Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Last updated : Nov 14, 2018
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2018
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

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 ? 在了解它将对你的企业产生什么影响的前提下值得探索

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.

已发布 : May 15, 2018
Radar

下载第25期技术雷达

English | Español | Português | 中文

Radar

获取最新技术洞见

 

立即订阅

查看存档并阅读往期内容