Uploaded February 2026 | Updated September 2026, 1 day ago
In this AMA livestream, Viktor and Scott tackle a wide range of questions from their audience, covering everything from AI's impact on DevOps careers to the nuances of Kubernetes tooling. They reassure viewers that AI won't replace DevOps engineers, but emphasize that professionals who leverage AI will outperform those who don't — drawing parallels to how technologies like Kubernetes and cloud computing raised productivity without eliminating jobs. The conversation also dives into the mono repo vs. poly repo debate, career advice for juniors and career changers, and the current state of the job market, with both hosts stressing the importance of specializing in specific technologies and contributing to open-source projects to stand out.
On the technical side, Viktor and Scott share detailed insights on Crossplane compositions, the proper use of provider Terraform/OpenTofu as a stop-gap solution, Kubernetes operators, and the role of Kubernetes as the dominant runtime for AI workloads. They discuss the new Flux operator web UI, comparing it favorably to Argo CD's interface, and predict the two tools will eventually reach market equilibrium. Other topics include using Kine as an etcd replacement, abstraction layers for developers working with Crossplane, the Kamaji project for managed control planes, and practical tips on integrating AI tools into daily DevOps workflows without overcomplicating simple tasks.
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00:00 Intro (skip to first question)
06:12 Will AI take DevOps jobs?
11:18 Monorepos vs polyrepos preference
14:46 How hard to get DevOps job in Europe from India?
19:02 Can you be hired for company workshops?
20:03 AI trends in Kubernetes - what's hot?
22:25 What's the future scope of MLOps?
23:30 Am I too old at 42 to transition to DevOps?
26:40 How to combine AI tools in daily DevOps work?
28:04 Opinions on Kubernetes operators development?
29:55 Crossplane provider Terraform/OpenTofu for state storage?
34:00 Is it good to use compositions of compositions?
36:15 Azure DevOps 2020 performance issues with MSBuild
39:40 Third party DB with no crossplane provider - use OpenTofu?
41:11 Opinion on Flux operator web UI in latest release?
43:13 Good abstraction layer for crossplane resources for developers?
46:14 Is there value in manually cloning repos anymore?
49:34 Views on using Postgres as etcd replacement with Kine?
51:38 Is Flux UI the Argo CD killer?
57:11 Have you worked with Kamaji? Any opinions?
59:22 Should I put Helm chart in app repo for compositions?
60:35 ML workload orchestrators like KubeRay in Kubernetes?
61:07 Should I put raw XR manifests in app repo for GitOps?
In this AMA livestream, Viktor and Scott tackle a wide range of questions from their audience, covering everything from AI's impact on DevOps careers to the nuances of Kubernetes tooling. They reassure viewers that AI won't replace DevOps engineers, but emphasize that professionals who leverage AI will outperform those who don't — drawing parallels to how technologies like Kubernetes and cloud computing raised productivity without eliminating jobs. The conversation also dives into the mono repo vs. poly repo debate, career advice for juniors and career changers, and the current state of the job market, with both hosts stressing the importance of specializing in specific technologies and contributing to open-source projects to stand out.
On the technical side, Viktor and Scott share detailed insights on Crossplane compositions, the proper use of provider Terraform/OpenTofu as a stop-gap solution, Kubernetes operators, and the role of Kubernetes as the dominant runtime for AI workloads. They discuss the new Flux operator web UI, comparing it favorably to Argo CD's interface, and predict the two tools will eventually reach market equilibrium. Other topics include using Kine as an etcd replacement, abstraction layers for developers working with Crossplane, the Kamaji project for managed control planes, and practical tips on integrating AI tools into daily DevOps workflows without overcomplicating simple tasks.
▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬
00:00 Intro (skip to first question)
06:12 Will AI take DevOps jobs?
11:18 Monorepos vs polyrepos preference
14:46 How hard to get DevOps job in Europe from India?
19:02 Can you be hired for company workshops?
20:03 AI trends in Kubernetes - what's hot?
22:25 What's the future scope of MLOps?
23:30 Am I too old at 42 to transition to DevOps?
26:40 How to combine AI tools in daily DevOps work?
28:04 Opinions on Kubernetes operators development?
29:55 Crossplane provider Terraform/OpenTofu for state storage?
34:00 Is it good to use compositions of compositions?
36:15 Azure DevOps 2020 performance issues with MSBuild
39:40 Third party DB with no crossplane provider - use OpenTofu?
41:11 Opinion on Flux operator web UI in latest release?
43:13 Good abstraction layer for crossplane resources for developers?
46:14 Is there value in manually cloning repos anymore?
49:34 Views on using Postgres as etcd replacement with Kine?
51:38 Is Flux UI the Argo CD killer?
57:11 Have you worked with Kamaji? Any opinions?
59:22 Should I put Helm chart in app repo for compositions?
60:35 ML workload orchestrators like KubeRay in Kubernetes?
61:07 Should I put raw XR manifests in app repo for GitOps?
