Michael R.

Demand for managed Kubernetes on GPU infrastructure is surging. 40% of GPU cloud customers want a turnkey, Kubernetes-native service. vCluster and vNode provide the architecture to launch your managed Kubernetes offering in weeks, not months. Virtual control planes give each customer their own isolated API server, etcd, and RBAC on shared infrastructure. No separate physical clusters to manage. Three deployment models for different service tiers: - Shared Nodes: Soft isolation for high-density serverless GPU workloads - Dedicated Nodes: Hard isolation with dedicated GPU pools per tenant - Private Nodes: True node-level isolation for enterprise customers No VMs. No hypervisor overhead. Just bare metal GPU performance with the tenant isolation and security your customers require. Launch faster. Support multiple service tiers. Maximize revenue per GPU. Stand apart from hyperscalers with infrastructure purpose-built for AI/ML workloads. Schedule a call to discuss how vCluster + vNode can power your managed Kubernetes offering: https://lnkd.in/egKS4pcX (Full technical architecture in the comments)

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I built a self-healing AWS infrastructure using Terraform to automatically recover from failures and optimize reliability. This article walks through the architecture, key Terraform components, and lessons learned while designing for resilience and cost efficiency. Read the full breakdown below. #SelfHealing #HighAvailability #AWS #Terraform #DevOps #InfrastructureAsCode #Peabsmart Consulting https://lnkd.in/dceyYzWS

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Infrastructure challenges only get harder after deployment. That's where Terraform actions bring real value. By standardizing more of your Day 2 workflows within the Terraform pipeline, you can confidently manage infrastructure over time without the manual overhead. A perfect example? Pairing Ansible with Terraform actions for seamless, automated infrastructure and configuration management. Ready to transform how you operate? https://bit.ly/3WKwCk6

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Master Kubernetes with LearnKube's Advanced Kubernetes workshop! What should you expect? - Learn how to architect and design clusters from the ground up (in the cloud or on-prem). - Explore the Kubernetes internal component and how the system is designed with resiliency in mind. - Deep-dive into the networking components and observe the packets flowing into the cluster. - Hands-on labs to test the theory with real-world scenarios! - And more. The next course starts in September: https://lnkd.in/ge4aYVZq We also run in-person courses and private training: https://lnkd.in/g9N3m-Xr

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🚀 Scaling Terraform? You Need Terragrunt. As Terraform projects grow, code duplication, state management, and environment sprawl become real challenges. That’s where Terragrunt comes in. In this video, I explain: ✅ How Terragrunt enforces the DRY principle ✅ Centralized provider & backend configuration ✅ Separate state files to reduce blast radius ✅ Managing dependencies (VPC → EC2) cleanly ✅ Running infrastructure changes across environments at scale If you’re working on production-grade cloud infrastructure, this is a must-watch. 🎥 Watch the full video here: 👉 https://lnkd.in/gzpEVYyx #Terraform #Terragrunt #DevOps #InfrastructureAsCode #AWS #CloudEngineering

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You don’t need more tools. You need a source of truth. Most Kubernetes setups look like this: - Terraform for infra - Helm for apps - Bash scripts to glue it together - Dashboards to figure out when it breaks And somehow… it still drifts. It still surprises you. It still doesn’t behave the way you expect. At Syself, we took a different approach: We don’t configure clusters. We declare them. Every cluster — from OS to kubelet to storage to autoscaling — is defined as code. That’s not just YAML. It’s a declarative, versioned, Git-trackable definition of: - What infrastructure should exist - How it should behave under failure - How it should scale, update, and recover - What “healthy” actually means No scripts. No manual steps. No guessing. When something changes? You change the declaration — not the system. And because it’s built on Kubernetes-native APIs, you manage your clusters like you manage your apps: Declaratively. Predictably. At scale. It’s not just infrastructure-as-code. It’s infrastructure-as-software. And once you experience it, you won’t go back. Curious how that looks in action? syself.com/hetzner

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Kubernetes makes multi-tenancy easy—but chargeback? Not so much. Our K8s Guide, "Kubernetes Chargeback," explains how to build a cost allocation and reporting model for Kubernetes that engineering and finance can trust. If you're scaling Kubernetes across teams or business units, this is your playbook for turning shared infrastructure into shared accountability. 📘 Read the guide: https://lnkd.in/ea3nTuE3 #Kubernetes #DevOps #CloudNative #Kubecost

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