The Hidden AWS Cost Traps No One Warns You About (and How I Avoid Them)
Calling outfive sneaky AWS cost traps—the kind that creep in through overlooked defaults and quiet misconfigs, then blow up your bill while no one's watching... read more
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Kubernetes Primer: Dynamic Resource Allocation (DRA) for GPU Workloads
Kubernetes 1.34 brings serious heat for anyone juggling GPUs or accelerators. MeetDynamic Resource Allocation (DRA)—a new way to schedule hardware like you mean it. DRA addsResourceClaims,DeviceClasses, andResourceSlices, slicing device management away from pod specs. It replaces the old device plu.. read more
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Kubernetes right-sizing with metrics-driven GitOps automation
AWS just dropped a GitOps-native pattern for tuning EKS resources—built to runoutsidethe cluster. It’s wired up withAmazon Managed Service for Prometheus,Argo CD, andBedrockto automate resource recommendations straight into Git. Here’s the play: it maps usage metrics to templated manifests, then sp.. read more
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Amazon EKS Enables Ultra-Scale AI/ML Workloads with Support for 100K Nodes per Cluster
Amazon EKS just cranked its Kubernetes cluster limit to100,000 nodes—a 10x jump. The secret sauce? A reworkedetcdwith an internaljournalsystem andin-memorystorage. Toss in tightAPI server tuningand network tweaks, and the result is wild: 500 pods per second, 900K pods, 10M+ objects, no sweat—even un.. read more
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Lucidity turns spotlight onto Kubernetes storage costs
Lucidity has upgraded itsAutoScaler. It now handles persistent volumes on AWS-hosted Kubernetes, automatically scaling storage and reducing waste. The upgrade bringspod-level isolation,fault tolerance, andbulk Linux onboarding. Azure and GCP are next on the list... read more
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The Quiet Revolution in Kubernetes Security
Nigel Douglas discusses the challenges of security in Kubernetes, particularly with traditional base operating systems. Talos Linux offers a different approach with a secure-by-default, API-driven model specifically for Kubernetes. CISOs play a critical role in guiding organizations through the shif.. read more
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Kubernetes DNS Exploit Enables Git Credential Theft from ArgoCD
A new attack chain messes withKubernetes DNS resolutionandArgoCD’s certificate injectionto swipe GitHub credentials. With the right permissions, a user inside the cluster can reroute GitOps traffic to a fake internal service, sniff auth headers, and quietly walk off with tokens. What’s broken:GitOp.. read more
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Kubernetes VPA: Limitations, Best Practices, and the Future of Pod Rightsizing
Kubernetes'Vertical Pod Autoscaler (VPA)tries to be helpful by tweaking CPU and memory requests on the fly. Problem is, it needs to bounce your pods to do it. And if you're also runningHorizontal Pod Autoscaler (HPA)on the same metrics? Now they're fighting over control. VPA sees a narrow slice of .. read more
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Rethinking Efficiency for Cloud-Native AI Workloads
AI isn’t just burning compute—it's torching old-school FinOps. Reserved Instances? Idle detection? Cute, but not built for GPU bottlenecks and model-heavy pipelines. What’s actually happening:Infra teams are ditching cost-first playbooks for something smarter—business-aligned orchestrationthat chas.. read more
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Dynamic Kubernetes request right sizing with Kubecost
Kubecost’s Amazon EKS add-on now handlesautomated container request right-sizing. That means teams can tweak CPU and memory requests based on actual usage—once or on a recurring schedule. Optimization profiles are customizable, and resizing can be baked into cluster setup using Helm. Yes, that mean.. read more
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.
