Apigee hybrid mengumpulkan metrik operasi yang dapat Anda gunakan untuk
memantau kondisi layanan hybrid, menyiapkan pemberitahuan, dan sebagainya. Apigee menggunakan add-on Prometheus standar industri untuk pengumpulan metrik. Setelah dikumpulkan, hybrid akan mengirim data metrik ke Cloud Operations. Pada saat itu, Anda dapat menggunakan konsol Cloud Operations untuk melihat, menelusuri, dan menganalisis metrik serta mengelola pemberitahuan.
Diagram berikut menunjukkan proses pengumpulan metrik:
Seperti yang dapat Anda lihat dalam diagram ini, ada satu server Prometheus
yang berjalan per cluster, dan dapat berjalan di pod mana pun dalam cluster.
Prometheus mengambil data metrik aplikasi dari semua layanan
hibrida dan mengirim data metrik ke Cloud Operations. Anda dapat mengakses data metrik melalui konsol Cloud Operations.
Data metrik aplikasi tersedia di port sebagai
layanan Kubernetes internal. Data yang dikumpulkan oleh layanan ini
di-scrap oleh layanan pengumpulan metrik campuran. Anda dapat menggunakan
Monitoring Metrics Explorer untuk memilih metrik yang ingin dilihat, seperti:
jumlah permintaan baca
latensi permintaan baca
jumlah permintaan tulis
latensi permintaan tulis
Misalnya, Anda dapat membuat dasbor di Cloud Operations untuk menampilkan metrik:
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\u003cp\u003eVersion 1.5 of the Apigee hybrid documentation is end of life, and users should upgrade to a newer version.\u003c/p\u003e\n"],["\u003cp\u003eApigee hybrid uses Prometheus to collect operational metrics for monitoring the health of hybrid services and setting up alerts.\u003c/p\u003e\n"],["\u003cp\u003eMetrics data is sent to Cloud Operations, where it can be viewed, searched, analyzed, and used to manage alerts.\u003c/p\u003e\n"],["\u003cp\u003eMetrics collection is enabled by default, but can be disabled, and metrics can be viewed in the Monitoring Metrics Explorer.\u003c/p\u003e\n"]]],[],null,["# Metrics collection overview\n\n| You are currently viewing version 1.5 of the Apigee hybrid documentation. **This version is end of life.** You should upgrade to a newer version. For more information, see [Supported versions](/apigee/docs/hybrid/supported-platforms#supported-versions).\n\nApigee hybrid collects operations metrics that you can use to\nmonitor the health of hybrid services, to set up alerts, and\nso on. Apigee uses the industry-standard [Prometheus](https://github.com/kubernetes/kops/tree/master/addons/prometheus-operator) add-on for metrics collection. Once\ncollected, hybrid sends the metrics data to Cloud Operations, at which point you\ncan use the Cloud Operations console for viewing, searching, and\nanalyzing metrics and managing alerts.\n\nThe following diagram shows the metrics collection process:\n\nAs you can see in this diagram, there is one Prometheus server\nrunning per cluster, and it can run on any pod in the cluster.\nPrometheus scrapes application metrics data from all hybrid\nservices and sends the metrics data to Cloud Operations. You can access\nmetrics data through the Cloud Operations console.\n\nMetrics collection is enabled by default. To disable it, see\n[Configure metrics collection](/apigee/docs/hybrid/v1.5/metrics-enable).\n\nAbout metrics\n-------------\n\nApplication metrics data is made available on a port as an\ninternal Kubernetes service. Data collected by this service is\nscraped by the hybrid metrics collector service. You can use\nthe [Monitoring Metrics Explorer](https://console.cloud.google.com/monitoring/metrics-explorer) to select metrics you want to view, such as:\n\n- read request count\n- read request latency\n- write request count\n- write request latency\n\nFor example, you can create a dashboard in Cloud Operations to show\nyour metrics:"]]
