Understanding DevOps
DevOps is a process of automating continuous integration and deployments, management, and monitoring the feedback loops to maintain a reliable software application. DevOps combines Development and Operations which is a transformative approach that enhances collaboration and automation between the teams of developers, operations, and IT. The core objective of DevOps is to simplify and fasten the CI/CD process while maintaining the stability and reliability of software at the same time. By implementing the culture of collaboration and automation, DevOps breaks down the work into simpler tasks and reduces the manual work as well.
To learn more about DevOps, refer to this article: Introduction to DevOps
Python For DevOps: A Complete Guide For Beginners
Today, Python is one of the fastest-growing programming language and Python justify this as well with its wide use in all aspect of the programming domain whether it is software development, data handling, data analysis, or AI. Python is also used by all kinds of departments whether it is operations or IT. This advantage of Python is also helpful in Python.
- Understanding DevOps
- Why should you use Python for DevOps?
- How to use Python for DevOps Processes?
- Python Tools and Modules for Automating the DevOps Process
Python has all the toolkits required by DevOps professionals, whether it is automating the infrastructure or simplifying the configuration management. Python’s simple and readable scripts make it easy for developers to automate the software development lifecycle.
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