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Posts by MPRAUTO MPRAUTO

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About MPRAUTO MPRAUTO
MQTT Store-and-Forward at the Edge: Offline Buffering, Broker Bridging and QoS Under Disconnects (2026)

MQTT Store-and-Forward at the Edge: Offline Buffering, Broker Bridging and QoS Under Disconnects (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted iniot4 Comments
MQTT Store-and-Forward at the Edge: Offline Buffering, Broker Bridging and QoS Under Disconnects (2026) Most MQTT deployments are designed on the assumption that the network is up, and then tested…
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The PLC Scan Cycle Explained: IEC 61131-3 Task Scheduling, Determinism and Jitter (2026)

The PLC Scan Cycle Explained: IEC 61131-3 Task Scheduling, Determinism and Jitter (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted iniiot1 Comment
The PLC Scan Cycle Explained: IEC 61131-3 Task Scheduling, Determinism and Jitter (2026) Ask ten controls engineers what a PLC does and nine will say "it runs logic very fast."…
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Authorized Push Payment Fraud: Scam Detection Architecture, Behavioral Signals and Reimbursement Rules (2026)

Authorized Push Payment Fraud: Scam Detection Architecture, Behavioral Signals and Reimbursement Rules (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inTechNo Comments
Authorized Push Payment Fraud: Scam Detection Architecture, Behavioral Signals and Reimbursement Rules (2026) Systems and architecture analysis only. This is not financial, legal or compliance advice; verify regulatory details against…
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ACH and NACHA Architecture: File Processing, Settlement Windows, Returns and Same-Day ACH (2026)

ACH and NACHA Architecture: File Processing, Settlement Windows, Returns and Same-Day ACH (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inTechNo Comments
ACH Payment Architecture: NACHA Files, Settlement Windows, Returns and Same-Day ACH (2026) Systems and architecture analysis only. Nothing here is financial, legal or compliance advice; verify every rule against the…
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W3C Trace Context and Baggage: How Distributed Tracing Context Propagates Across Services and Queues (2026)

W3C Trace Context and Baggage: How Distributed Tracing Context Propagates Across Services and Queues (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inDevelopment2 Comments
W3C Trace Context and Baggage: How Distributed Tracing Context Propagates Across Services and Queues (2026) A distributed trace is only as good as its weakest hop. You can instrument every…
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Envelope Encryption and Key Management: KMS, HSM, Key Rotation and Crypto-Shredding Architecture (2026)

Envelope Encryption and Key Management: KMS, HSM, Key Rotation and Crypto-Shredding Architecture (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inDevelopmentNo Comments
Envelope Encryption and Key Management: KMS, HSM, Key Rotation and Crypto-Shredding Architecture (2026) Most teams believe their data is "encrypted at rest" the moment they tick a box on a…
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PostgreSQL High Availability: Patroni, Streaming Replication, Failover and PITR (2026)

PostgreSQL High Availability: Patroni, Streaming Replication, Failover and PITR (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inDevelopmentNo Comments
PostgreSQL High Availability: Patroni, Streaming Replication, Failover and PITR (2026) PostgreSQL ships with the raw parts of a highly available database and none of the judgment. It will stream write-ahead…
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Kubernetes CPU Throttling: CFS Quota, cgroup v2 and the Limits-vs-Requests Latency Trap (2026)

Kubernetes CPU Throttling: CFS Quota, cgroup v2 and the Limits-vs-Requests Latency Trap (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inKubernetesNo Comments
Kubernetes CPU Throttling: CFS Quota, cgroup v2 and the Limits-vs-Requests Latency Trap (2026) Your dashboard says the pod averages 35 percent of its CPU limit, yet p99 latency has doubled…
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ML Model Monitoring in Production: Data Drift, Concept Drift, PSI and KS Tests (2026)

ML Model Monitoring in Production: Data Drift, Concept Drift, PSI and KS Tests (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inAI1 Comment
ML Model Monitoring in Production: Data Drift, Concept Drift, PSI and KS Tests (2026) A deployed model rarely fails with an exception. It fails by being quietly, confidently wrong. The…
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LLM-as-a-Judge: Evaluation Bias, Calibration and Pairwise Rubrics for Production Evals (2026)

LLM-as-a-Judge: Evaluation Bias, Calibration and Pairwise Rubrics for Production Evals (2026)

Posted by By MPRAUTO MPRAUTO October 19, 2026Posted inAI3 Comments
LLM as a Judge: Evaluation Bias, Calibration and Pairwise Rubrics for Production Evals (2026) Every team that ships a generative feature eventually hits the same wall: the outputs are free-form…
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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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