据进行统计输出。各个metrics组件再通过监听消息分析流组件来获取统计后的消息。 单例模式 　　三个metrics都使用了单利模式，以HystrixCommandMetrics为例，key为commandkey。 // String is HystrixCommandKey.name() (we can't use HystrixCommandKey directly as we can't guarantee it implements hashcode/equals correctly) private static final ConcurrentHashMap<String, HystrixCommandMetrics> metrics = new

I would like to start using metrics in my Springboot app and I would also like to publish them my amazon cloudwatch I know that with Springboot we can activate spring-actuator that provides in memory metrics and published them to the /metrics endpoint. I stumbled across Spring-cloud that seems to have some lib to periodically publish these metrics to Cloudwatch, however I have no clue how to set them up? There is absolutely 0 examples of how to use it. Anyone could explain what are the step to enable the metric to be sent to cloudwatch? You can check my article here: https://dkublik.github.io

This is a follow-up to my struggle using yammer timing annotations as described here . My spring context file has simply: <metrics:annotation-driven /> I have the following class: import com.yammer.metrics.annotation.ExceptionMetered; import com.yammer.metrics.annotation.Metered; import com.yammer.metrics.annotation.Timed; ... @Component public class GetSessionServlet extends HttpServlet { private final static Logger log = LoggerFactory.getLogger(GetSessionServlet.class); @Override public void init(final ServletConfig config) throws ServletException { super.init(config);

I have a Spring Boot application and I am using Spring Boot Actuator and Micrometer in order to track metrics about my application. I am specifically concerned about the 'http.server.requests' metric and the MAX statistic: { "name": "http.server.requests", "measurements": [ { "statistic": "COUNT", "value": 2 }, { "statistic": "TOTAL_TIME", "value": 0.079653001 }, { "statistic": "MAX", "value": 0.032696019 } ], "availableTags": [ { "tag": "exception", "values": [ "None" ] }, { "tag": "method", "values": [ "GET" ] }, { "tag": "status", "values": [ "200", "400" ] } ] } I suppose the MAX statistic

One of the things I’ve been thinking about a lot off and on is how we can use metrics of some kind to measure change, are we going backwards or not? This is in the context of a large, legacy code base which we are improving. Most of the code is C++ with a C heritage. Some new functions and the GUI are written in C#. To start with, we could at least be checking if the simple complexity level was changing over time in the code. The difficulty is in having a representation – we can maybe do a 3D surface where a 2D map represents the code and we have a heat-map of color representing complexity

作者：刘彪 整理：毛鹤 本文由 Apache Flink Contributor 刘彪分享，本文对两大问题进行了详细的介绍，即什么是 Metrics、如何使用 Metrics，并对 Metrics 监控实战进行解释说明。 什么是 Metrics？ Flink 提供的 Metrics 可以在 Flink 内部收集一些指标，通过这些指标让开发人员更好地理解作业或集群的状态。由于集群运行后很难发现内部的实际状况，跑得慢或快，是否异常等，开发人员无法实时查看所有的 Task 日志，比如作业很大或者有很多作业的情况下，该如何处理？此时 Metrics 可以很好的帮助开发人员了解作业的当前状况。 Metric Types Metrics 的类型如下： 首先，常用的如 Counter，写过 mapreduce 作业的开发人员就应该很熟悉 Counter，其实含义都是一样的，就是对一个计数器进行累加，即对于多条数据和多兆数据一直往上加的过程。 第二，Gauge，Gauge 是最简单的 Metrics，它反映一个值。比如要看现在 Java heap 内存用了多少，就可以每次实时的暴露一个 Gauge，Gauge 当前的值就是heap使用的量。 第三，Meter，Meter 是指统计吞吐量和单位时间内发生“事件”的次数。它相当于求一种速率，即事件次数除以使用的时间。 第四，Histogram