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KubeCon North America 2026 Recap: AI Inference, Agentic Workloads and What Actually Shipped for Platform Teams

KubeCon North America 2026 Recap: AI Inference, Agentic Workloads and What Actually Shipped for Platform Teams

Posted by By MPRAUTO MPRAUTO November 13, 2026Posted inDevelopmentNo Comments
KubeCon North America 2026 Recap: AI Inference, Agentic Workloads and What Actually Shipped Every KubeCon produces a wall of press releases, and most platform teams cannot tell which items they…
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  • Collaborative Robot Safety Explained: ISO 10218, ISO/TS 15066, Power and Force Limiting and Speed and Separation Monitoring (2026)
  • ISO 26262 vs SOTIF (ISO 21448) vs ISO/SAE 21434: Functional Safety, Intended Functionality and Cybersecurity Compared (2026)
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  • Blue-Green vs Canary vs Rolling vs Shadow Deployments: Deployment Strategies Compared for Kubernetes and Beyond (2026)
  • Warehouse Digital Twin Architecture: Discrete-Event Simulation, WMS Integration, Slotting and Throughput What-Ifs (2026)
  • How to Add Verifiable Citations to RAG Answers: Attribution, Span-Level Grounding and Citation Evals (2026)
  • Speaker Diarization Architecture: Who Spoke When with pyannote, End-to-End Neural Diarization and Streaming Pipelines (2026)
  • KubeCon North America 2026 Recap: AI Inference, Agentic Workloads and What Actually Shipped for Platform Teams
  • The WebAssembly Component Model on the Server: Wasm vs Containers (2026)
  • Agent Benchmarks in 2026: SWE-bench Verified, GAIA, and tau-bench
  • Ethernet-APL Reference Architecture: Two-Wire Ethernet for Process Automation (2026)
  • Semantic Caching for LLM Applications: Architecture (2026)
  • LoRaWAN vs NB-IoT vs LTE-M: Industrial IoT (2026)
  • Maintenance Digital Twin: Integrating CMMS Work Orders, ISO 14224 Asset Hierarchies and Condition Data (2026)
  • How to Apply the Purdue Model in 2026: OT Network Segmentation, Industrial DMZ Design and Where Zero Trust Fits
  • Part Classification and Design Reuse in PLM: Classification Schemas, ECLASS, Geometric Similarity Search and Duplicate Part Prevention (2026)
  • ISO 50001 Energy Management with IIoT: EnPIs, Energy Baselines and Sub-Metering Architecture (2026)
  • Device Shadow vs Device Twin: AWS IoT Device Shadow, Azure IoT Hub Device Twins and Eclipse Ditto Compared (2026)
  • Cellular IoT Power Saving Explained: PSM, eDRX and RAI on LTE-M and NB-IoT for Multi-Year Battery Life (2026)
  • LLM Observability and LLMOps: Tracing, Evals, Drift
  • Multi-Currency Ledger Architecture: FX Conversion, Revaluation, Rounding and Minor Units in Double-Entry Systems (2026)
  • Data Residency and Sovereign Cloud Architecture: Region Pinning, Customer-Held Keys and Cross-Border Data Flows (2026)
  • Ransomware-Resilient Backup Architecture: Immutable Storage, Object Lock, Logically Air-Gapped Vaults and Recovery Drills (2026)
  • Cloud Disaster Recovery Strategies Compared: Backup and Restore vs Pilot Light vs Warm Standby vs Multi-Site Active-Active (2026)
  • LLM Sycophancy: How to Measure and Mitigate Agreeable-but-Wrong Answers in Production Assistants (2026)
  • Voice AI Agents Architecture: Real-Time Speech-to-Speech Pipelines, Latency Budgets and Turn-Taking (2026)
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  • Historian Data Compression: Deadband, Swinging Door and Exception Reporting for Industrial Time Series (2026)
  • Configuration Management in PLM: Baselines, Effectivity and Product Structure Versioning (2026)
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