AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

(只提供繁体中文版本)

DevOps – Blog by John Chang

AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

在AWS上進行DevOps的過程,自動化是其中很重要的一部分,我們通常會藉由一些工具或程式語言的幫助。Ansible, Shell Script以及Python是我最常使用的幾種。

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Introduction to Data 2

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Big Data – Blog by YY

Introduction to Data 2

In this weekly blog, I am gonna introduce a term “confidence interval,” and “confidence level.”

 

Confidence interval(CI), being used to address issues, if mean data is taken within random sample from messy population, then statisticians might ask questions, like, “How well the sample statistics is against underlying population value,” will provides a ranges of values that might contain parameter of interest.

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AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

(只提供繁体中文版本)

DevOps – Blog by John Chang

AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

DevOps是一種橫跨多種任務的工作流程,並沒有存在一個單一的”DevOps 工具”。它通常包含了幾個流程:Code, Build, Test, Package, Release, Configure, Monitor。因此一個DevOps團隊的成員通常都具備了多種技能,從程式碼的撰寫到工具的設定,互相配合達到完整的開發。

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Introduction to Data

(只提供英文版本)

Big Data – Blog by YY

Introduction to Data

In this weekly blog, I am gonna introduce the characteristics agains “data.”

 

Yes, “Data”, the four-long character stands for proprietary relating to individual holdings after the terms “BIG DATA” bursts out into attentions, as well as the most amazing and intriguing elements once you spend time on it.

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AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

(只提供繁体中文版本)

DevOps – Blog by John Chang

AWS Cloud and DevOps with the intention to bring more enterprise on to the cloud and practicing

DevOps一開始的目的是為了解決開發團隊(Dev)以及維運團隊(Ops)之間的衝突,兩個團隊互相責怪對方的缺失導致產品無法如期運作。在2009年,Flickr的工程師在一次的演講中發表了一個主題:『10+ Deploys per Day, Dev and Ops Cooperation at Flickr』,才讓大家瞭解兩個團隊彼此是可以順利合作的。如今,DevOps已經成為許多團隊的工作方式,部門之間的溝通更加緊密結合,彼此的工作也更透明化,產品開發的效率也更勝以往。

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