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 .
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计算机程序的构造和解释
Harold Abelson、Gerald Jay Sussman、Julie Sussman / 裘宗燕 / 机械工业出版社 / 2004-2 / 45.00元
《计算机程序的构造和解释(原书第2版)》1984年出版,成型于美国麻省理工学院(MIT)多年使用的一本教材,1996年修订为第2版。在过去的二十多年里,《计算机程序的构造和解释(原书第2版)》对于计算机科学的教育计划产生了深刻的影响。第2版中大部分重要程序设计系统都重新修改并做过测试,包括各种解释器和编译器。作者根据其后十余年的教学实践,还对其他许多细节做了相应的修改。 海报:一起来看看 《计算机程序的构造和解释》 这本书的介绍吧!