S3E4: Using Python in CI/CD Pipelines

Angela and Michael are back with another deep dive into Hands-On Python for DevOps! In this episode, they explore Chapters 9 and 10 — Using Python for CI/CD Pipelines and Common DevOps Use Cases in Big Companies. They unpack how Python streamlines continuous integration and delivery, making pipelines faster, more reliable, and easier to maintain. Then, they look at how major organizations apply DevOps and automation principles at scale — from Samsung’s data platform overhaul to MLB’s pitch-clock innovation — and what we can all learn from those approaches. Expect 🔥 insights, practical pipeline breakdowns, and lively discussion from two DevOps practitioners who live and breathe this stuff. Book chapters covered in this episode 🔹 Chapter 9: Using Python for CI/CD Pipelines 🔹 Chapter 10: Common DevOps Use Cases in Big Companies Video Chapters 00:00 Welcome & Opening Banter 02:45 Setting the Stage – Chapters 9 & 10 Overview 06:30 Why CI/CD Is Missing from Most Formal Education 09:35 The Doug Philosophy – “Do More and You’ll Learn More” 17:20 Michael’s 7-Step CI/CD Pipeline Breakdown 23:00 Tools of the Trade – Linting, Testing, and Packaging in Python 29:00 Deployment Rollbacks and Blue-Green Strategies 33:00 Business Use Cases: Samsung, Intertek, and Major League Baseball 48:10 Reflections, Lessons Learned & What’s Next (MLOps + IaC Preview) 51:00 Angela’s Terraform Tech Talk & Closing Thoughts Resources 📘 The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml 💻 The code repository: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main 🧪 The demo from this episode: https://docs.google.com/presentation/d/1ci087ShNepkFJLO1GvshIXO8TuMD5_E-dcKlnJu4BR8/edit?usp=sharing Don’t forget to like, subscribe, and hit the bell so you never miss an episode of From Cover to Code! Join the conversation in the comments; we want to hear how you’re using Python in your own CI/CD pipelines. Find us online at covertocode.com. Hosted by: Angela A. @scooterphoenix Michael J. @managedkaos ​