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Databases & messaging · #sqlite
Decide which Reflex state backend— in‑memory, SQLite, or Redis—fits your app’s durability, scalability, and complexity needs. A concise decision guide, comparison table, and hands‑on config example help you pick the right persistence strategy.
Learn how K3s uses SQLite and the Kine shim to replace etcd, reducing memory overhead for edge and single-node Kubernetes deployments.
Add fast, native full‑text search to your SQLite app with FTS5. Learn how to create a virtual table, insert data, query with MATCH, and measure performance.
Decide whether to enable SQLite’s Write‑Ahead Logging (WAL) or keep the default rollback journal. This guide lists constraints, compares key features in a table, explains trade‑offs, and shows a concrete implementation and validation steps.
Replit’s Repl DB uses a lightweight SQLite file per repl to deliver fast, isolated key‑value storage. This guide details requirements, minimal design, trust boundaries, operational checks, failure modes, and when the design might need to change.
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
The same project needs to behave consistently on developer machines, in CI and after deployment. Which versions, dependencies and configuration should be recorded?
An upgrade needs a compatibility check, a tested release and a recovery path. Which changes deserve particular attention before the new version reaches production?
Recovery needs to recreate the working service and its required data after a machine or process is lost. Which artifacts and state need protection, and how should the restore be checked?
redis
k3s
kubernetes
replit