A curated list of must-see developer sessions from Microsoft Build 2025, focusing on AI, cloud, and development tools.
A developer shares their personal experience and key takeaways from attending the CloudNativeCon + KubeCon Europe conference in Paris.
Explains the nuanced differences between privileged pods and host namespace sharing in Kubernetes, clarifying common misconceptions.
Explores the distinction between informal 'notes' for quick sharing and formal 'blogs' for polished writing in tech content creation.
Estimates Kubernetes audit log volume at ~1GB/day for a minimal 2-node cluster using basic metadata-level logging.
A framework for evaluating work based on Expertise, Purpose, Fun, and Difficulty, with examples from Kubernetes security.
A deep dive into the various mechanisms that can evict or terminate Pods in Kubernetes, explaining internal behaviors and control strategies.
Explains how to use multiple Kubernetes config files with kubectl via the KUBECONFIG environment variable, including merging and management tips.
A technical guide on deploying DeepSeek's open reasoning AI models on Google Kubernetes Engine (GKE) using vLLM and a Gradio interface.
Explains Kubernetes Golden Tickets, a security flaw allowing attackers to forge admin certificates and tokens, with scripted exploitation steps.
A guide to using Helm, the package manager for Kubernetes, covering Helm charts, installation, deployment, and best practices.
A technical guide on deploying Chaos Mesh, a chaos engineering platform, onto an Azure Kubernetes Service (AKS) cluster using Terraform infrastructure-as-code.
A technical guide on installing the Kube Resource Orchestrator (kro) on Azure Kubernetes Service (AKS) using Terraform configuration.
A technical guide on installing Azure Service Operator on an AKS cluster using Terraform, including provider configuration and resource definitions.
Introducing the Kubernetes History Inspector, an open-source tool for visualizing cluster events and logs in a detailed timeline.
Part 2 of a guide on running Apache Flink on Kubernetes, covering fault tolerance, high availability, savepoints, and observability.
Part 2 of a guide on running Apache Flink on Kubernetes, covering fault tolerance, high availability, savepoints, and observability.
Explains the non-random algorithm Kubernetes uses to select pods for deletion during scale-in operations, including the pod-deletion-cost annotation.
Explains the technical necessity of the `matchLabels` keyword in Kubernetes Deployments and why it cannot be automatically inferred.
A personal guide on preparing for and passing the Certified Kubernetes Administrator (CKA) exam, covering study resources, exam simulation, and practical tips.
