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#### 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
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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
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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
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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
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"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
 – 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
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Failure detectability.
☐ Failures and system load of kyuubi server and engines are visible via
metrics, logs, and so forth.
## Serverless SQL and More
Serverless SQL on Lakehouses makes it easier for • Monitoring
• 1. Monitoring Kyuubi - Logging System
• 2. Monitoring Kyuubi - Server
Metrics
• 3. Trouble Shooting
• Tools
• Kubernetes Tools Spark Block Cleaner
• Administrator JDBC metadata store.|string|1.6.0|
##
Metrics
| Key | Default | Meaning | Type | Since |
| kyuubi.metrics.con | PT5S | 0 码力 |
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-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: 0 码力 |
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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 0 码力 |
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