What this book covers
Chapter 1, Introducing DevOps Principles, will help you understand the concepts behind DevOps and how they are important in improving the productivity of your workload.
Chapter 2, Talking about Python, covers the core philosophical principles behind DevOps and how these principles define the approach that you take toward creating a solution.
Chapter 3, The Simplest Ways to Start Using DevOps in Python Immediately, provides a quick look at Python and the principles behind it, along with how these principles align with the principles of DevOps.
Chapter 4, Provisioning Resources, explores the easiest ways to use Python such that it could enhance your DevOps workload.
Chapter 5, Manipulating Resources, covers using Python as a means to provision resources in a sustainable and accurate way for your DevOps workload.
Chapter 6, Security and DevSecOps with Python, looks at modifying resources that already exist using Python in order to automate updates and mass modify replicated resources.
Chapter 7, Automating Tasks, explores using Python to automate common DevOps tasks and increase productivity for users by saving time on repetitive tasks.
Chapter 8, Understanding Event-Driven Architecture, covers using Python as a way to connect different systems to system architectures using event-driven concepts.
Chapter 9, Using Python for CI/CD Pipelines, looks at using Python for the most common DevOps task of Continuous Integration/Continuous Deployment (CI/CD) and enhancing these CI/CD pipelines.
Chapter 10, Common DevOps Use Cases in Some of the Biggest Companies in the World, looks at Python in DevOps use cases in the context of some of the biggest companies and workloads provided by the major cloud platforms.
Chapter 11, MLOps and DataOps, provides a look at the machine learning and big data niches of DevOps and how Python can help enhance these workloads.
Chapter 12, How Python Integrates with IaC Concepts, explores how Python libraries and frameworks are used to provision resources using infrastructure as code to build and modify DevOps workloads in a standardized way.
Chapter 13, The Tools to Take Your DevOps to the Next Level, looks at advanced DevOps concepts and tools and how they can be integrated into your workload.
