要查看所有可用的命令行标志,请运行/prometheus -h一、kubernetes_sd_config(虽然是翻译官网但是别忽略好好看一看)11、 单说kubernetes_sd_config的配置: Kubernetes SD配置允许从Kubernetes的REST API检索抓取目标,并始终与集群状态保持同步一、Prometheus配置文件官网翻译(可直接忽略)11 官网配置文件介绍static_config static_config允许指定目标列表和目标的通用标签集

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prometheuspromtoolMigrationAPI StabilityFeature flagsVisualizationPrometheus works well for recording any purely numeric time series It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength Prometheus is designed for reliability, to be the system you go to during an outage to allow you to quickly diagnose problems Each Prometheus serv

更新内容: [修复] Fix panic when using custom EC2 API for SD #4672 [修复] Fix panic when Zookeeper SD cannot connect to servers #4669 [修复] Make the skip_head an optional parameter for snapshot API #4674 下载地址: https://prometheusio/download/服务监控系统 Prometheus 230 已发布,Prometheus 是一个 Go 语言开发的开源的服务监控系统和时间序列数据库。 更新内容: [更改] marathon_sd: use auth_token and auth_token_file for token-based authentication instead of be

The Prometheus monitoring system and time series database prometheus/prometheus330 / 2025-05-13 Release notesFile name OS Arch Size SHA256 Checksum prometheus-330 amd64 11298 MiB 7b45e8ca59df6e4819d023b3e1137d89f9341cf861ff54cbbeb216 prometheus-330 arm64 10889 MiB e06d039b9f70aa8bbf0bfb0a5a93b773bd5b9b94dc8b4f2aec278a1a9b8a5bba prometheus-330 amd64 11104 MiB 16f31f3f49bd426e9af1eade37edd10c8c9c438c

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Alerts are defined based on Prometheus's flexible PromQL and maintain dimensional information An alertmanager handles notifications and silencing Many client libraries Client libraries allow easy instrumentation of services Over ten languages are supported already and custom libraries are easy to implement Many integrations Existing exporters allow bridging of third-party data into Prometheus Examples: system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics «Even though Borgmon remains internal to Google, the idea of treating time-series data as a data source for