PostgreSQL sits at the center of modern stacks, and the chatter today centers on running it on Kubernetes with CloudNativePG, Helm, and PgEdge. This vendor-neutral, CNCF Sandbox–approved approach keeps 100% open-source PostgreSQL while easing operator-driven deployment [1]. It's a signal that Postgres remains the default bet for cloud-native teams.
On the deployment side, the Show HN post demonstrates a CloudNativePG-powered deployment via PgEdge and Helm charts, aiming for distributed PostgreSQL that stays approachable on Kubernetes [1]. The emphasis is openness and feedback on the developer experience, with a focus on toolchains that feel vendor- and cloud-neutral.
Two threads show PostgreSQL expanding its toolkit:
- pg_incremental by CrunchyData — Incremental Data Processing in PostgreSQL [2]
- Clarvo.ai — Optimizing Filtered Vector Queries in PostgreSQL [3]
And the Postgres Is Enough ethos argues PostgreSQL can handle broad workloads without extra DBs [4].
Closing thought: the story going forward is PostgreSQL maturing as Kubernetes tooling, incremental processing, and vector-aware queries converge around the core database.
References
Show HN: Deploy Distributed PostgreSQL on K8s with CloudNativePG, Helm, + PgEdge
Show HN announces vendor-neutral PostgreSQL deployment on Kubernetes using CloudNativePG, Helm, and PgEdge, seeking feedback on deployment experience.
View sourceIncremental Data Processing in PostgreSQL
Discusses incremental data processing approach in PostgreSQL; references CrunchyData pg_incremental project; explores performance, streaming, and data updates.
View sourceOptimizing Filtered Vector Queries in PostgreSQL from Seconds to Milliseconds
Discusses PostgreSQL filtered vector queries performance, achieving millisecond speeds via indexing, query pruning, and architecture adjustments for vectors and storage
View sourcePostgres Is Enough
Argues PostgreSQL suffices for many projects; linked gist provides reasons and examples
View source