Monitoring system-Prometheus (3) Metrics in Prometheus

Article directory Monitoring system-Prometheus (3) Metrics in Prometheus 1. Prometheus indicator type 1. GaugeVec and Gauge type indicators of Prometheus 2. Actual demo of converting heartbeat data into gauge type indicators of Prometheus Used promhttp.Handler() of the Prometheus Go client library to expose the metrics interface 3. Configure Prometheus to obtain custom indicators How to […]

k8s deploys custom-metrics service

custom-metrics deployment Architecture analysis prometheus component: responsible for storing various monitoring data obtained from the k8s cluster node_exporter component: It is the agent installed by prometheus to collect data on each node. custom-metrics-apiserver component: Responsible for receiving and responding to user-initiated REST-style requests for monitoring indicator operations k8s-promethues-adpater component: Outputs the data returned by the […]

HeapSter and MetricServer monitoring model of k8s

Introduction to HeapSter Used to uniformly collect and display data reported by cAdvisor in each node in the k8s cluster HeapSter uses memory storage by default and cannot persist historical data. InfluxDB needs to be installed separately to save the data reported by cAdvisor The cAdvisor plug-in in kubelet is responsible for collecting resource data […]

k8s comes with monitoring metrics-server

k8s-brings monitoring metrics-server 1. k8s-built-in monitoring metrics-server View resource cluster status View master component status: kubectl get cs View node status: kubectl get node View Apiserver proxy URL: kubectl cluster-info View cluster details: kubectl cluster-info dump View resource information: kubectl describe <resource> <name> View resource information: kubectl get <resource> Monitor cluster resource utilization View node […]

Information retrieval metrics (MAP@N, P@N)

Most software products we encounter today have some form of integrated search functionality. We search for content on Google, videos on YouTube, products on Amazon, information on Slack, emails on Gmail, people on Facebook, and more. As a user, the workflow is very simple. We can search for an entry by writing our query in […]

What are the code coverage metrics? 8 Tips to Improve Code Coverage

Code coverage is often considered the gold standard for understanding test quality, when in fact, code coverage only measures how well lines of code were called, not the results. In software engineering, there is an unconscious confusion between code coverage testing and test coverage testing. The following table summarizes the key differences between code coverage […]

YOLOv5: Interpreting metrics.py

YOLOv5: Interpreting metrics.py Preface Prerequisites Related introduction metrics.py fitness smooth box_iou ConfusionMatrix \bigstar\bigstar bbox_iou \bigstar\bigstar compute_ap ap_per_class(difficulty: ? ? ? ? ? \star\star\star\star\star ?) To be continued refer to Foreword Record some important points when you read the metrics.py code for your convenience. Special thanks. The blog post links listed in the reference are very […]

Metrics Server deployment

Introduction to Metrics Server Metrics Server is an aggregator of Kubernetes cluster core monitoring data (regularly collecting indicator information from Kubelet’s Summary API). Metrics data can be obtained through the Metrics API, but it only obtains the latest values of indicators. The data is not stored and is not responsible. Forward metrics to third-party targets. […]