Ideas Weave Every Narrative with AI.
The industry sold us on polyglot persistence—the idea of using the ‘best tool for the job’ for every workload. In reality, it’s an operational nightmare. By standardizing on PostgreSQL for everything from relational data to JSON documents and vector search, you trade marginal performance gains for massive cognitive and operational simplification. Stop chasing shiny tools and reclaim your engineering velocity.
When your Postgres database balloons, the dreaded data warehouse migration project begins. But what if you could run standard UPDATE and DELETE commands on cold Iceberg storage without ever leaving your Postgres client? Tools like ColdFront are killing the data warehouse middleman, proving the real revolution isn’t making cold storage cheap—it’s making it mutable.
CatQueue removes Redis from your Node.js job queue, betting that PostgreSQL’s reliability is enough for most real-world workloads. This article challenges the default assumption that you need a dedicated high-performance store, and shows how simplifying your stack can reduce operational debt without sacrificing performance—until you truly need to scale.
MVCC and vacuuming are the headaches every PostgreSQL user knows. But the alternatives are worse. This article explains why the trade-offs are inevitable, and why the ‘bad’ concurrency model you’re stuck with is actually the best option available.
Static diagrams have been the standard for teaching database internals, but they fail to convey the dynamic, living nature of systems like PostgreSQL’s scheduler. PGSimCity changes that by turning abstract processes into an interactive visual simulation. This article argues that such tools represent a new paradigm for technical education—one where experience replaces explanation, and intuition is built through observation.
One developer is rewriting PostgreSQL from scratch in Rust. It’s not about replacing the database — it’s about proving that 30 years of C-based assumptions aren’t gospel. This is the audacious move that exposes the fragility of our infrastructure and forces the industry to ask: what else are we accepting because it’s ‘too big to change’?
You’ve been told Postgres LISTEN/NOTIFY doesn’t scale and that you need Kafka for real workloads. The data proves otherwise: it handles 60K+ notifications per second. The bottleneck isn’t the database—it’s developers misusing it as a message bus. Send an ID, not a payload, and watch it thrive.
Most engineers obsess over whether their Postgres backups succeed — but the real danger is recovery time. Underneath every green checkmark is a fragile system of WAL logs, checkpoints, and atomic operations that determine whether you can actually restore. If you don’t understand that machinery, your backup isn’t a safety net. It’s a lie you tell yourself to sleep at night.
Forget managed services and Kubernetes. The future of database tooling for side projects is a single Docker container. NeonD proves that radical reduction—not feature addition—is the innovation developers actually need. Stop over-engineering. Start building.
PostgreSQL’s atomicity feels like gravity — invisible, reliable, just there. But beneath every COMMIT lies a conspiracy between write-ahead logging, MVCC, and crash recovery that costs you real I/O, real latency, and real storage. Most developers never see the bill. Here’s what you’re actually paying for.