Python for DevOps learn ruthlessly effective automation
Material type:
TextPublication details: Mumbai Shroff Pub 2020Description: xx;481 pISBN: 9789352139583Subject(s): Programming Language | Python Computer Language | Computer ScienceDDC classification: 005.133 Summary: 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.
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Kannur University Central Library Stack | Stack | 005.133 PYT (Browse shelf (Opens below)) | Available | 68233 | |
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Kannur University Central Library Stack | Stack | 005.133 PYT (Browse shelf (Opens below)) | Available | 68218 |
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.
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