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From Cover to Code

From Cover to Code

By: Cover to Code
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 From Cover to Code is a technology book club! In each season of the show, hosts Angela Andrews and Michael Jenkins read tech books, try out the code, and discuss what they learn. Expect practical takeaways and lively conversations on software development, artificial intelligence, cloud computing, and more.2025 Art Literary History & Criticism Science
Episodes
  • S3E5: Python for MLOps, DataOps, and Infrastructure as Code

    S3E5: Python for MLOps, DataOps, and Infrastructure as Code
    Oct 25 2025
    Angela Andrews and Michael Jenkins continue their journey through *Hands-On Python for DevOps* with a deep dive into Chapters 11 and 12 — exploring how Python bridges the gap between data science, operations, and infrastructure management.

    This episode connects the dots between MLOps, DataOps, and Infrastructure as Code (IaC) — showing how Python’s simplicity and versatility make it an essential tool for automating data workflows, deploying machine learning models, and defining infrastructure reproducibly.

    Expect lively discussion, insightful quotes, and practical takeaways from real-world DevOps experience.

    Book Chapters Covered

    - Chapter 11: MLOps and DataOps
    - Chapter 12: Python and Infrastructure as Code (IaC)

    Video & Podcast Chapters

    00:00 Welcome and Episode Setup
    03:00 The Future Is Now – AI and Career Differentiation
    06:30 Why Python Dominates DataOps and MLOps
    10:45 Working with Data and the Power of Pandas
    14:15 The Three V’s of Data Complexity: Velocity, Volume & Variety
    19:30 Streaming Data and Real-Time Processing with Flink and Pandas
    25:00 AI Evolution and How Tech Books Keep Up
    32:30 Understanding Infrastructure as Code (IaC)
    36:00 Salt vs Ansible vs Terraform SDK – Python in IaC Tools
    43:30 Community Shout-Outs and Next Episode Preview

    Key Takeaways

    - Python is the universal connector between DevOps, DataOps, and MLOps — powering automation, analytics, and infrastructure.
    - The Three V’s (Velocity, Volume, Variety) define modern data challenges; Python libraries like Pandas and Flink help manage them efficiently.
    - Infrastructure as Code (IaC) transforms how teams manage cloud resources — codifying provisioning, replication, and scaling for AWS, Azure, and GCP.
    - Tools like Terraform + Ansible deliver the perfect one-two punch for deployment and configuration.
    - Even as AI-assisted coding evolves, foundational knowledge still matters. Understanding the “nuts and bolts” ensures better troubleshooting and design.
    - The hosts reflect on enduring classics like "UNIX in a Nutshell" and discuss how agile digital publishing keeps technical learning relevant.

    🔗 Resource Links

    📘 The Book — "Hands-On Python for DevOps"

    💻 The Code Repository: PacktPublishing/Hands-On-Python-for-DevOps

    Conferences:


    • BITCon
    • Afrotech
    • RenderATL

    🙌 Join the Conversation

    Don’t forget to like, subscribe, and comment to share your own experiences with Python, MLOps, and IaC.

    Follow the hashtag #CoverToCode on LinkedIn and YouTube to catch upcoming discussions — next up: “The Tools to Take Your DevOps to the Next Level.”

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
    Show More Show Less
    48 mins
  • S3E4: Using Python in CI/CD Pipelines

    S3E4: Using Python in CI/CD Pipelines
    Oct 19 2025
    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 ​
    Show More Show Less
    53 mins
  • S3E3_Automating_Tasks_and_Event-Driven_Architecture-Driven_Architecture

    S3E3_Automating_Tasks_and_Event-Driven_Architecture-Driven_Architecture
    Oct 15 2025
    In this episode of From Cover to Code, Angela and Michael continue their exploration of Hands-On Python for DevOps, diving into Chapters 7 and 8 — where Python meets automation and event-driven architecture.

    They unpack what happens when Python steps into the world of automating DevOps workflows and connecting systems that respond in real time. From automating routine server maintenance to building loosely coupled systems, this conversation highlights both the potential and the pitfalls of using Python in large-scale automation.

    Expect real stories, practical takeaways, and thoughtful reflection on the balance between innovation, governance, and simplicity in modern DevOps.

    Book Chapters Covered:

    🔹 Chapter 7 – Automating Tasks
    🔹 Chapter 8 – Understanding Event-Driven Architecture

    Video Chapters:

    00:00 Welcome and Introduction
    03:00 Automating Tasks with Python
    10:05 Real-World Example: Automating Server Reboots
    13:20 Server Maintenance and Patching with Boto
    18:48 Containers, Kubernetes, and When Not to Automate
    25:50 Google Forms, Apps Script, and AWS Lambda Automation
    31:28 Understanding Event-Driven Architecture
    38:20 Lessons from the Toyota Way and Lean Thinking
    42:46 Loosely Coupled Systems and Queue-Based Design
    44:10 Breaking Down the Monolith (Strangler Fig Pattern)
    53:00 Legacy Modernization and Digital Transformation
    54:24 Looking Ahead to CI/CD with Python

    Key Discussion Highlights:
    • Automation for Humans: Michael shares a real-world story of automating nightly server reboots — freeing up time (and sleep) through scripting.
    • Python in DevOps: The hosts discuss patching automation with Python’s boto library, tagging AWS resources effectively, and the importance of maintainable code.
    • When Not to Automate: Angela and Michael debate whether using Python to build Docker images or Kubernetes clusters is genius or overkill.
    • Event-Driven Mindset: They break down event-driven architecture through Kafka, Pub/Sub, and the principle of loosely coupled systems.
    • From Monolith to Modern: The “Strangler Fig” approach and digital transformation are unpacked as metaphors for gradual modernization.
    • Practical Wisdom: The conversation ties DevOps principles with lean manufacturing and continuous improvement — “make it work, then make it pretty.”
    Resources:

    📘 The Book: Hands-On Python for DevOps on O’Reilly
    💻 Code Repository: Packt Publishing GitHub Repo
    🧠 Episode Demo: Google Form Triggered Lambda Example

    Your Hosts:
    Angela Andrews – @scooterphoenix
    Michael Jenkins – @managedkaos

    Don’t forget to like, subscribe, and join the conversation on LinkedIn or YouTube.

    Share how you’re using Python to automate your DevOps world — and catch the next episode as Angela and Michael dive into Python for CI/CD Pipelines.

    #CoverToCode #PythonForDevOps #Automation #EventDrivenArchitecture #DevOps #CloudComputing #TechBookClub #InfrastructureAsCode #Python

    Find us online at covertocode.com.

    Hosted by:
    • Angela A. @scooterphoenix
    • Michael J. @managedkaos ​
    Show More Show Less
    58 mins
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