
KCD Toronto 2026
Session Overview on MCP Servers, Agents, and Kubernetes Notes The session focused on selecting the right operators, gateways, and tooling for running MCP servers and AI agents on Kubernetes. The…
Cloud & Platform Engineering
Practical, hands-on notes on Kubernetes, cloud architecture, infrastructure as code and the systems behind modern AI platforms, written from real production experience.
KubestronautCertified across all five CNCF Kubernetes exams: KCNA, KCSA, CKA, CKAD and CKS.


Session Overview on MCP Servers, Agents, and Kubernetes Notes The session focused on selecting the right operators, gateways, and tooling for running MCP servers and AI agents on Kubernetes. The…
In the world of cloud-native applications, securing traffic with TLS/SSL is non-negotiable. But deciding where to decrypt that traffic at the ingress controller or at the backend can be tricky.…
API Priority and Fairness (APF) in Kubernetes is a sophisticated system designed to manage how the Kubernetes API server handles incoming requests, especially during times of high traffic or…
While many organizations focus on multi-cloud strategies for resilience, there’s a critical gap that often gets overlooked: What happens when your Git repository provider goes down? For teams…
In modern computing environments, managing workloads efficiently is critical. Two key concepts that often come up in this context are orchestration and job scheduling. While they may seem similar,…
The AI Maturity Model describes a journey from initial curiosity about AI to full integration where AI shapes the very essence of the business. Organizations can use this model to understand where…
What Powers AI Models? Have you ever wondered what powers the AI models we hear so much about? Many people focus on the final AI applications they use every day, but behind the scenes, a…