Skip to content
IoT Digital Twin PLM
  • Home
  • About
  • Blog
  • Consult
  • Contact
  • Cookie Policy
  • Disclaimer
  • Privacy Policy
  • Terms of Service

Kubernetes

  • Home
  • Blog
  • Kubernetes
Kubernetes GPU Sharing: MIG, Time-Slicing, and MPS (2026)

Kubernetes GPU Sharing: MIG, Time-Slicing, and MPS (2026)

Posted by By MPRAUTO MPRAUTO July 18, 2026Posted inKubernetesNo Comments
Kubernetes GPU sharing explained: MIG partitioning, time-slicing, and MPS trade-offs, the device plugin and DRA model, and how to raise GPU utilization without hurting isolation in 2026.
Read More
Kubernetes Policy as Code: Kyverno vs OPA Gatekeeper (2026)

Kubernetes Policy as Code: Kyverno vs OPA Gatekeeper (2026)

Posted by By MPRAUTO MPRAUTO July 16, 2026Posted inKubernetesNo Comments
Kyverno vs OPA Gatekeeper for Kubernetes policy as code: admission control, language model, mutation, image verification, and how to choose in 2026 - with a decision matrix.
Read More
OpenTelemetry Logs: Unified Telemetry Pipeline Architecture (2026)

OpenTelemetry Logs: Unified Telemetry Pipeline Architecture (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inKubernetesNo Comments
OpenTelemetry logs and a unified telemetry pipeline: the Collector, log-trace correlation, OTTL processing, tail sampling, and cost control patterns for 2026.
Read More
Kubernetes In-Place Pod Resize: Rightsizing Without Restarts (2026)

Kubernetes In-Place Pod Resize: Rightsizing Without Restarts (2026)

Posted by By MPRAUTO MPRAUTO July 10, 2026Posted inKubernetesNo Comments
Kubernetes in-place pod resize (v1.33 GA) changes CPU/memory without restarts. How it works, VPA integration, resize policies, cost impact, and production gotchas.
Read More
Kubernetes Multi-Cluster Management with Cluster API: A 2026 Reference Architecture

Kubernetes Multi-Cluster Management with Cluster API: A 2026 Reference Architecture

Posted by By MPRAUTO MPRAUTO July 10, 2026Posted inKubernetesNo Comments
A Kubernetes multi-cluster management reference architecture: Cluster API, hub-spoke fleets, GitOps rollout, cross-cluster networking, and fleet-wide policy at scale.
Read More
Dapr for Distributed Microservices: A 2026 Tool Deep-Dive and Tutorial

Dapr for Distributed Microservices: A 2026 Tool Deep-Dive and Tutorial

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inKubernetesNo Comments
A Dapr deep-dive for 2026: building blocks, the sidecar model, service invocation, state, pub/sub, workflows, and how Dapr abstracts infrastructure on Kubernetes.
Read More
Kubernetes Multi-Tenancy Architecture: Namespaces, vCluster, and Hard Isolation

Kubernetes Multi-Tenancy Architecture: Namespaces, vCluster, and Hard Isolation

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inKubernetesNo Comments
A 2026 Kubernetes multi-tenancy decision record: soft vs hard isolation, namespaces, hierarchical namespaces, vCluster, Capsule, and Kata - choosing the right tenancy model for your platform.
Read More
NVIDIA Jetson + K3s: Edge AI Cluster Tutorial (2026)

NVIDIA Jetson + K3s: Edge AI Cluster Tutorial (2026)

Posted by By mprcba June 28, 2026Posted inKubernetesNo Comments
A hands-on NVIDIA Jetson and K3s edge AI cluster tutorial: provision nodes, enable GPU scheduling, deploy a vision model, and run inference at the edge.
Read More
Confidential Containers on Kubernetes: A 2026 Guide

Confidential Containers on Kubernetes: A 2026 Guide

Posted by By MPRAUTO MPRAUTO June 28, 2026Posted inKubernetesNo Comments
Confidential containers on Kubernetes explained: TEEs, AMD SEV-SNP and Intel TDX, remote attestation, the CoCo project, and running sensitive workloads safely.
Read More
Kubernetes Cost Optimization and GPU Rightsizing (2026)

Kubernetes Cost Optimization and GPU Rightsizing (2026)

Posted by By MPRAUTO MPRAUTO June 24, 2026Posted inKubernetesNo Comments
A deep dive into Kubernetes cost optimization in 2026: bin-packing, fractional GPUs, Karpenter, requests/limits tuning, and FinOps guardrails.
Read More

Posts pagination

1 2 3 4 Next page
  • PackML and the ISA-TR88 Machine State Model Architecture (2026)
  • Scientific Foundation Models for Chemistry, Materials, and Biology (2026)
  • Real-Time Treasury and Intraday Liquidity Architecture (2026)
  • Kubernetes GPU Sharing: MIG, Time-Slicing, and MPS (2026)
  • Prefill/Decode Disaggregation for LLM Serving: Architecture (2026)
  • Kimi K3 Explained: Architecture, Benchmarks, and Deployment (2026)
  • Kubernetes Policy as Code: Kyverno vs OPA Gatekeeper (2026)
  • LwM2M IoT Device Management Architecture (2026)
  • Laboratory Automation Orchestration: SiLA 2 and Lab-as-Code (2026)
  • Payment Orchestration Platform Architecture (2026)
  • Continuous Batching for LLM Inference: Architecture and Throughput (2026)
  • GLM-5.2 Explained: Architecture, Benchmarks, and Deployment (2026)
  • IoT Device Identity and Attestation Architecture (2026)
  • ML Interatomic Potentials: Simulation-in-the-Loop Discovery (2026)
  • Agentic Payments Architecture: How AI Agents Pay Safely (2026)
  • OpenTelemetry Logs: Unified Telemetry Pipeline Architecture (2026)
  • LLM Model Routing Architecture: Cost and Quality at Scale (2026)
  • Grok 4.20 Explained: Architecture, Benchmarks, and Deployment (2026)
  • AI for Science Landscape 2026: Periodic Labs, Lila Sciences, and the Self-Driving-Lab Race
  • The Autonomous Materials-Discovery Pipeline: Closed-Loop Synthesis and Characterization (2026)
  • The AI Scientist Architecture: LLM Planners That Generate Hypotheses and Dispatch Experiments (2026)
  • Bayesian Optimization for Autonomous Experiments: The Planner Inside a Self-Driving Lab (2026)
  • The Experimental-Data Moat: Why AI Labs Are Building Robots to Make Their Own Data (2026)
  • Self-Driving Lab Architecture: The Closed Loop That Runs Experiments (2026)
  • Kimi K2 Explained: Architecture, Training, and Benchmarks (2026)
  • LLM Semantic Caching Architecture: Cut Inference Cost and Latency (2026)
  • TwinOps: The Operational Lifecycle Architecture for Digital Twins (2026)
  • Card Tokenization and the PCI DSS Vault: A Payment Security Architecture (2026)
  • Kubernetes In-Place Pod Resize: Rightsizing Without Restarts (2026)
  • Small Language Models on Device: Edge Inference Architecture (2026)
  • Google Gemini 3.5 Pro Explained: Architecture, Benchmarks, and 2M Context (2026)
  • Airflow vs Dagster vs Prefect: Data Orchestration Compared (2026)
  • Ledger Database Architecture: Double-Entry Accounting at Scale (2026)
  • Kubernetes Multi-Cluster Management with Cluster API: A 2026 Reference Architecture
  • MCP Server Security Architecture: Defending Model Context Protocol Tools (2026)
  • Secure OTA Firmware Update Architecture for IoT Devices (2026)
  • Connectomics in 2026: Mapping the Brain Wire by Wire with AI
  • Google Gemini 3.5 Flash Explained: Architecture, Benchmarks, and Deployment (2026)
  • How Radar Actually Works: Pulses, Doppler, and Phased Arrays

Leave a Comment and share if you find it helpful Reading the Article in IoT Digital Twin PLM Site

Home

Tag Cloud

ADR Agentic AI AI Agents ai for science AI Models architecture automation benchmark Biotech Cilium Data Engineering devops digital twin eBPF Edge AI edge computing Fact Check fintech GitOps humanoid robots iiot industrial ai Industrial IoT industrial protocols Industry 4.0 industry analysis inference iot IoT Protocols Kubernetes LLM manufacturing MQTT NVIDIA Observability OPC UA Physical AI physics PLM RAG Robotics ROS2 semiconductors Trading Systems tutorial

Categories

  • AI 104
  • Architecture 15
  • Autonomous Science 3
  • aws 2
  • Azure 5
  • Business 7
  • Development 24
  • Digital Transformation 1
  • Digital Twin 38
  • Health 4
  • iiot 91
  • iot 16
  • Kubernetes 33
  • Network 5
  • Newsbeat 4
  • PLM 9
  • Science 49
  • Security 7
  • Tech 116
  • Uncategorized 2
Copyright 2026 — IoT Digital Twin PLM. All rights reserved. Sinatra WordPress Theme
Scroll to Top