Cloud Native Application Protection Platforms (CNAPPs) • Russ Miles & James Lewis

GOTO - The Brightest Minds in Tech

This interview was recorded for the GOTO Book Club.
http://gotopia.tech/bookclub

Read the full transcription of the interview here

Russ Miles - Engineering Manager, Chaos Engineering Practitioner & Co-Author of "Cloud Native Application Protection Platforms"
James Lewis - Software Architect & Director at Thoughtworks
RESOURCES
Russ
https://bsky.app/profile/russmiles.bsky.social
https://github.com/russmiles
https://www.linkedin.com/in/russmiles

James
https://bsky.app/profile/boicy.bovon.org
https://twitter.com/boicy
https://linkedin.com/in/james-lewis-microservices
https://github.com/boicy
https://www.bovon.org

DESCRIPTION
In this episode of GOTO Book Club, James Lewis and Russ Miles discuss Cloud Native Application Protection Platforms (CNAPPs), focusing on how they promote collaboration across security and development teams.
Russ shares insights from his book, emphasizing the importance of OODA loops, balancing innovation with safety in platform design, and the benefits of off-the-shelf versus custom CNAPP solutions. Looking ahead, he predicts platform engineering will evolve into a commercial strategy like AWS and that AI will augment human decision-making, enhancing creativity and collaboration in the engineering field.
RECOMMENDED BOOKS
Miles, Giguere & Smith • Cloud Native Application Protection Platforms
Mina, Warda, Marins & Miles • Digitalization of Financial Services in the Age of Cloud
Russ Miles • Learning Chaos Engineering
Dan Pilone & Russ Miles • Head First Software Development
Kathy Sierra • Badass

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Fejezetek

1. Intro (00:00:00)

2. Exploring Cloud Native Application Protection Platforms (CNAPPs) (00:01:46)

3. Collaboration & OODA Loops in cloud native security (00:05:52)

4. Bridging the gap between security & development (00:16:48)

5. Creating platforms that foster innovation & collaboration (00:32:18)

6. To build or to buy a CNAPP (00:36:19)

7. Predictions for platform engineering & AI in 2025 (00:42:19)

8. Outro (00:44:45)