29초영화제_김치 (김경래 감독)

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Martini: Web development with Go

Martini makes web development with Go much easier. It has a flexible routing layer, comes with a set of stock middleware, and can leverage open source web packages built in Go.

Martini is a powerful package for quickly writing modular web applications/services in Golang.

package main

import "github.com/codegangsta/martini"

func main() {
  m := martini.Classic()
  m.Get("/", func() string {
    return "Hello world!"
  })
  m.Run()
}

Install the package (go 1.1 and greater is required):

go get github.com/codegangsta/martini

Join the Mailing list

Watch the Demo Video

Features

• Extremely simple to use.
• Non-intrusive design.
• Play nice with other Golang packages.
• Awesome path matching and routing.
• Modular design - Easy to add functionality, easy to rip stuff out.
• Lots of good handlers/middlewares to use.
• Great 'out of the box' feature set.
• Fully compatible with the http.HandlerFunc interface.

More Middleware

For more middleware and functionality, check out the martini-contrib repository.

Table of Contents

• Classic Martini
  • Handlers
  • Routing
  • Services
  • Serving Static Files
• Middleware Handlers
  • Next()
• FAQ

 운명이란 다른 곳에서 찾아오는 것이 아니고 자기 마음속에서 성장하는 것이다. - 헤르만 헤세 -

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조직원들이 성과보다 노력이 중요하다는 착각을 하게 해서는 안된다.
일을 하기 위해서가 아니라 성과를 위해 일해야 한다.
성과야말로 모든 활동의 목적이다.
성과와 업적에 의해 평가받는 사람들의 수를 최대한 늘려야 한다.
- 한근태, ‘일생에 한번은 고수를 만나라’에서

일 잘하는 사람들은 투입(input)보다는
산출(output)에 초점을 두고 일합니다.
반대로 일을 잘 못하는 사람들은
인풋이 곧 일이라고 생각하는 경향이 있습니다.
노력과 과정 역시 대단히 중요합니다.
그러나 일의 목적과 아웃풋에,
하드 워킹(열심히 하는 것)보다는 스마트 워킹(잘 하는 것)에
집중하는 것이 더 중요합니다.

OpenTSDB: Scalable time-series database

What's OpenTSDB?

OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.

Thanks to HBase's scalability, OpenTSDB allows you to collect many thousands of metrics from thousands of hosts and applications, at a high rate (every few seconds). OpenTSDB will never delete or downsample data and can easily store billions of data points. As a matter of fact,StumbleUpon uses it to keep track of hundred of thousands of time series and collects over 1 billion data points per day in their main production datacenter. Other sites such asBox orTumblr are pushing tens of billions of data points per day.

Imagine having the ability to quickly plot a graph showing the number ofDELETE statements going to your MySQL database along with the number of slow queries and temporary files created, and correlate this with the 99th percentile of your service's latency. OpenTSDB makes generating such graphs on the fly a trivial operation, while manipulating millions of data point for very fine grained, real-time monitoring.