https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html#production-ready-metrics-export-prometheus https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html#production-ready-metrics-custom 接下来,还是用之前的prometheus-example那个例...
https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html#production-ready-metrics-export-prometheus https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html#production-ready-metrics-custom 接下来,还是用之前的prometheus-example那个例...
也可以通过prometheus和custom API server,向聚合器层注册自定义API服务,然后使用演示程序提供的自定义metrics配置HPA,例如基于http请求访问次数的HPA。 Metrics Server和custom-metrics-api都有多种部署方式,比较推荐 https://github.com/stefanprodan/k8s-prom-hpa 我们这里前面部署了PrometheusOperator,我们这里用它提供的...
apiVersion: monitoring.coreos.com/v1 kind: PodMonitor metadata: name: example-app labels: team: frontend spec: selector: matchLabels: app: example-app namespaceSelector: {} podMetricsEndpoints: - port: web interval: 15s path: /metrics 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12....
Kubernetes默认提供CPU和内存作为HPA(Horizontal Pod Autoscaler)弹性伸缩的指标。如果有更复杂的场景需求,例如基于GPU指标进行自动扩缩容,您可以通过Prometheus Adapter适配Prometheus采集到的GPU指标,再利用Custom Metrics API来对HPA的指标进行扩展,从而根据GPU利用率、显存等指标进行弹性伸缩。GPU弹性伸缩原理如下图所示: ...
Collecting metrics data with Prometheus is becoming more popular. With Instana, it is easy to capture Prometheus metrics and correlate them by using the extensive knowledge graph. A typical example is custom business metrics.
"login.example.com"basic_auth:username:"username"password:"mysecret"http_custom_ca_example:prober:httphttp:method:GETtls_config:ca_file:"/certs/my_cert.crt"tls_connect:prober:tcptimeout:5stcp:tls:truetcp_connect_example:prober:tcptimeout:5simap_starttls:prober:tcptimeout:5stcp:query_response:...
Disable metrics lookup: 勾选该选项将禁用查询字段自动完成中的度量选择器和度量/标签支持。如果你在较大的 Prometheus 实例中遇到性能问题,这将有所帮助。 Custom query parameters: 在 Prometheus 查询 URL 中添加自定义参数。例如,timeout、partial_response、dedup、或max_source_resolution。多个参数应该用&连接起来...
Prometheus架构中,Prometheus Server主要负责数据的收集,存储并且对外提供数据查询支持。为了能够监控到某些东西,如主机的CPU使用率,我们需要使用到Exporter。Prometheus周期性的从Exporter暴露的HTTP服务地址(通常是/metrics)拉取监控样本数据。 Exporter可以独立于监控目标,也可以内置于监控目标,只要能向Prometheus提供标准格式的...
Should metrics for different publishers be separate, or is there value in aggregating across all of them? Looking at, for example, the reactor.subscribed Counter, would a user ever want to sum this for all publishers to get a count subscribed for all publishers? Or would it only be used ...