Distributed Postgres on Kubernetes just got a lot more tangible. The collaboration between PgEdge and CloudNativePG aims to simplify distributed Postgres deployments on Kubernetes [1].
What they built Together, PgEdge and CloudNativePG are tackling deployment and day-to-day ops frictions in distributed Postgres on Kubernetes. The partnership centers on making large-scale Postgres clusters easier to run, with benefits like scalability and resilience baked in [1].
Production realities A separate post on building a geospatial database in production spotlights the real-world considerations operators face when running such workloads. That piece uses Horizondb as the geospatial database example, grounding the architectural discussion in production realities [2].
- Scalability and resilience - The partnership’s simplification promise points to smoother scaling and more resilient setups on K8s [1].
- Operational complexity and latency - But production deployments often juggle higher operational complexity and potential latency, a theme echoed by the geospatial production discussion [1][2].
Bottom line: distributed Postgres on Kubernetes is closer to real production than ever, but latency and ops tradeoffs deserve close watching [1][2].
References
PgEdge and CloudNativePG Partnership: Simplifying Distributed Postgres on K8s
PgEdge partners with CloudNativePG to simplify distributed Postgres deployment on Kubernetes for cloud-native, scalable workloads.
View sourceBuilding our geospatial database in production
Discusses building a geospatial database in production, likely covering implementation and deployment considerations
View source