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010 _a 2020277179
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020 _a9789352139583
035 _a(OCoLC)on1106172827
040 _aYDX
_beng
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042 _alccopycat
050 0 0 _aQA76.73.P98
_bG54 2020
082 0 4 _a005.133
_223
_bGIF-P
100 1 _aGift, Noah
245 1 0 _aPython for DevOps :
_blearn ruthlessly effective automation
_cby Noah Gift ... [ et al.]
260 _aNew Delhi :
_bShroff Publishers,
_c©2021
300 _axx, 481 p. :
_bill. ;
_c24 cm
500 _aIncludes index.
504 _aIncludes bibliographical references and index.
505 0 _aPython essentials for DevOps -- Automating files and the Filesystem -- Working with the command line -- Useful Linux utilities -- Package management -- Continuous integration and continuous deployment -- Monitoring and logging -- Pytest for DevOps -- Cloud computing -- Infrastructure as code -- Container technologies : Docker and Docker compose -- Container orchestration : Kubernetes -- Serverless technologies -- MLOps and machine learning engineering -- Data engineering -- DevOps war stories and interviews.
_t1. Python Essentials for DevOps
_t2. Automating Files and the Filesystem
_t3. Working with the Command Line
_t4. Useful Linux Utilities
_t5. Package Management
_t6. Continuous Integration and Continuous Deployment
_t7. Monitoring and Logging
_t8. Pytest for DevOps
_t9. Cloud Computing
_t10. Infrastructure as Code
_t11. Container Technologies: Docker and Docker Compose
_t12. Container Orchestration: Kubernetes
_t13. Serverless Technologies
_t14. MLOps and Machine learning Engineering
_t15. Data Engineering
_t16. DevOps War Stories and Interviews
520 _a"Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today's most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you'll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide."--
650 0 _aPython (Computer program language)
650 0 _aObject-oriented programming languages.
650 0 _aComputer software
_xDevelopment.
650 7 _aObject-oriented programming languages.
_2fast
650 7 _aComputer software
_xDevelopment.
_2fast
650 7 _aPython (Computer program language)
_2fast
700 1 _aBehrman, Kennedy
700 1 _aDeza, Alfredo
700 1 _aGheorghiu, Grig
906 _a7
_bcbc
_ccopycat
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942 _2ddc
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