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1938+ articles — Page 33 of 81
Run:ai + Dynamo: Gang Scheduling for
NVIDIA Run:ai v2.23 with Dynamo enables gang scheduling and topology-aware placement for disaggregated prefill/decode inference workloads on GPU clusters.
4 min read
GitOps Maturity Model: Manual to Full Automation (2026)
Assess your GitOps maturity across 5 levels — from manual kubectl to fully automated, policy-driven, multi-cluster GitOps with ArgoCD, Flux, and Crossplane.
3 min read
Kubernetes Security Hardening Checklist for
Production Kubernetes security in 50 checks. Pod security standards, RBAC, network policies, secrets management, image signing, runtime detection, and CIS.
3 min read
Enterprise LLM Deployment: On-Premises
Regulated industries cannot send data to OpenAI. On-premises LLM deployment patterns with vLLM, NVIDIA NIM, air-gapped clusters, and compliance architectures.
4 min read
Kubernetes Multi-Cluster Management:
Most enterprises run 5-50 Kubernetes clusters. Fleet management with Rancher, ArgoCD ApplicationSets, Cluster API, federation patterns, and GitOps at scale.
3 min read
NVIDIA NIM Multinode: Serving 400B+ Models Across GPUs
When a model is too large for one server, you need multinode inference. NVIDIA NIM multinode deployment with DeepSeek-R1, Llama 405B, tensor parallelism.
8 min read
Run:ai Distributed Inference: Large Model Serving Guide
NVIDIA Run:ai orchestrates distributed inference across GPU nodes with topology-aware scheduling, dynamic autoscaling, NIM support, and Dynamo pipelines.
8 min read
Deploy DeepSeek-R1 671B Distributed with Run:ai + NIM
Step-by-step tutorial deploying DeepSeek-R1 671B across 2 nodes with NVIDIA Run:ai. Covers Leader-Worker Sets, NIM profiles, SGLang runtime, and PVC caching.
9 min read
Cloud Migration Strategy: Kubernetes Step-by-Step
Migrating enterprise workloads to Kubernetes is a 12-18 month program, not a weekend project. Migration patterns, team readiness assessment, and the 6R.
3 min read
Enterprise AI Governance Framework: From
AI governance is now a board-level concern. Learn a practical framework covering model risk, data lineage, bias monitoring, and EU AI Act compliance.
3 min read
Enterprise API Gateways on Kubernetes
Choosing an API gateway for Kubernetes is a consequential decision. Feature comparison of Kong, Envoy Gateway, APISIX, and Traefik for enterprise use cases.
3 min read
Disaster Recovery for Kubernetes: Enterprise
Kubernetes disaster recovery beyond Velero backups. Active-active, active-passive, and pilot light patterns with RTO/RPO targets and automated failover.
3 min read
Enterprise Observability on Kubernetes: Full Stack (2026)
Build a production observability stack with Prometheus, Grafana, Loki, Tempo, and AI-powered alerting. Kubernetes-native monitoring for enterprises at scale.
3 min read
MLOps on Kubernetes: Building an Enterprise
End-to-end MLOps pipeline on Kubernetes. Kubeflow, MLflow, feature stores, model registry, CI/CD for ML, automated retraining, A/B testing, and model.
2 min read
Microsoft Copilot 2026: M365, Paid Chat, Anthropic Models
Microsoft Copilot in 2026: paid web chat, M365 integration, Anthropic models, flex routing, agent pinning, and channel readiness — complete enterprise guide.
9 min read
Microsoft 365 Enhanced Data Encryption (EDE) Guide
Microsoft 365 Enhanced Data Encryption adds Customer Key, Double Key Encryption, and tenant-level controls over data-at-rest encryption. Complete.
7 min read
FinOps for AI: Control GPU Costs Without Killing Innovation
GPU costs can bankrupt your AI initiative. Learn FinOps practices: spot instances, autoscaling inference, model quantization, and right-sizing.
4 min read
Kubernetes Gateway API: Ingress Replacement
The Gateway API is replacing Kubernetes Ingress. HTTPRoute, GRPCRoute, TLSRoute explained with production examples, migration steps, and provider comparison.
4 min read
OpenClaw Setup: Your Personal AI Agent in 10 Minutes
OpenClaw is an open-source personal AI agent that runs on your hardware. Complete Docker setup guide covering model providers, memory, tools, and mobile access.
7 min read
Platform Engineering Metrics: How to Measure Success (2026)
Measuring platform engineering success with DORA metrics, developer satisfaction scores, time-to-production, and cost-per-deployment. Practical dashboards.
4 min read
AI Agent Security on Kubernetes
AI agents on Kubernetes need security boundaries. RBAC policies, gVisor sandboxing, network policies, and runtime detection for autonomous AI workloads.
3 min read
Backstage: Build an Internal Developer Portal
Backstage is the CNCF standard for internal developer portals. This guide covers the software catalog, templates, TechDocs, and key plugins.
3 min read
Docker Cheat Sheet: Essential Commands for 2026
Docker cheat sheet with 60+ essential commands. Build, run, network, volume, compose, and troubleshooting commands — organized by workflow for daily use.
2 min read
Docker Container Exit Code 137 (Killed) — Fix Guide
Docker exit code 137 means the container got SIGKILL (128+9), usually from the OOM killer. Check OOMKilled with docker inspect, then raise memory or fix it.
3 min read