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@faun shared a link, 4 months, 1 week ago
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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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@faun shared a link, 4 months, 1 week ago
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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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@faun shared a link, 4 months, 1 week ago
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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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@faun shared a link, 4 months, 1 week ago
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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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@faun shared a link, 4 months, 1 week ago
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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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Kubernetes Scaling Strategies

Horizontal Pod Autoscaler(HPA) cranks up pods based on CPU, memory, or custom quirks. A dream for stateless adventures, but you'll need a metrics server.Vertical Pod Autoscaler(VPA) fine-tunes CPU and memory for pods. Works like a charm for jobs where scaling out is sketchy, though it demands restar.. read more  

Kubernetes Scaling Strategies
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@laura_garcia shared a post, 4 months, 1 week ago
Software Developer, RELIANOID

🚨 Is Your Business Ready for a Cyber Crisis? 🚨

A cyberattack can strike at any time—causing operational disruption, financial loss, and reputational damage. Preparing for and effectively managing a cyber crisis is no longer optional—it's essential. At RELIANOID, we help businesses build robust cyber resilience through advanced solutions and expe..

Blog Preparing and Managing a Cyber Crisis RELIANOID
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@anjali shared a link, 4 months, 1 week ago
Customer Marketing Manager, Last9

Monitor Nginx with OpenTelemetry Tracing

Instrument NGINX with OpenTelemetry to capture traces, track latency, and connect upstream and downstream services in a single request flow.

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@sprigstack created an organization sprigstack , 4 months, 2 weeks ago.
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@laura_garcia shared a post, 4 months, 2 weeks ago
Software Developer, RELIANOID

🔐 Zero-Trust Micro-Segmentation in Industrial Environments

In today's connected industrial world, the convergence of IT & OT brings efficiency—but also new risks. That’s why Zero-Trust Micro-Segmentation is no longer optional. 📌 It divides your network into isolated zones, applies strict access rules, and assumes no user or device is inherently trusted. ✅ K..

Industrial Zero-Trust Micro-Segmentation
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.