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Connecting Applications to Self-Service Datastores

Self-service datastore delivery just got easier with Kubernetes init containers and mutating admission webhooks automating secrets provision and rotation securely, simplifying developer workflows and enhancing data security... read more  

Connecting Applications to Self-Service Datastores
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From Kafka to Ray: Deploying AI and Stateful Workloads on AKS with Confidence

Azure's new AKS guides slice through the fog around deployingKafka,Apache Airflow, andRay. Spotlights shine onJVM tuningmagic for Kafka and a peek atKubeRaywrangling distributed Ray... read more  

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Azure Kubernetes Service (AKS) – eBPF-based networking & security + integration with Microsoft Sentinel

Banish premium woes.CiliumandTetragontake Kubernetes security and amp it up with instant insights and alerts inMicrosoft Sentinel—without costing you a dime. Forget kube-proxy. Harness eBPF magic for L7 inspection withEnvoy. Blend Cilium’s raw speed with Tetragon’s covert skills. Voilà—your cluster’.. read more  

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Introducing the Certified Cloud Native Platform Engineering Associate (CNPA): Community-Driven Certification for Platform Engineers

The CNPA cert isn't just a piece of paper—it's your ticket to proving you're a maestro of platform engineering. Think automation, observability, and making life easier for developers. Created by the CNCF and Linux Foundation, with a little help from over 50 tech visionaries, it's tailor-made for tho.. read more  

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Your Barbershop Doesn't Need Kubernetes

A$50K enterprise AI solutionfor a small barbershop’s calendar woes? Get real. Instead, roll up your sleeves, shell out a modest used car budget, and letAIwrestle with the true hairballs: no-shows, last-minute swaps, and—bonus—gleaming, satisfied clients... read more  

Your Barbershop Doesn't Need Kubernetes
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Save Millions on Your Cloud Bill: 11 Strategies for Kubernetes Cost Optimization

Cloud budgets take a 28% hit.Money vanishes like socks in a dryer. Tame the chaos by closely watching usage and putting Kubernetes on autopilot. Cost control starts with crystal-clear visibility and bold tweaks to cluster autoscaler settings. Custom schedulers and spot nodes can slash expenses, but .. read more  

Save Millions on Your Cloud Bill: 11 Strategies for Kubernetes Cost Optimization
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Dual-Stack: Cilium Complementary Features

Trade inRKE2 Nginxfor the nimbleCilium Gateway API. It cranks up your Layer 7 filtering, routing, and security magic—no BGP machine needed. And withCilium LB IPAM, IP addresses scatter across your local network like it’s confetti time... read more  

Dual-Stack: Cilium Complementary Features
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Enhancing Kubernetes Event Management with Custom Aggregation

Kubernetes Eventshold the keys to your cluster's secrets, but when event torrents flood in, finding the gems takes effort. An avalanche of alerts tests your patience, bandwidth, and sanity. Enter custom event aggregation miracles: they slice troubleshooting tedium from weeks to minutes. By stitching.. read more  

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Publishing AI models to Hub

Docker Model Runnerstruts out with new tricks:tag, push, and packagecommands. Want to pass around AI models like they're hot potatoes? Now you can. They're OCI artifacts now, slotting smoothly into your workflow like it was always meant to be... read more  

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Components of an Open Source AI Compute Tech Stack

AI stacks are zeroing in onKubernetes,Ray, andPyTorchto boost workload scaling, whilevLLMsteps up LLM processing. Yet, in research-heavy enclaves, the old warhorseSLURMstill has its spotlight... read more  

Components of an Open Source AI Compute Tech Stack
Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.

Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.