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Zendesk Streamlines Infrastructure Provisioning with Foundation Interface Platform

Zendeskhas tossed out the old playbook with itsFoundation Interface. Forget the guessing games of infrastructure provisioning; engineers now scribble their demands in YAML, and voilà—magic happens. Kubernetes operators step in, spinning these requests into Custom Resources. It’s self-service nirvana.. read more  

Zendesk Streamlines Infrastructure Provisioning with Foundation Interface Platform
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Setting up Prometheus Stack on Kubernetes

Devtronis Kubernetes monitoring on overdrive. It ropes inPrometheusandGrafana, automates the pesky setup, and shoots real-time insights straight into a slick UI. Effort? Minimal. Results? Maximal... read more  

Setting up Prometheus Stack on Kubernetes
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Post-Quantum Cryptography in Kubernetes

Kubernetes v1.33quietly rides thepost-quantum securitywave, thanks to Go 1.24's hybrid key exchanges. Watch out for version mismatches, though—those could sneakily downgrade your defenses... read more  

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Rethinking Node Drains: A Webhook Based Approach to Graceful Pod Removal

Eviction Reschedule Hooksticks its nose in Kubernetes eviction requests, letting operator-managed stateful apps wriggle their way through node drains without breaking a sweat. 🎯.. read more  

Rethinking Node Drains: A Webhook Based Approach to Graceful Pod Removal
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Automated Kubernetes Threat Detection with Tetragon and Azure Sentinel

Kubernetes security tools usually drop the ball. Enter the dynamic duo:Tetragonwielding eBPF magic for deep observability, and smart notifications for sniper-precise alerts.Fluent Bitpairs withAzure Logic Appsin an automated setup so you can hunt down threats in real-time. Not a drop of sweat needed.. read more  

Automated Kubernetes Threat Detection with Tetragon and Azure Sentinel
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Securing Kubernetes 1.33 Pods: The Impact of User Namespace Isolation

Kubernetes 1.33rolls out with a security upgrade. It flips the switch onuser namespacesby default, shoving pods into the safety zone as unprivileged users. Potential breaches? Curbed. But don't get too comfy—idmap-capable file systems and up-to-date runtimes are now your new best friends if you want.. read more  

Securing Kubernetes 1.33 Pods: The Impact of User Namespace Isolation
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6 Design Principles for Edge Computing Systems

Edge systemseach have their eccentricities, needing solutions as unique as they are:Chick-fil-Aswears byKubernetesto herd its standard operations. TheAir Force, however, prizes nimbleness and ironclad security for deployments scattered across the globe. Smart edge management? It’s a mix ofInfrastruc.. read more  

6 Design Principles for Edge Computing Systems
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Kubernetes Observability with OpenTelemetry | A Complete Setup Guide

OpenTelemetrydelivers a full observability package for Kubernetes—traces, metrics, logs—all without handcuffs to a single vendor. Deployyour own OTEL Collectorson Minikube usingHelm charts. Dive into node and pod-level metrics and grab those can't-miss Kubernetes cluster events... read more  

Kubernetes Observability with OpenTelemetry | A Complete Setup Guide
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Under the hood: Amazon EKS ultra scale clusters

Amazon EKScranked up its gear—you can now spin up clusters with a staggering100,000 nodesat your beck and call. That’s a cozy home for either1.6 million AWS Trainium chipsor800,000 NVIDIA GPUs. Welcome to the playground for ultra-scale AI/ML. Performance soars skyward by ditching old etcd consensus .. read more  

Under the hood: Amazon EKS ultra scale clusters
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The Evolution of Virtualization Platforms: The Rise of Managed Services and Local Providers’ Edge Against Hyperscalers

Cozystackwants local cloud providers to flex by deliveringKubernetes-based managed serviceswithout breaking a sweat. Who needs hyperscalers anyway? Built on open-source goodness, it ditches vendor lock-in, giving these providers the freedom to roll out next-gen infrastructures in style... read more  

The Evolution of Virtualization Platforms: The Rise of Managed Services and Local Providers’ Edge Against Hyperscalers
Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.