[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-09-04。"],[[["\u003cp\u003eGoogle Distributed Cloud (GDC) air-gapped appliance offers alerting features as part of its Observability service, providing timely awareness of system issues.\u003c/p\u003e\n"],["\u003cp\u003eMetric-based alerting policies in GDC monitor system data and send notifications when predefined conditions are met, such as high CPU utilization on a VM.\u003c/p\u003e\n"],["\u003cp\u003eLog-based metrics in GDC enable monitoring of recurring log events, like errors or warnings, and can trigger alerts when thresholds are exceeded or trends deviate.\u003c/p\u003e\n"],["\u003cp\u003eGDC's Observability platform collects alerts and can generate pages for urgent issues or tickets for less critical matters, based on user-defined configurations and rules.\u003c/p\u003e\n"]]],[],null,["# Alerting overview\n\nThis section describes the alerting features available in Google Distributed Cloud (GDC) air-gapped appliance.\n\nAlerting is an Observability service that gives timely awareness in GDC so you can resolve problems quickly. An alerting policy describes the circumstances to be alerted and how you want to receive notifications.\n\nMetric-based alerting policies track collected system monitoring data and notify specific people when a resource meets a pre-established condition. For example, an alerting policy that monitors the CPU utilization of a virtual machine (VM) might notify an on-call team when an event activates the policy. Alternatively, a policy that monitors an uptime check might notify on-call and development teams.\n\nTo monitor recurring events in your logs over time, use log-based metrics to create alerting policies. Log-based metrics generate numerical data from system logging data. Log-based metrics are suitable when you want to do any of the following:\n\n- Count the message occurrences in your logs, like a warning or error. Also, receive a notification when the number of events crosses a threshold.\n- Observe trends in your data, like latency values in your logs. Also, receive a notification if the values change unacceptably.\n- Create charts to display the numeric data extracted from your logs.\n\nThe Observability platform of GDC collects incoming\n\nalerts and sends user notifications based on configuration and workflow rules\nfor data observability. In GDC, alerts can generate\npages and tickets for critical errors. Pages require immediate attention from an\noperator, while tickets are less urgent."]]
