A Complete Guide to Stateful Workloads on Kubernetes
The debate is over. The real question is: The debate over whether databases "belong" on Kubernetes is settled. The discussion is now strictly operational: how do you manage stateful workloads at scale without losing data or overpaying for "zombie" resources? Kubernetes is a world-class orchestrator, but it is fundamentally "data-blind." It understands process status, but it is oblivious to database deadlocks or replica divergence. This guide covers production MongoDB on Kubernetes end-to-end — from replica set topology and sharded cluster architecture to operator selection, PITR backups, and compute sizing. MySQL is one of the most mature relational databases in the world. Running it on Kubernetes is no longer a question of Six pillars of running production MySQL on Kubernetes — from topology design to operator selection PostgreSQL is the world's most advanced open-source relational database. Running it on Kubernetes is no longer a question of Six pillars of running production PostgreSQL on Kubernetes — from Patroni HA to operator selectionThe Cloud-Native Data Manual
Engineering Production Databases on Kubernetes
how do you manage stateful workloads without losing data or burning cash?Executive Summary
MongoDB on Kubernetes: Replica Sets, Sharding & Operators Guide
Running MongoDB
on KubernetesReplica Sets, Sharded Clusters & Operator Comparison
MySQL on Kubernetes: Architecture, Topologies & Operators Guide
Running MySQL on Kubernetes
A Complete Architecture Guide
if — it's a question of how.MySQL on Kubernetes: Architecture & Operations
PostgreSQL on Kubernetes: Architecture, Topologies & Operators Guide
Running PostgreSQL on Kubernetes
A Complete Architecture Guide
if — it's a question of how.PostgreSQL on Kubernetes: Architecture & Operations