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Architecture note on K3s embedded SQLite for single-node clusters: requirements, minimal design, trust boundaries, operational checks, failure modes, and migration triggers with qualified statements and uncertainty markers.
Evaluating a partitioned database with q=1 on a single node to reduce infrastructure costs for a low-traffic workload under 10 million documents. The goal is to eliminate cluster coordination overhead while maintaining query performance through partition-aligned access patterns. Constraints include the irreversible nature of partitioned database creation, lo
I'm consolidating a low-traffic internal workload onto a single small VM and evaluating k3s's single-server, SQLite-backed mode to cut baseline compute cost compared to a multi-node upstream Kubernetes cluster. The single-binary footprint and embedded datastore are documented to lower idle memory, which fits this workload's traffic profile. The documented --
k3s
kubernetes
couchdb