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Posts by MPRAUTO MPRAUTO

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About MPRAUTO MPRAUTO
Flink vs Spark Streaming vs Kafka Streams (2026)

Flink vs Spark Streaming vs Kafka Streams (2026)

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopment3 Comments
Flink vs Spark Structured Streaming vs Kafka Streams in 2026: processing model, state, exactly-once, latency, and a decision matrix for your streaming workload.
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Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE

Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inAI1 Comment
A 2026 embedding models benchmark: OpenAI, Cohere, Voyage, and BGE on retrieval quality, dimensions, cost, and MTEB - with what changed for 2026.
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NVIDIA GB300 NVL72: Blackwell Ultra Architecture (2026)

NVIDIA GB300 NVL72: Blackwell Ultra Architecture (2026)

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inAI1 Comment
NVIDIA GB300 NVL72 explained: Blackwell Ultra GPUs, the 72-GPU NVLink rack, memory and power, and how it scales AI training and inference at rack level in 2026.
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Kubernetes CNI Compared: Calico vs Cilium vs Flannel

Kubernetes CNI Compared: Calico vs Cilium vs Flannel

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopmentNo Comments
A 2026 Kubernetes CNI comparison: Calico, Cilium, Flannel, and Multus on dataplane, eBPF, network policy, performance, and a decision matrix for each cluster.
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Apache Iceberg vs Paimon: Lakehouse Table Formats 2026

Apache Iceberg vs Paimon: Lakehouse Table Formats 2026

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopment1 Comment
Apache Iceberg vs Apache Paimon in 2026: streaming upserts, compaction, metadata design, catalog support, and a decision matrix for your lakehouse table format.
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Continuous Profiling with eBPF: Flamegraphs in Prod

Continuous Profiling with eBPF: Flamegraphs in Prod

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopmentNo Comments
A hands-on guide to continuous profiling with eBPF: how Pyroscope and Parca capture CPU and memory flamegraphs in production with near-zero overhead.
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pgvector vs Dedicated Vector Database: The 2026 ADR

pgvector vs Dedicated Vector Database: The 2026 ADR

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inDevelopment2 Comments
pgvector vs a dedicated vector database in 2026: recall, latency, filtering, scale, operations, and cost - a decision record for choosing your vector store.
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AI Inference Cost Optimization: GPU FinOps in 2026

AI Inference Cost Optimization: GPU FinOps in 2026

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inAI2 Comments
An AI inference cost optimization decision record: continuous batching, KV-cache, quantization, speculative decoding, spot GPUs, and autoscaling the inference path.
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LLM Gateway Architecture: The Control Plane for AI Apps

LLM Gateway Architecture: The Control Plane for AI Apps

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted inAINo Comments
An LLM gateway architecture for production AI: routing, semantic caching, rate limits, budgets, fallbacks, and observability across multiple model providers.
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Physical AI on the Factory Floor: The 2026 Inflection

Physical AI on the Factory Floor: The 2026 Inflection

Posted by By MPRAUTO MPRAUTO June 27, 2026Posted iniiotNo Comments
Why physical AI - foundation models for robots and machines - is reaching the factory floor in 2026: VLA models, humanoids, simulation, and the deployment reality.
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Posts pagination

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  • Retries, Backoff with Jitter, Circuit Breakers and Retry Budgets: Resilience Patterns (2026)
  • SOME/IP and Automotive Ethernet: Service-Oriented Architecture for the Software-Defined Vehicle (2026)
  • DNP3 Protocol Deep Dive: Link, Transport and Application Layers, Secure Authentication and SCADA Utilities (2026)
  • OAuth 2.1, PKCE, OIDC and JWT Validation Pitfalls: A Token Security Guide (2026)
  • Interchange Fees and Least-Cost Routing: Card Payment Cost Architecture (2026)
  • Payment Retries and Dunning: Smart Retry Architecture for Recovering Failed Card Payments (2026)
  • Browser Agents Architecture: DOM, Accessibility Tree vs Vision, and Playwright MCP (2026)
  • Mechanistic Interpretability: Sparse Autoencoders, Features and Circuits in LLMs (2026)
  • Distributed Training Parallelism: Data, Tensor, Pipeline, FSDP/ZeRO and NCCL Collectives (2026)
  • Probabilistic Data Structures: Bloom Filters, HyperLogLog, Count-Min Sketch and Cuckoo Filters (2026)
  • Load Balancing Algorithms: Power of Two Choices, Maglev and L4 vs L7 (2026)
  • MVCC and Transaction Isolation Levels: Snapshot Isolation, Write Skew and SSI (2026)
  • ISA-100.11a vs WirelessHART: Wireless Industrial Networks Compared
  • Iceberg Catalogs: Polaris vs Nessie vs Unity Comparison (2026)
  • IO-Link Wireless: Industrial Sensor Network Architecture
  • Model Context Protocol (MCP) Explained: How It Works (2026)
  • Idempotent API Design: The Complete Engineering Guide
  • Agentic Digital Twins: AI-Driven Twins in 2026
  • OpenPLC v3 + Modbus TCP: Open-Source PLC Architecture
  • LLMs on Jetson Orin Benchmarked (2026): tok/s & VRAM
  • Claude Skills Architecture: Dynamic Capability Injection for LLM Agents
  • PROFIBUS Protocol: The Complete Technical Guide to Process and Factory Fieldbus
  • Database Sharding Strategies: Consistent Hashing, Rendezvous Hashing and Online Resharding (2026)
  • TLS 1.3 for Constrained IoT Devices: Handshake, 0-RTT, mTLS and Performance Costs (2026)
  • Hybrid Logical Clocks vs Vector Clocks: Event Ordering for Distributed IoT and Edge (2026)
  • Card Issuing Architecture: Processors, BIN Sponsors, JIT Funding and Authorization Flow (2026)
  • Core Banking Modernization: Strangler Fig, Event-Driven Cores and Migration Risk (2026)
  • Spot GPU Training: Checkpointing, Preemption Handling and Fault-Tolerant LLM Jobs (2026)
  • RAG Latency Budget: Optimizing Retrieval, Reranking and Streaming for Production (2026)
  • SBOM and VEX: CycloneDX vs SPDX for Software Supply Chain Vulnerability Triage (2026)
  • Kafka Exactly-Once Semantics: Idempotent Producers, Transactions and Their Limits (2026)
  • Raft vs Paxos: Leader Election, Log Replication and Consensus Failure Modes (2026)
  • LSM-Trees and RocksDB: Compaction, Write Amplification and Tuning (2026)
  • Saga Pattern: Orchestration vs Choreography and Compensating Transactions (2026)
  • Neural Operators (FNO, DeepONet) vs PINNs for Engineering Surrogate Models (2026)
  • Digital Twin Maturity Model: Fidelity Levels, ROI and a Practical Framework (2026)
  • Software-Defined Vehicle: AUTOSAR Classic vs Adaptive Architecture (2026)
  • Battery Management System (BMS) Architecture: SoC, SoH Estimation and Digital Twins (2026)
  • Project Haystack vs Brick Schema vs RealEstateCore for Building Digital Twins (2026)

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