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Observability on NKP
Observability on Nutanix Kubernetes Platform, tested in the AI lab in three parts: the concepts and what NKP ships, NKP Insights and the OpenTelemetry Operator, with the mistakes and wins along the way.
Field notes from an AI lab
Leimar Braz
AI Tech Lead
I lead the technical side of Artificial Intelligence at ClearIT. This blog is my field notebook: what I test in the lab, with the commands, the timings and the problems that showed up along the way.
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Upgrading NKP 2.18 → 2.19 in practice
The Nutanix Kubernetes Platform upgrade in the AI lab, in three parts and in project order: the preparation, the upgrade window and post-upgrade, with the commands, the timings and the incidents along the way.
Recent posts
· 11 min read
Observability on NKPPart 1: the concepts
Monitoring is not observing. The pillars, the methods for choosing what to measure, the tools on the market and what NKP 2.19 already ships turned on. In the lab, turning on logs in a workload cluster took four apps, a full Ceph storage cluster and a lesson about dependencies.
· 14 min read
Upgrading NKP 2.18 → 2.19 in practicePart 3: post-upgrade
After the window: health check and backup on 2.19, cleaning up the leftovers and a test drive of what's new. The AI Navigator went from 0 to 2 correct answers out of 3 with a single catalog app, and Headlamp made me take seriously a warning I had dismissed.
· 12 min read
Upgrading NKP 2.18 → 2.19 in practicePart 2: the upgrade
The Nutanix Kubernetes Platform upgrade window: Kommander and the management cluster with the CLI, the workload cluster through the new 2.19 UI, the timing of each step and the two incidents along the way.
· 13 min read
Upgrading NKP 2.18 → 2.19 in practicePart 1: the preparation
Assessment, workload cluster creation, downloads and backup: the four phases I went through before running the first Nutanix Kubernetes Platform upgrade command.