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 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:
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!
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!
猜你喜欢: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。
新媒体文案创作与传播
秋叶、叶小鱼、勾俊伟 / 人民邮电出版社 / 2017-4 / 39.80元
《新媒体文案创作与传播》共分三篇。第1篇是新媒体文案基础篇,主要讲述了新媒体文案的基本概念、新媒体文案的岗位要求和职业能力素养;第二篇是新媒体文案创意实务篇,主要讲述了新媒体文案的创作思路、新媒体文案的写作技巧、爆款新媒体文案的打造、新媒体销售文案的写作、新媒体对文案传播的新要求、新媒体品-牌文案的写作,以及不同媒介的特征及发布形式;第三篇为新媒体文案相关技能补充,主要讲述的是策划能力。 《新媒体......一起来看看 《新媒体文案创作与传播》 这本书的介绍吧!
XML、JSON 在线转换
在线XML、JSON转换工具
正则表达式在线测试
正则表达式在线测试