Best of DevOps 2022

Bret is joined by Nirmal Mehta of AWS and engineering consultant Laura Tacho, for the annual Best of DevOps.

We've started this trend of going through the year's best (and worst) of DevOps every December, everyone brings their topics, we mix them all up and try to get through all of it. This year, we came pretty close.

We cover many topics in this year's episode, things like desktop GUIs for containers, the return of real-life conferences, Docker reaching a significant milestone, AI, ML, data platforms and much, much more.

Streamed live on YouTube on December 8, 2022. Includes demos.

Unedited live recording of this show on YouTube (Ep #194)

★Topics★
Full doc of topics (more than we could cover)
Year of Desktop GUI’s for Container Dev and Cloud Native Mgmt
Docker Extensions List
Rancher Desktop
Podman Desktop
Lens commercial
OpenLens
k9s website
Kui website

DevOps Survey Trends
OpenTelemetry Articles
- Transforming IT Departments
- Properly Explained and Demoed
- Getting Started

Karpenter website
eBPF and Profiling
- Pixie
- Parca

★Laura Tacho★
Laura's website
Laura's Course
Laura on Twitter

★Nirmal Mehta★
Nirmal on Linkedin
Nirmal on Mastodon
Nirmal on Twitter

★Join my Community★
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• (00:00) - DDT MAIN
• (00:04) - Template intro
• (00:53) - Custom intro
• (04:25) - Main show
• (04:45) - Introducing the guests
• (05:20) - In today's episode
• (05:52) - The year of desktop GUIs
• (12:14) - In real life conferences
• (12:46) - Boom and Bust
• (13:30) - Will Jenkins go away?
• (14:39) - GitHub Actions
• (16:14) - Laura's Rubber-band Theory
• (19:09) - Revenue and Docker's comeback
• (21:02) - Other trends
• (21:11) - DORA report
• (22:21) - Increased security requirements
• (24:31) - Jumping on the security bandwagon
• (25:43) - Security by default
• (27:04) - Rapid fire Kubernetes happenings
• (28:06) - Bret's Maven Course
• (28:15) - Laura's teaching
• (29:04) - WASM+ Docker
• (29:38) - Slim.ai
• (30:29) - Open telemetry
• (35:37) - Carpenter
• (37:04) - Lack of staff
• (37:50) - AI
• (40:38) - Boosting productivity
• (44:38) - ML models developed and running in containers
• (46:14) - Wrapping up
• (46:40) - Outro

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