#### Metrics in ServiceComb Java Chassis 1.0.0-m1 让微服务运行状态清晰可见 郑扬勇 微服务架构师 开源能力中心 ## 目录 • Metrics简介 • 基于BMI示例演示 • Metrics技术细节 ## Metrics是什么 - 直译是 “度量”， 不同的领域定义有所区别， 在微服务领域中的定义： “对微服务的某个指标给予一个可量化程度的测量” “对微服务的某个指标给予一个可量化程度的测量” • Metrics应该具备的特性: - Comparative（可对比）：指标能够在不同的微服务或同一个微服务的多个实例之间比较； • Understandable（易理解）：指标所衡量的对象、计算方法和输出的结果值都是容易理解的； • Ratio（理想的比例）：理想结果可预见，可以立即用于比较。 ## 最常见的Metrics - 衡量Metrics实现优劣的标准： - 无侵入或低侵入  ## Metrics的分类 • Metrics有很多种分类方式，在技术实现上我们偏向以取值方式区分为两种： • 1. 直接取值 - 任何时候都能够立刻获取到最新值，例如资源使用率，包括CPU使用率，线程数，Heap使用数据

封，外部用户 2 家 ## ServiceComb（Apache之旅） Service Center Java Chassis 1.0.0-m1 支持Dev开发模式 集成外部配置中心 Metrics 监控支持 异步编程模型支持 ZipkinV2版本支持 Service Center Java Chassis 1.0.0-m2 Service Center Java Chassis e01357aed326a4ee5d57c9a0bb0b4cd7/p16_1.jpg) Service Center Java Chassis 1.2.0 优化云原生环境支持 优化Metrics服务 提供服务Inspector 多版本Spring-Boot 支持 2017年12月 2013年3月 2018年6月 2018年8月 2018年10月 2018年12月 2019年4月

with a running server ..... 117 Customizing WebTestClient ..... 119 Using JMX ..... 119 Using Metrics ..... 119 Mocking and Spying Beans ..... 120 Auto-configured Tests ..... 122 Auto-configured Jolokia 332 Disabling Jolokia 333 13.5. Loggers 333 13.5.1. Configure a Logger 333 13.6. Metrics 334 13.6.1. Getting started 334 13.6.2. Supported Monitoring Systems 336 AppOptics 337 Atlas Supported Metrics and Meters ..... 351 JVM Metrics ..... 351 System Metrics ..... 351 Logger Metrics ..... 352 Task Execution and Scheduling Metrics ..... 352 Spring MVC Metrics ..... 352

Consumer Priority 1.44 Extra Acknowledge Modes 1.45 Management 1.46 Management Console 1.47 Metrics 1.48 Security 1.49 Masking Passwords 1.50 Broker Plugins 1.51 Resource Limits 1.52 The recommended order): i. Use a metrics plugin. This is the most feature-rich and flexible way to track broker metrics, although it requires tools (e.g. Prometheus) to store the metrics and display them (e.g. Grafana) to "disable" a queue so that messages are not routed to it • Support JVM GC & thread metrics • Support for resetting queue properties by unsetting them in broker.xml • Undeploy diverts by

ettings.html ## Authentication Backend Credentials Delegation Engine Frontend Ha Kinit Metrics ## Operation Server Session ## Zookeeper ## Spark Configurations ### V ia spark-defaults.conf vice] is started. 2021-11-26 17:49:50.230 INFO metrics.JsonReporterService: Service[JsonReporterService] is started. 2021-11-26 17:49:50.230 INFO metrics.MetricsSystem: Service[MetricsSystem] is started .jpg) ### 6.6 Monitoring In this section, you will learn how to monitor Kyuubi with logging, metrics etc..  #### 6

"PodMetricsList", "apiVersion": "metrics.k8s.io/v1beta1", "metadata": { "selflink": "/apis/metrics.k8s.io/v1beta1/pods" }, "items": "namespace": "kube-system", "selflink": "/apis/metrics.k8s.io/v1beta1/namespace/kube-system/pods/coredns-5644d7b6d9-rv295", "cr pod k8s node 应用 CPU/内存/磁盘/网络 服务/日志/... 状态/CPU/内存 ## Kubernetes Metrics Server 安装 ### https://github.com/kubernetes-sigs/metrics-server # Kubernetes 1.7 ![Image](/uploads/documents/4/4/5/2/44522

result (object) – Task result or progress details • log (string) – Task log ## Metrics GET /api/metrics/ Returns server metrics. Response JSON Object:: • units (int) – Number of units • units translated The Docker container has built-in health check using this URL. For monitoring metrics of Weblate you can use GET /api/metrics/ API endpoint. ## See also How can I check whether my Weblate is set up properly INSTALLED_APPS [https://docs.djangoproject.com/en/stable/ref/settings/#std-setting-INSTALLED_APPS] - weblate.metrics should be added. Changed in version 4.5.1: • There is a new dependency on the pyahocorasick module

-model argument. Noted that this name(s)will also be used in model_name tag content of prometheus metrics, if multiple names provided, metricstag will take the first one. --qlora-adapter-name-or-path Name ## 1.15 Production Metrics vLLM exposes a number of metrics that can be used to monitor the health of the system. These metrics are exposed via the /metrics endpoint on the vLLM OpenAI compatible compatible API server. The following metrics are exposed: ```python class Metrics: labelname_finish_reason = "finished_reason" _base_library = prometheus_client def __init__(self, labelnames:

With a Running Server ..... 118 Customizing WebTestClient ..... 120 Using JMX ..... 120 Using Metrics ..... 120 Mocking and Spying Beans ..... 120 Auto-configured Tests ..... 123 Auto-configured Disabling Jolokia ..... 340 13.5. Loggers ..... 340 13.5.1. Configure a Logger ..... 341 13.6. Metrics ..... 341 13.6.1. Getting started ..... 342 13.6.2. Supported Monitoring Systems ..... 344 Supported Metrics and Meters ..... 359 JVM Metrics ..... 359 System Metrics ..... 360 Application Startup Metrics ..... 360 Logger Metrics ..... 360 Task Execution and Scheduling Metrics ..... 360

with a running server ..... 119 Customizing WebTestClient ..... 121 Using JMX ..... 121 Using Metrics ..... 121 Mocking and Spying Beans ..... 121 Auto-configured Tests ..... 124 Auto-configured Disabling Jolokia ..... 341 13.5. Loggers ..... 341 13.5.1. Configure a Logger ..... 342 13.6. Metrics ..... 342 13.6.1. Getting started ..... 343 13.6.2. Supported Monitoring Systems ..... 345 Supported Metrics and Meters ..... 360 JVM Metrics ..... 360 System Metrics ..... 361 Application Startup Metrics ..... 361 Logger Metrics ..... 361 Task Execution and Scheduling Metrics ..... 361