
Measuring How Fast Your IIoT Queries Are Degrading
Stop waiting for the dashboard to get slow. Record latency against row count, fit the curve, and get a date when your query breaches its target.
By John Shi
October 9th, 2026
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Stop waiting for the dashboard to get slow. Record latency against row count, fit the curve, and get a date when your query breaches its target.
By John Shi
October 9th, 2026

Composite indexes charge every insert and pay back only some queries. Four steps to price both sides and audit the indexes you already run.
By John Shi
September 18th, 2026

Meshtastic Metrics Exporter reduced 500K+ Prometheus metric series to one Postgres database: consolidated eight queries into one with Tiger Data for 10,000 mesh radio nodes.
By Andrew Stebbins
September 16th, 2026

PostgreSQL write amplification explained: why indexes multiply WAL volume, how to measure it on your tables, and four ways to reduce it without schema changes.
By John Shi
September 11th, 2026
Built for industrial, energy, and robotics systems. Run high-ingest telemetry and real-time analytics on the Postgres you already know.

Giving an AI agent unrestricted database access isn't safe. Scoped, read-only, database-enforced access can be. See the framework and guardrails.
By Nicole Ghalwash
September 8th, 2026

Tiger Cloud on Azure vs self-hosting TimescaleDB: skip-scan, compression, continuous aggregates, tiered storage, private endpoints, and cross-region backups—fully managed.
By Nicole Ghalwash
September 3rd, 2026

PostgreSQL table bloat: detect it before it kills performance. Measure heap and index density, set autovacuum thresholds, and alert on dead tuple ratios and vacuum lag.
By John Shi
September 2nd, 2026

Why Postgres wins in the AI era: 40 years of reliability, extensibility, and an open ecosystem. Agents need trusted foundations, not fragile architectures.
By Ajay Kulkarni
September 1st, 2026

How Companion.energy optimized real-time energy data: 25x faster queries, 43.5x compression, continuous aggregates, and unified Tiger Cloud architecture.
By Tristan Vermeesch
August 31st, 2026

Time-series cardinality benchmark: one new indexed column costs 29× more than 1M new rows. Solve with metadata tables and avoid the planner estimation cliff.
By Damaso Sanoja
August 28th, 2026