S3E2: Working with Cloud Resources and DevSecOps
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S3E2: Working with Cloud Resources and DevSecOps
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📘 Chapter 5: Manipulating Resources
🔐 Chapter 6: Security and DevSecOps with Python
They explore how Python fits into modern DevOps workflows—from data handling and multiprocessing to securing secrets and automating incident response. Michael even demos a Jupyter notebook visualization for CPU utilization analysis and shares tips for smoothing data with Python.
Expect lively discussion, practical insights, and a few laughs as they debate when Python *isn’t* the right tool and preview what’s next: automation and event-driven architecture with AWS Lambda.
00:00 Welcome & Warm-Up
04:10 Chapter 5: Manipulating Resources
10:25 Expectations vs. Reality
14:51 Chapter 6: DevSecOps with Python
19:47 Secrets and Environment Management
26:08 Kubernetes & Binary Authorization
31:49 Incident Response & Monitoring
43:00 What’s Next: Automation & Event-Driven Architecture
📕 The Book → Hands-On Python for DevOps
💻 The Code → Packt GitHub Repo
🧠 The Demo → Jupyter Notebook Visualization
👍 Don’t forget to like, subscribe, and hit the bell so you never miss an episode\!
💬 Join the conversation in the comments and share your experiences using Python in DevOps.
#CoverToCode #PythonForDevOps #DevOps #CloudComputing #TechBookClub #InfrastructureAsCode #Python #Security #Automation
Find us online at covertocode.com.
Hosted by:
- Angela A. @scooterphoenix
- Michael J. @managedkaos
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