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Posts by MPRAUTO MPRAUTO

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  • MPRAUTO MPRAUTO
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About MPRAUTO MPRAUTO
Platform Engineering: Internal Developer Platforms, Golden Paths, Score and Crossplane in Practice (2026)

Platform Engineering: Internal Developer Platforms, Golden Paths, Score and Crossplane in Practice (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopment1 Comment
Platform Engineering: Internal Developer Platforms, Golden Paths, Score and Crossplane in Practice Most organizations that adopt platform engineering do not fail because they picked the wrong tool. They fail because…
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RISC-V for IoT Microcontrollers: ISA Extensions, ESP32-C Series and the Arm Cortex-M Ecosystem Trade-offs (2026)

RISC-V for IoT Microcontrollers: ISA Extensions, ESP32-C Series and the Arm Cortex-M Ecosystem Trade-offs (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted iniotNo Comments
RISC-V Microcontroller Guide for IoT: ISA Extensions, ESP32-C Series and Cortex-M Trade-offs Most engineers who evaluate a RISC-V microcontroller for the first time ask the wrong question. They ask whether…
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Sensor Calibration, Drift Compensation and Measurement Uncertainty (GUM) for Industrial IoT (2026)

Sensor Calibration, Drift Compensation and Measurement Uncertainty (GUM) for Industrial IoT (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted iniotNo Comments
Sensor Calibration, Drift Compensation and Measurement Uncertainty for Industrial IoT A temperature transmitter that reads 120.00 °C is making a claim, and almost nobody on the plant floor can say…
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CDN Architecture: Edge Caching, Anycast, Origin Shield and Cache Invalidation Explained (2026)

CDN Architecture: Edge Caching, Anycast, Origin Shield and Cache Invalidation Explained (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopmentNo Comments
CDN Architecture: Edge Caching, Anycast, Origin Shield and Cache Invalidation Explained (2026) A content delivery network looks like a simple trick: copy files near users. In production it is a…
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Queueing Theory for Capacity Planning: Little’s Law, Utilization and Tail Latency in IoT Platforms (2026)

Queueing Theory for Capacity Planning: Little’s Law, Utilization and Tail Latency in IoT Platforms (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopmentNo Comments
Queueing Theory Capacity Planning: Little's Law, Utilization and Tail Latency for IoT Platforms A fleet of 50,000 sensors reports once every ten seconds. Your ingestion workers are 70 percent busy,…
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FPGA vs GPU vs NPU for Edge Inference: Latency, Power and HLS in Industrial Machine Vision (2026)

FPGA vs GPU vs NPU for Edge Inference: Latency, Power and HLS in Industrial Machine Vision (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted iniotNo Comments
FPGA Edge Inference vs GPU vs NPU: Latency, Power and HLS in Industrial Machine Vision (2026) A bottling line rejecting a cracked cap has perhaps four milliseconds between the camera…
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DPUs and SmartNICs: BlueField vs Pensando vs Intel IPU for Cloud Infrastructure Offload (2026)

DPUs and SmartNICs: BlueField vs Pensando vs Intel IPU for Cloud Infrastructure Offload (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopmentNo Comments
DPU SmartNIC Offload: BlueField vs Pensando vs Intel IPU for Cloud Infrastructure (2026) A modern cloud server spends a startling share of its CPU on work that earns no revenue.…
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CXL Memory Expansion, Pooling and Tiering: Type 3 Devices, Linux NUMA and Workload Fit (2026)

CXL Memory Expansion, Pooling and Tiering: Type 3 Devices, Linux NUMA and Workload Fit (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopmentNo Comments
CXL Memory Expansion, Pooling and Tiering: Type 3 Devices, Linux NUMA and Workload Fit (2026) Your servers run out of memory long before they run out of cores, yet adding…
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RDMA for AI Clusters: RoCE v2 vs InfiniBand vs Ultra Ethernet, PFC, ECN and Congestion Control (2026)

RDMA for AI Clusters: RoCE v2 vs InfiniBand vs Ultra Ethernet, PFC, ECN and Congestion Control (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inDevelopment1 Comment
RDMA RoCE InfiniBand for AI Clusters: PFC, ECN, DCQCN and Ultra Ethernet A training job on a thousand GPUs is a synchronized program. Every few hundred milliseconds all ranks stop…
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Neural Network Pruning for LLMs and Edge Models: Unstructured vs Structured vs 2:4 Sparsity (2026)

Neural Network Pruning for LLMs and Edge Models: Unstructured vs Structured vs 2:4 Sparsity (2026)

Posted by By MPRAUTO MPRAUTO October 24, 2026Posted inAINo Comments
Neural Network Pruning for LLMs and Edge Models: Unstructured vs Structured vs 2:4 Sparsity Here is the uncomfortable fact about neural network pruning: you can often delete 50 to 90…
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Posts pagination

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  • OpenTelemetry GenAI Semantic Conventions: Tracing LLM Calls, Agents, Tokens and Cost (2026)
  • ROS 2 QoS Profiles and DDS Tuning: Reliability, Durability, Deadline and Lifespan over Lossy Wi-Fi (2026)
  • Apache Arrow Flight SQL for High-Throughput Telemetry: Columnar Zero-Copy vs gRPC vs MQTT (2026)
  • ChirpStack LoRaWAN Network Server Architecture: Gateway Bridge, ADR, Multicast and FUOTA (Self-Hosted, 2026)
  • CBOR vs Protobuf vs MessagePack vs FlatBuffers: Encoding IoT Payloads on Constrained Devices (nanopb, CDDL, COSE) (2026)
  • Kubernetes In-Place Pod Resize: Vertical Scaling Without Restarts, VPA, cgroups and QoS (2026)
  • Model Cards, Datasheets and ML-BOM (CycloneDX): AI Supply-Chain Provenance and EU AI Act Documentation (2026)
  • RAG Retrieval Evaluation: Recall@k, nDCG, MRR, Golden Sets and RAGAS in a CI Pipeline (2026)
  • 800V DC Power for AI Data Centers: Solid-State Transformers, Rack Architecture and Efficiency Math (2026)
  • Vehicle Signal Specification (VSS) and Eclipse Kuksa: Software-Defined Vehicle Data Layer Architecture (2026)
  • Rust Embedded for IoT Firmware: Embassy Async vs Zephyr vs FreeRTOS on Cortex-M (2026)
  • WebGPU In-Browser LLM Inference: WebLLM, WGSL Kernels, VRAM Limits and When It Beats WASM (2026)
  • LLM Gateways Compared: LiteLLM vs Portkey vs Kong AI Gateway vs Cloudflare AI Gateway (2026)
  • Managed Kubernetes in 2026: EKS vs GKE vs AKS on Networking, Upgrades, Autoscaling and Cost
  • Co-Simulation Master Algorithms: Jacobi vs Gauss-Seidel, SSP and Algebraic Loops for Digital Twins (2026)
  • SROS2: ROS 2 Security with DDS-Security, Enclaves, Certificates and Access Control Policies (2026)
  • SLH-DSA vs ML-DSA vs FN-DSA: Post-Quantum Firmware Signing and Secure Boot for IoT (2026)
  • A/B Testing for ML Systems: CUPED, Sequential Testing, Interleaving and Contextual Bandits (2026)
  • Vitess vs Citus vs CockroachDB: Horizontal Sharding Architecture for MySQL and PostgreSQL (2026)
  • Distributed Locks, Leases and Fencing Tokens: Redlock Critique and etcd/ZooKeeper Correctness (2026)
  • Confidential VMs: Intel TDX vs AMD SEV-SNP vs Arm CCA and Remote Attestation Architecture (2026)
  • GPU Sharing on Kubernetes: NVIDIA MIG vs MPS vs Time-Slicing vs vGPU for Multi-Tenant Inference (2026)
  • LLM Prefix Caching: RadixAttention vs vLLM Automatic Prefix Caching and KV Cache Reuse (2026)
  • Requirements Management in PLM: ReqIF, DOORS vs Jama vs Polarion and End-to-End Traceability (2026)
  • Large-Scale Digital Twin Visualization: 3D Tiles, Cesium, Point Cloud Streaming and LOD Architecture (2026)
  • TSN Time-Aware Shaper (IEEE 802.1Qbv): Gate Control List Scheduling for Deterministic Industrial Ethernet (2026)
  • ISA-88 Batch Control: Recipe Management, the Physical and Procedural Models, and MES/Digital Twin Integration (2026)
  • Kubernetes Default-Deny Network Policy: Microsegmentation Rollout with Cilium vs Calico (2026)
  • Spot and Preemptible Instance Architecture: Interruption-Tolerant Kubernetes, GPU Training and Checkpointing (2026)
  • Multi-LoRA Serving Architecture: Serving Hundreds of Fine-Tuned Adapters on One GPU with vLLM and S-LoRA (2026)
  • Offline Batch LLM Inference Architecture: Provider Batch APIs vs Self-Hosted vLLM on Cost and Throughput (2026)
  • Semantic Layer for LLM Analytics: MetricFlow vs Cube, Governed Metrics and Text-to-SQL That Does Not Lie (2026)
  • Marketplace Payments Architecture: Split Payments, Payouts, Escrow and KYB for Connected Accounts (2026)
  • Portfolio Optimization Engine: Mean-Variance, Black-Litterman, Risk Parity and Covariance Shrinkage (2026)
  • Yield Curve Construction Engine: Bootstrapping OIS/SOFR Curves, Interpolation and Real-Time Risk (2026)
  • Genesis vs MuJoCo Playground vs Isaac Lab: GPU Robot Simulation for Sim-to-Real (2026)
  • NERC CIP and IEC 62443 Mapping: OT Security Compliance for Electric Utilities (2026)
  • IFC 4.3 and openBIM for Digital Twins: Connecting BIM Models to Live IoT Data (2026)
  • Koopman Operator and SINDy for Digital Twins: Data-Driven System Identification (2026)

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