IoT in the Automotive Industry: A 2026 Architecture View
IoT in the automotive industry in 2026: connected-car architecture, telematics, the software-defined vehicle, V2X, edge AI, and a reference data flow.
Kubernetes Network Policy Egress: RDS & External Services
Kubernetes network policy egress in 2026: lock down pod egress to RDS and external services with NetworkPolicy, CNI gotchas, CIDR rules, and a working example.
Healthcare Technology for Better Patient Outcomes: 2026 Update
Healthcare technology for better patient outcomes, updated for 2026: remote monitoring, FHIR interoperability, ambient AI documentation, and digital health ROI.
Digital Twin in Finance: Architecture & Use Cases (2026)
Digital twin in finance in 2026: what a financial digital twin really models, reference architecture, risk and liquidity simulation, and honest limits.
Azure Cosmos DB Consistency Levels: A 2026 Deep Dive
Azure Cosmos DB consistency levels in 2026: strong, bounded staleness, session, consistent prefix, eventual — latency, RU cost, and how to choose.
AI Data Centers and the Power Crunch: A 2026 Analysis
AI data center power demand analyzed for 2026: grid constraints, nuclear and gas deals, efficiency limits, and what the energy crunch means for AI compute.
Implementation Shortfall Execution Algorithm: Architecture
A 2026 system-design walkthrough of an implementation shortfall execution algorithm: the Almgren-Chriss frontier, scheduling, the slicer, and TCA feedback.
Dapr: A Distributed Application Runtime Tutorial (2026)
A 2026 Dapr tutorial: the distributed application runtime explained — building blocks, the sidecar model, state and pub/sub, with working config and deployment.
WebAssembly vs Containers for Edge Functions: An ADR
An architecture decision record comparing WebAssembly and containers for edge functions in 2026: cold starts, isolation, WASI maturity, and when to pick each.
MiniMax M3: An Open-Weight LLM Benchmark Analysis (2026)
A 2026 benchmark analysis of MiniMax M3: open-weight coding, 1M-token context, and multimodality — methodology caveats, results, and how to read the numbers.