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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.
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PostgreSQL vs Distributed SQL (CockroachDB, YugabyteDB): A Multi-Tenant SaaS ADR (2026)

PostgreSQL vs Distributed SQL (CockroachDB, YugabyteDB): A Multi-Tenant SaaS ADR (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inArchitectureNo Comments
Postgres vs distributed SQL for multi-tenant SaaS: when a single primary with read replicas beats CockroachDB or YugabyteDB, consistency, latency, cost, and a decision record.
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Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inAINo Comments
Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.
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Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inAINo Comments
Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.
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RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inAINo Comments
How to evaluate RAG systems in production: faithfulness, context precision/recall, answer relevancy, RAGAS-style metrics, golden sets, and an evaluation pipeline architecture.
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Industrial World Models: How Physical AI Is Reshaping Factory Autonomy in 2026

Industrial World Models: How Physical AI Is Reshaping Factory Autonomy in 2026

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inTechNo Comments
Industrial world models explained: how learned simulators and physical AI give robots and digital twins predictive foresight, and what it means for factory autonomy in 2026.
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FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inDigital TwinNo Comments
A hands-on FMI 3.0 co-simulation tutorial using FMPy in Python: importing FMUs, master algorithms, clocks and terminals, and orchestrating a multi-FMU digital twin.
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FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inDigital TwinNo Comments
A hands-on FMI 3.0 co-simulation tutorial using FMPy in Python: importing FMUs, master algorithms, clocks and terminals, and orchestrating a multi-FMU digital twin.
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Isaac Sim vs Gazebo vs MuJoCo: Choosing a Robot Simulator in 2026

Isaac Sim vs Gazebo vs MuJoCo: Choosing a Robot Simulator in 2026

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inTechNo Comments
Isaac Sim vs Gazebo vs MuJoCo compared for robotics: physics fidelity, GPU parallelism, photorealistic sensors, ROS 2 integration, sim-to-real, and a decision matrix for 2026.
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Module Type Package (MTP) Reference Architecture for Modular Process Automation (2026)

Module Type Package (MTP) Reference Architecture for Modular Process Automation (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted iniiotNo Comments
A reference architecture for Module Type Package (MTP): the VDI/VDE/NAMUR 2658 model, MTP services, POL orchestration, and how modular automation decouples equipment from the DCS.
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Posts pagination

Previous page 1 … 5 6 7 8 9 … 54 Next page
  • Space Debris Tracking and Conjunction Assessment Architecture (2026)
  • Engineering Change Management Architecture: ECR to ECO in PLM (2026)
  • Collateral and Margin Management Architecture for Derivatives (2026)
  • Post-Quantum Cryptography Migration: A Crypto-Agility ADR (2026)
  • Inkling Explained: Thinking Machines Lab’s 975B Open-Weights MoE (2026)
  • Reasoning-Effort Control in LLM Serving: Thinking Budgets (2026)
  • 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)

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