Practical notes on building reliable software by Arunkumar Ganesan

Time Series Data Architecture: Metrics, Windows, and Fast Questions

How metrics, sensors, prices, and operational measurements are stored, rolled up, searched, and analyzed.

Document Data Architecture: PDFs, Word Files, Extraction, and Search

How PDFs, Word files, forms, invoices, policies, and contracts become searchable and analyzable data.

Video Data Architecture: Transcode, Index, Search, and Analyze

A practical architecture for video files, transcripts, scene metadata, search, moderation, and analytics.

Audio Data Architecture: Transcribe, Fingerprint, Search, and Analyze

How speech, calls, music, and machine sounds become searchable transcripts, fingerprints, and analytics signals.

Image Data Architecture: Store, Extract, Search, and Analyze

How photos, screenshots, scans, and visual evidence move through object storage, metadata extraction, search, and analytics.

Unstructured Text Data Architecture: Search, NLP, and Analytics

How support tickets, chats, reviews, notes, and pages become searchable and analyzable.

Semi Structured Data Architecture: JSON Pipelines That Stay Useful

How JSON, XML, and flexible payloads move into document stores, lakehouses, search, and analytics.

Relational Data Architecture: OLTP, CDC, and Warehouses

A practical architecture for relational data from OLTP systems into search indexes, read models, and analytics stores.

Structured Data Architecture: From Tables to Trusted Analytics

How table shaped data moves through ETL into warehouses, lakehouses, dashboards, and searchable business records.