Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
Günlük tabanlı metrikler, mevcut proje için belirli bir filtreyle eşleşen günlük girişlerini sayar. Örneğin, aşağıdaki sorguyla zaman içinde oluşturulan seyahat sayısını izlemek için bir metrik oluşturabilirsiniz:
Günlük tabanlı metrikler oluşturmayla ilgili genel bakış ve talimatlar için Günlük tabanlı metrikler başlıklı makaleye bakın.
Uyarıları ayarlama
Bir metrik tanımlı eşiğin altına düştüğünde müşterileri bilgilendirmek için uyarılar oluşturabilir ve bu uyarılar için bildirim kanalları belirleyebilirsiniz. Günlüğe dayalı uyarı politikalarını yapılandırma başlıklı makaleye bakın.
[[["Anlaması kolay","easyToUnderstand","thumb-up"],["Sorunumu çözdü","solvedMyProblem","thumb-up"],["Diğer","otherUp","thumb-up"]],[["İhtiyacım olan bilgiler yok","missingTheInformationINeed","thumb-down"],["Çok karmaşık / çok fazla adım var","tooComplicatedTooManySteps","thumb-down"],["Güncel değil","outOfDate","thumb-down"],["Çeviri sorunu","translationIssue","thumb-down"],["Örnek veya kod sorunu","samplesCodeIssue","thumb-down"],["Diğer","otherDown","thumb-down"]],["Son güncelleme tarihi: 2025-08-17 UTC."],[[["\u003cp\u003eLog-based metrics are created using filters to count matching log entries within a project, like tracking trip creation events.\u003c/p\u003e\n"],["\u003cp\u003eMetrics data starts accumulating only after metric creation and doesn't include pre-existing log entries.\u003c/p\u003e\n"],["\u003cp\u003eYou can set up alerts to get notified when a metric violates pre-defined thresholds.\u003c/p\u003e\n"],["\u003cp\u003eFor further log analysis and insights, you can integrate with BigQuery.\u003c/p\u003e\n"]]],["Log-based metrics track log entries matching a filter within a project. An example is tracking the number of trips created over time using a specific query. Metrics are populated only with data from logs received after the metric's creation. Users can set up alerts for metrics that exceed defined thresholds, with notifications sent to specified channels. Further, logs can be analysed using BigQuery.\n"],null,["Log-based metrics count the log entries that match a given filter for the\ncurrent project. For example, you could create a metric to track the number of\ntrips created over time with the following query: \n\n resource.type=\"audited_resource\"\n resource.labels.method=\"maps.fleetengine.v1.TripService.ReportBillableTrip\"\n\nFor an overview and instructions on how to create log-based metrics, see\n[Log-based metrics](https://cloud.google.com/logging/docs/logs-based-metrics).\n| **Note:** The data for a user-defined log-based metric comes only from log entries received after the metric is created. A metric isn't retroactively populated with data from previously logged entries.\n\nSet up alerts\n\nYou can create alerts to notify customers when a metric falls out of a defined\nthreshold, and specify notification channels for those alerts. See [Configure\nlog-based alerting policies](https://cloud.google.com/logging/docs/alerting/log-based-alerts).\n\nWhat's next\n\nLearn how to [analyse logs with BigQuery](/maps/documentation/mobility/operations/cloud-logging/big-query)."]]
