Good write-up by @darryl-ruggles.cloud going in quite a lot of implementation options and detail, but very good reminder about spec.trafficDistribution for Service #Kubernetes resource and how to keep traffic local. Useful options are: PreferSameZone or PreferSameNode
Stop Treating Checkpoints as Backups: Why Recovery State is Your Best Scheduling Signal Operating multi-tenant GPU clusters under constant quota pressure and preemption requires moving beyond binar...
#machine-learning #gpu #checkpointing #kubernetes #kubeflow
Origin | Interest | Match
Generally Available: Container network metrics filtering for AKS. #kubernetes #Azure #aks #metrics #observability azure.microsoft.com/en-us/updates
On the upcoming Ingress-NGINX retirement: AKS Gateway API support for App Routing is now Public Preview. #kubernetes #gatwayapi #Azure #aks blog.aks.azure.com/2026/03/18/a...
Building a Secure AI Platform for RAG Systems: From DevOps to AI Security Over the past few months, I worked on designing and building an AI platform that combines DevOps, MLOps, and security princ...
#machine-learning #rags #ai-security #devops #kubernetes
Origin | Interest | Match
☸️ Helm Charts in Kubernetes: The 2026 Survival Guide Stop writing YAML. Start building Blueprints. Continue reading on Medium »
#technology #devops #software-development #kubernetes #education
Origin | Interest | Match
Discover 3 effective architecture patterns for running Java & .NET in Docker & Kubernetes. Enhance interoperability and maximize your deployment efficiency. #Java #Kubernetes
White House AI Roadmap Pushes to Block State Rules | Tech Field Day News Rundown: March 25, 2026
👉 youtu.be/uFHeRqLpYKg
@TechFieldDay.com @DemitasseNZ.bsky.social @GuyCurrier.bsky.social #TheFuturumGroup #TFDRundown #AIWorkloads #Cybersecurity #Kubernetes #Kubecon
Running AI in the cloud just got more secure. 🔐
Alastair Cooke explains how RapidFort and Nutanix are creating near-zero vulnerability containers for AI workloads on the Nutanix Kubernetes Platform.
#TFDRundown #Cybersecurity #Kubernetes #AIWorkloads #NutanixKubernetesPlatform
And next, I "I Like to Kube It, Kube It! Move Your AI/ML Workloads with Flux!"
youtu.be/MxT4XepzMPw?...
How #Flux and #Kubernetes are good friends. I over-estimated the time we had, so we barely got into the agentic demo! If we are accepted for a tutorial at #SC26 I promise I will redeem this! 🙏
Dagger CI's approach to decoupling pipeline code from infrastructure aligns well with platform engineering principles. Developers define pipelines once; the platform handles execution context. Worth examining for teams standardizing CI across...
#devops #cloud #kubernetes
💰 Equipos de plataforma eliminan un impuesto oculto de $43,800 en Kubernetes
thenewstack.io/virtual-clusters-kuberne...
#Kubernetes #DevOps #FinOps #Plataforma
How platform teams are eliminating a $43,800 “hidden tax” on Kubernetes infrastructure The ability to provision a Kubernetes cluster on demand, with full API access, custom RBAC, and isolated r...
#Cloud #Native #Ecosystem #Kubernetes #Platform #Engineering
Origin | Interest | Match
How platform teams are eliminating a $43,800 “hidden tax” on Kubernetes infrastructure The ability to provision a Kubernetes cluster on demand, with full API access, custom RBAC, and isolated r...
#Cloud #Native #Ecosystem #Kubernetes #Platform #Engineering
Origin | Interest | Match
The talk was introduced as being specific to #FluxFramework. That actually is not true, and explains my comment in the beginning. We are orienting our thinking to supporting whatever is discovered for hardware, software, network, storage, etc. For workloads that means Flux, #Slurm, #Kubernetes, etc.
🔗 Easily connecting to BEAM nodes in Kubernetes with kubectl-beam
#devops #ElixirLang #ElixirPhoenix #kubernetes #phoenix #reading-list #terminal
🚀 Want faster deployments & zero downtime?
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✔️ CI/CD pipelines
✔️ AWS cloud
✔️ Kubernetes
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#DevOps #AWS #Kubernetes #Automation
The latest update for #ClearML includes "Enforcing #AI Infrastructure Policy With ClearML Vaults" and "Full Autonomy, Full Security: ClearML and SUSE k3k Bring Virtual #Kubernetes Clusters to Enterprise AI".
#MachineLearning https://opsmtrs.com/3m2DY0G
The latest update for #Speedscale includes "7 Best Service Virtualization Tools in 2026" and "The 4 Golden Signals of #Monitoring Explained".
#DevOps #Kubernetes #API #Testing https://opsmtrs.com/3HxmKBc
[Phoronix] AMD Enterprise AI Suite Announced: End-To-End AI Solution For Kubernetes With Instinct
#Kubernetes #OpenSource
The Kubernetes image promoter (kpromo) received a quiet but significant overhaul. Every container image on registry.k8s.io passes through it, handling staging-to-production promotion and signing via Sigstore.
#devops #automation #kubernetes
[Foss Force] Why SUSE Thinks Unified AI Platforms Will Beat DIY Enterprise Builds
#SUSE #FOSS #Kubernetes
#Automation #Azure #CI/CD #Cloud #Computing #Continuous #Integration #DevOps #Kubernetes #Scripting #Terraform
Origin | Interest | Match
Thanks to #Zalando their amazing #postgresoperator thats a breeze, changing a small number in a yaml file and with all the cool #cloudnative tools on #kubernetes its done in a couple of minutes
How to Run Multiple Kubernetes Clusters Without the Overhead Using kcp In Kubernetes, when you need to isolate workloads, you might start by using namespaces. Namespaces provide a simple way to sep...
#Kubernetes #multi-cloud #multitenancy #consumer
Origin | Interest | Match
a lot of my #kubernetes work in the past has been pretty high level. Not a lot of YAML Engineering, but today...today I am feeling the YAML pain.
[Linux Insider] Kubernetes Cost Optimization May Be Doing More Harm Than Good
#Kubernetes #OpenSource
Homernetes is a #Kubernetes cluster for a homelab, built on #Talos, Proxmox, Terraform, and #ArgoCD. It’s GitOps-driven, integrated with cert-manager, Vault, Cilium, Grafana, and other popular tools.
GitHub repo: github.com/okwilkins/h8s
// Source: the #Kubernative Telegram channel
![Doug Whitfield [Minneapolis]](https://cdn.bsky.app/img/avatar/plain/did:plc:trn7ilya4fomeojird75epwb/bafkreiaywmnr7s5ms47e5ktmnnzmhhligcaa3hydmyglhpptq5xdbpvype)
