國立高雄大學圖資館 |

登入

回首頁

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 :2022.
面頁冊數:	xvii, 234 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer softwareDevelopment
電子資源:	https://doi.org/10.1007/978-1-4842-7996-0
ISBN:	9781484279960$q(electronic bk.)

DevOps in Pythoninfrastructure as Python /
Zadka, Moshe.

DevOps in Pythoninfrastructure as Python /[electronic resource] :by Moshe Zadka. - Second edition. - Berkeley, CA :Apress :2022. - xvii, 234 p. :ill., digital ;24 cm.

Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. You will: Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python.

ISBN: 9781484279960$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-7996-0doiSubjects--Topical Terms:

203501
Computer software
--Development

LC Class. No.: QA76.73.P98 / Z33 2022

Dewey Class. No.: 005.133

DevOps in Pythoninfrastructure as Python /
LDR:02161nmm a2200337 a 4500 001 626083
003 DE-He213
005 20220629143014.0
006 m d
007 cr nn 008maaau
008 230109s2022 cau s 0 eng d
020 $a 9781484279960$q(electronic bk.)
020 $a 9781484279953$q(paper)
024 7 $a 10.1007/978-1-4842-7996-0 $2 doi
035 $a 978-1-4842-7996-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98 $b Z33 2022
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b Z17 2022
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.
250 $a Second edition.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a xvii, 234 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
520 $a Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. You will: Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python.
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 Language. $3 913494
650 2 4 $a Compilers and Interpreters. $3 914937
650 2 4 $a Software Engineering. $3 274511
650 2 4 $a IT in Business. $3 703717
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-7996-0
950 $a Professional and Applied Computing (SpringerNature-12059)