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In this episode, we explore a checklist Sysdig wrote on the first 30/60/90 days of a DevOps Engineer with Pawan Shankar (a beast!) . this is content that regardless of my employment with Sysdig i would absolutely devour and i hope you all will enjoy the time we spend on it, as its vital for Engineers, Tech Leadership, etc. Justin Garrison is a senior developer advocate at Amazon, he is formerly of Disney animation/streaming services and Disney+. he wrote a book with Kris Nova on Cloud Native infrastructure which shows the process, people, chaos factors in bringing together cloud native applications if a very digestible way. He gives his opinion on the first 30/60/90 days of a devops engineer, and valuable advice for automation. Justin provides some very amazing stories from his time at Disney and beyond to his brand new role at AWS as a Developer Advocate. Lastly, we talk about video games, debate MK vs Street Fighter, Home theater, and Justin gives perhaps the best GPU/CPU analogy i have ever heard. Justin is a great guy and i was so impressed by him. Links: 30/60/90 day checklist for DevOps - https://sysdig.com/resources/whitepapers/30-60-90-day-checklist-for-devops-engineer/ Justin and Kris Nova's book - https://amzn.to/3e0dmXn Timestamp/Topic: 00:00 - Pawan Shankar Intro (Pawancast!) 02:52 - Origins of the 30/60/90 day checklist for Devops teams 06:20 - 30 Day Goal 06:52 - 60 Day Goal 07:51 - 90 Day Goal 08:42 - Team Olive 10:16 - Justin Garrison Intro 11:04 - Justin's beginnings 14:20 - ...Disney! 15:47 - Making Movies through the magic of automation 20:40 - Scaling at the speed of Mickey... 22:32 - Conway's Law and Movie Credits 24:13 - Writing the book "Cloud Native Infrastructure" with Kris Nova 34:12 - Justin's thoughts on the first 30/60/90 days of a DevOps Engineer 39:19 - Justin's new role at Amazon Web Services as a developer advocate 43:10 - What work is Justin most proud of.... 45:55 - Street Fighter vs Mortal Kombat.. debate 51:40 - Justin and POP discuss home theater 58:35 - Justin gives the best GPU/CPU usage analogy i have ever heard. |