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Recent additions

Edited when I add something worth mentioning — not a git log.


September 2026


February 2026

Diagrams & tooling

Reader guides

  • Architectural Compass — Problem-oriented paths for embedded systems, data pipelines, microservices, ML, geospatial, and infrastructure.

  • Reading Tracks — Curated sequences: Modern Data Architecture, Distributed Systems & Scale, Embedded Systems, Observability & Operations, Infrastructure Economics, and Spatial Systems.

  • Decision Frameworks — Summaries from nine deep dives: Kubernetes, Microservices, Serverless, Real-Time, Storage, Analytical Systems, Metadata Governance, ML Deployment, GPU Infrastructure, and Spatial Architecture.

  • Anti-Patterns Index — Premature Microservices, Overusing Kubernetes, Real-Time by Default, Data Swamp Formation, Serverless Cargo Cult, and Distributed Systems for Small Teams.

  • Systems engineering principles — Restraint, economics, determinism, governance, and discipline as design lenses.

  • Systems Thinking Glossary — Control plane, data plane, abstraction debt, blast radius, data gravity, and related terms.

New deep dives

  • Why Most Kubernetes Clusters Shouldn't Exist — Orchestration overhead, etcd fragility, networking complexity, organizational maturity requirements, and the portability illusion. (Themes: Infrastructure · Architecture · Economics)

  • The End of the Data Warehouse? — Lakehouse convergence, open table formats, DuckDB compute fragmentation, governance implications, and a tiered decision framework. (Themes: Data Architecture · Economics · Ecosystem)

  • The Economics of GPU Infrastructure — Utilization patterns, interconnect economics, training vs inference cost structures, and a buy-vs-rent decision matrix. (Themes: Infrastructure · Economics · ML Systems)

  • The Myth of Serverless Simplicity — Cold starts, IAM explosion, observability fragmentation, vendor lock-in, and per-invocation economics at scale. (Themes: Infrastructure · Economics · Architecture)

  • Why Most ML Systems Fail in Production — Training/serving mismatch, data drift, feature skew, silent degradation, and when heuristics are the right choice. (Themes: Data Architecture · Organizational · Economics)

  • The Physics of Storage Systems — HDD through NVMe through object storage, IO amplification, throughput vs IOPS, and a storage tier decision framework. (Themes: Storage · Infrastructure · Economics)

  • The Operational Geometry of Spatial Systems — Quadtree vs R-tree vs H3, COG vs GeoParquet, H3 partitioning, routing graph vs raster cost surfaces. (Themes: Spatial · Architecture · Data Formats)

  • The Hidden Cost of Metadata Debt — Catalog drift, control plane collapse, duplicate pipelines, compliance failure, and progressive enforcement. (Themes: Governance · Data Architecture · Economics)

Recursive Cathedral Generator (Kotlin + Processing)

Late 2025

Mid 2025


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