DevOps for Network Automation (NetDevOps)

Go to Course: https://www.coursera.org/learn/devops-for-network-automation-netdevops

Introduction

### Course Review: DevOps for Network Automation (NetDevOps) on Coursera In an age where efficient network management and automation are paramount, the course titled **DevOps for Network Automation (NetDevOps)** offered on Coursera stands out as a comprehensive introduction to the impactful intersection of DevOps and network operations. This course caters to network engineers and development professionals who are eager to harness automation and modern methodologies to boost their performance in network-related tasks. #### Course Overview **DevOps for Network Automation (NetDevOps)** is designed to equip learners with the knowledge and tools necessary to navigate the evolving landscape of network operations. By delving into fundamental DevOps tools like Git and virtual development environments in Python, the course lays a solid foundation for both seasoned professionals and newcomers. The curriculum succinctly covers critical topics such as: - **Continuous Integration**: Understanding how to integrate code changes regularly to facilitate faster delivery cycles and improve code quality. - **Agile Methodologies**: Exploring modern development practices and their application in the context of network automation. - **NetDevOps Framework**: Bridging the gap between development and operations within the networking domain. By the end of this course, participants will not only understand core DevOps principles but also how to apply them within the context of networking, ultimately leading to enhanced operational efficiency and success. #### Syllabus Breakdown 1. **Course Introduction for DevOps for Network Automation (NetDevOps)**: This introductory module seamlessly guides learners through the course structure and outcomes. It sets the stage for what to expect and how to leverage the course to maximize learning. 2. **Exploring Software Development Methodologies**: This section takes a deep dive into various software development methodologies, showcasing how the efficiency seen in traditional manufacturing can be applied to software development. The relevance of classic and innovative methodologies within the IT sector is explored, emphasizing the need for speed and quality in software delivery. 3. **Describing NetDevOps: DevOps for Networking**: As the course progresses, learners are introduced to the principles behind NetDevOps. By understanding how DevOps can be applied to networking, this module highlights the significance of uptime, reliability, and automation. Common tools used in the NetDevOps pipeline, which facilitate these principles, are also examined. 4. **Managing Automation Development Environments**: This module emphasizes the importance of reproducible and consistent environments for developers and network automation engineers. By discussing the use of containers and virtual machines, learners will understand how to manage software dependencies effectively, leading to smoother development processes. #### Why You Should Enroll **DevOps for Network Automation (NetDevOps)** is an essential course for anyone working in network operations or aspiring to enter the field. Here are a few compelling reasons to consider enrolling: - **Practical Knowledge**: The course focuses on practical applications, providing students with tools and methodologies that they can implement directly in their workplaces. - **Industry-Relevant Skills**: As the IT landscape shifts towards automation and integrated methodologies, this course prepares you to meet current and future demands of the job market. - **Flexibility**: Being hosted on Coursera, learners can proceed at their own pace, making it easier to balance the course with other professional responsibilities. #### Final Recommendation In conclusion, **DevOps for Network Automation (NetDevOps)** is a thoughtfully curated course that delivers significant value for its learners. By bridging the gap between traditional networking practices and modern DevOps methodologies, this course paves the way for improved efficiency and innovation in network operations. Whether you are looking to upskill or venture into new territory within network automation, this course is highly recommended. Enroll now and take the first step toward mastering the integration of DevOps in networking!

Syllabus

Course Introduction for DevOps for Network Automation (NetDevOps)

In this module, we will review the topics and what you will learn in this course.

Optimizing production processes is important—this priority is best seen in companies like Toyota and Ford that know how to efficiently manage mass production of complex systems. This emphasis on optimization is also true for software development these days: software needs to be delivered as rapidly as possible at extremely high quality. Business requirements are changing and industries are changing; software development now resembles manufacturing as it was decades ago. While software development is like other industries, the IT industry possesses some unique operational requirements that must be met. This section explores the related methodologies in IT, from the most classic to the most innovative ones. 

The principles of DevOps have been around for quite some time now. Its initial applicability was toward applications and bridging the gap between application developers and the operations teams who supported those applications. However, over the past few years, a concept that is called network development and operations (NetDevOps) has emerged that covers the applicability of DevOps principles, processes, and tools for IT networking professionals with the goal of increasing uptime, reliability, and predictability, while also benefiting from automation. This module explores common tools that are used within a NetDevOps pipeline.

Automation development environments allow developers and network automation engineers to work in consistent and reproducible environments. These environments accommodate the software dependencies and versions that vary from one system to another by using isolated environments, containers, and tools that manage multiple virtual machines (VMs).