Page 3 — Technical articles on Kubernetes, K3s, and Proxmox
A single checkout request was quietly triggering five separate service calls behind the scenes. The culprit isn't bad code — it's the "chatty call" architecture that Kubernetes microservices tend to fall into. This article explains the distributed N+1 problem and how to fix it.
AI compute demand has flipped from training to inference, with inference compute projected to reach 1.5x training capacity by 2030. Drawing on KubeCon Japan discussions and the CNCF AI Conformance Program, this article outlines what Kubernetes/K3s clusters need to look like in the inference era.
A field report from a large-scale K3s edge deployment covering 2,000+ devices: why lightweight Kubernetes gets chosen, and the hidden network cost of push-based metrics collection in a hybrid cluster architecture, backed by concrete numbers. For engineers and platform operators.
Generative AI has made it possible for almost anyone to write code, yet as more companies adopt AI, demand for MLOps talent who can reliably run GPUs and model serving on Kubernetes keeps rising. Here's why, and how a managed Kubernetes platform can help.
Kubernetes Secrets are only Base64-encoded, not encrypted. Learn how plaintext-equivalent storage in etcd and over-permissioned RBAC lead to real incidents, plus the concrete Secrets management practices you need for production K3s.
When adding more Pods to Kubernetes doesn't fix latency, the real cause may not be CPU at all, but invisible throttling or database connection pool exhaustion. Here's how to diagnose and fix the hidden ceiling.
Handing off Kubernetes incident response to AI doesn't help if the causal chain across a distributed system stays invisible. This piece covers the distributed tracing foundation that makes AIOps actually work, plus practical steps for adopting OpenTelemetry.
The trial-and-error troubleshooting behind a home-lab wall-mounted dashboard is the same trap that hits edge Kubernetes clusters scattered across factories and stores. Drawing on official K3s, Prometheus, and Grafana docs, this piece lays out design principles for not deferring observability.
Splitting environments by namespace doesn't automatically carry over policies or resource limits. This article breaks down the pitfalls of Kubernetes multi-tenancy and compares three practical solutions: Capsule, vCluster, and HNC.
Stacking more QA tests doesn't reduce production incidents, because it's fundamentally impossible to enumerate every edge case in advance. This article explains the 'design for failure' mindset behind feature flags, monitoring, and automated rollback in Kubernetes, plus a practical adoption roadmap for K3s environments.