菜单

本页面中的信息并不完全以您的首选语言展示,我们正在完善其他语言版本。想要以您的首选语言了解相关信息,可以点击这里下载PDF。

平台

TICK Stack

NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
Nov 2018
试验?

TICK Stack is a collection of open source components that combine to deliver a platform for easily storing, visualizing and monitoring time series data such as metrics and events. The components are: Telegraf, a server agent for collecting and reporting metrics; InfluxDB, a high-performance time series database; Chronograf, a user interface for the platform; and Kapacitor, a data-processing engine that can process, stream and batch data from InfluxDB. Unlike Prometheus, which is based on the pull model, TICK Stack is based on the push model of collecting data. The heart of the system is the InfluxDB component, which is one of the best time series databases. The stack is backed by InfluxData and although you need the enterprise version for features such as database clustering, it's still a fairly good choice for monitoring. We're using it in a few places in production and have had good experiences with it.

May 2018
评估?

TICK Stack is a platform composed of open source components which makes collection, storage, graphing and alerting on-time series data such as metrics and events easy. The components of the TICK Stack are: Telegraf, a server agent for collecting and reporting metrics; InfluxDB, a high-performance time series database; Chronograf, a user interface for the platform; and Kapacitor, a data-processing engine that can process, stream and batch data from InfluxDB. Unlike Prometheus, which is based on the Pull model, the TICK Stack is based on the Push model of collecting data. The heart of the system is the InfluxDB component which is one of the best time series databases. This stack is backed by InfluxData and needs the enterprise version for features such as DB clustering, but it’s still a fairly good choice for monitoring. We’re using it in a few places in production and have had good experiences with it.