horizontal scalability

This is the second article in a series that explores advanced strategies for scaling PostgreSQL databases in Kubernetes with the help of CloudNativePG. This article focuses on horizontal table partitioning and tablespaces and how they can be used to manage large datasets. By partitioning tables based on specific criteria and optimising storage with tablespaces, PostgreSQL users can achieve better scalability and performance in cloud-native environments, just like they could in traditional VMs or bare metal deployments.

Are you worried that PostgreSQL cannot scale writes within a single node, or do you think that scaling PostgreSQL can only be done horizontally, across different Kubernetes nodes? Discover the surprising truth behind PostgreSQL’s vertical scalability in this first article of a two-part series. Explore the potential of optimizing CPU, RAM, and storage resources through meticulous measurement and benchmarking, challenging conventional scaling wisdom. Delve into the solid strategies within the CloudNativePG stack, such as separate volumes for data and transaction logs, temporary tablespaces, and I/O segregation for tables and indexes. Stay tuned for insights into aligning storage solutions with PostgreSQL’s resilience needs in the upcoming sequel.