國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

DevOps in Pythoninfrastructure as Py...

SpringerLink (Online service)

DevOps in Pythoninfrastructure as Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	DevOps in Pythonby Moshe Zadka.
其他題名:	infrastructure as Python /
作者:	Zadka, Moshe.
出版者:	Berkeley, CA :Apress :2019.
面頁冊數:	xvi, 169 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer softwareDevelopment
電子資源:	https://doi.org/10.1007/978-1-4842-4433-3
ISBN:	9781484244333$q(electronic bk.)

DevOps in Pythoninfrastructure as Python /
Zadka, Moshe.

DevOps in Pythoninfrastructure as Python /[electronic resource] :by Moshe Zadka. - Berkeley, CA :Apress :2019. - xvi, 169 p. :ill., digital ;24 cm.

1: Installing Python -- 2: Interactive Uage -- 3: Packaging -- 4: Operating System Automation -- 5: Testing -- 6: Text Manipulation -- 7: Requests -- 8: Cryptography -- 9: Paramiko -- 10: Salt Stack -- 11: Ansible -- Chapter 12: Docker -- Chapter 13: Amazon Web Services.

Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines. Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding.

ISBN: 9781484244333$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-4433-3doiSubjects--Topical Terms:

203501
Computer software
--Development

LC Class. No.: QA76.76.C69 / Z33 2019

Dewey Class. No.: 004.36

DevOps in Pythoninfrastructure as Python /
LDR:02152nmm a2200325 a 4500 001 563158
003 DE-He213
005 20190627131348.0
006 m d
007 cr nn 008maaau
008 200227s2019 cau s 0 eng d
020 $a 9781484244333$q(electronic bk.)
020 $a 9781484244326$q(paper)
024 7 $a 10.1007/978-1-4842-4433-3 $2 doi
035 $a 978-1-4842-4433-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.C69 $b Z33 2019
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 004.36 $2 23
090 $a QA76.76.C69 $b Z17 2019
100 1 $a Zadka, Moshe. $3 848591
245 1 0 $a DevOps in Python $h [electronic resource] : $b infrastructure as Python / $c by Moshe Zadka.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xvi, 169 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1: Installing Python -- 2: Interactive Uage -- 3: Packaging -- 4: Operating System Automation -- 5: Testing -- 6: Text Manipulation -- 7: Requests -- 8: Cryptography -- 9: Paramiko -- 10: Salt Stack -- 11: Ansible -- Chapter 12: Docker -- Chapter 13: Amazon Web Services.
520 $a Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines. Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding.
650 0 $a Computer software $x Development $x Management. $3 203501
650 0 $a Python (Computer program language) $3 215247
650 0 $a Software support $x Management. $3 487279
650 1 4 $a Python. $3 763308
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 274102
650 2 4 $a Software Engineering. $3 274511
650 2 4 $a Software Management. $3 715554
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-4433-3
950 $a Professional and Applied Computing (Springer-12059)