This month we've learned: fzf, Datadog and Teraform

栏目: IT技术 · 发布时间: 6年前

内容简介:This timeBesides terrific autocomplete feature, one of the greatest use cases I’ve discovered recently is the preview window. Say you want to quickly browse contents of all files that match your fuzzy search query. Normally, you do that by applying a

TMWL February 20' — fzf, Datadog & Teraform

Programmers say what they’ve learned

Mar 23 ·3min read

This month we've learned: fzf, Datadog and Teraform

This time Marcin and Michał have shared their discoveries from February:

  • how to launch a preview window in fzf;
  • how to automate with Datadog & Terraform.

Marcin Baraniecki — Frontend Engineer

fzf is a great tool to quickly find a file or autocomplete the command arguments — by name or pattern. It’s quick, it’s handy and it performs well when you don’t know the exact filename you’re looking for (by applying “fuzzy” search, match & completion).

Besides terrific autocomplete feature, one of the greatest use cases I’ve discovered recently is the preview window. Say you want to quickly browse contents of all files that match your fuzzy search query. Normally, you do that by applying a cat <filename> command. However, you can join both functionalities:

This month we've learned: fzf, Datadog and Teraform

After issuing a command above ( fzf — preview ‘cat {}’ ), a regular fzf search prompt shows up. This time, however, it additionally comes with a right-hand side preview window!

This month we've learned: fzf, Datadog and Teraform

Navigating through a list of files changes the output of the preview window. Additionally, that box can be scrolled independently (by hovering over it with your mouse)!

Preview window is a great feature that can be used with other bash commands, too. Displaying contents of a file ( cat command) is but a simplest one. What will YOU use it for?

Michał Matłoka — Senior Software Engineer & Architect

It is good to automate. There are things that are just quite obvious — deployments — CI & CD, environments set up etc. However there happen to be some small little things which people tend to omit. One of those things are Datadog dashboards. During this month, I’ve learned that it is pretty simple to bring dashboard definition to your codebase and “deploy” it automatically to Datadog.

Terraform documentation includes a clean description how you can define your dashboards. The definition format is quite similar to the export you can download, from the Datadog website. The main difference is that export is in JSON and terraform uses yaml. How does a single-widget dashboard definition look like? It is pretty simple:

provider “datadog” {
  api_key = “${var.datadog_api_key}”
  app_key = “${var.datadog_app_key}”
}resource “datadog_dashboard” “ordered_dashboard” {
  title = “Potato service”
  layout_type = “ordered”
  is_read_only = true  widget {
    timeseries_definition {
      title = “avg meal time (ms)”
      show_legend = false
      request {
        q = “avg:patato_service.meals.avg{service:patato_service,$environment}”
        display_type = line
      }
    }
  }
}

Terrafrom Datadog integration does not offer only support for dashboards. You can define there logs indexes, monitors and a lot of other things. If you are using Datadog, then definitely you should take a look at the Datadog integration .


以上所述就是小编给大家介绍的《This month we've learned: fzf, Datadog and Teraform》,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对 码农网 的支持!

查看所有标签

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。

我看电商

我看电商

黄若 / 电子工业出版社 / 2013-6-1 / 39.00元

本书是作者近30年从事及电子商务管理的总结和分享。 近年来电商行业在中国迅猛发展,2012年网络市场规模达到13,000亿人民币,诞生了淘宝、天猫、京东、、凡客、唯品会……等一大批全新的网络公司,电子商务正在日益深入的影响着越来越多人的生活。同时,这个行业连年亏损,顾客服务良莠不齐,也广为人们所关注。作者从地面到电子商务,从跨国公司高管到管理民营企业,从开创天猫模式到带领上市,被业界称为中国......一起来看看 《我看电商》 这本书的介绍吧!

RGB转16进制工具
RGB转16进制工具

RGB HEX 互转工具

URL 编码/解码
URL 编码/解码

URL 编码/解码

HEX CMYK 转换工具
HEX CMYK 转换工具

HEX CMYK 互转工具