Solutions and Patterns
Choose the operational problem you need to solve. Each guide starts with the application and deployment shape.
- Stop operating a separate Redis cache
- Keep application state local
- Share selected state across workloads
- Scale across Kubernetes nodes
- Scale across clusters and regions
- Survive pod replacement
- Queues, streams, and exactly-once patterns
- Notify workloads with pub/sub
- Sessions, counters, and rate limits
- Disconnected operation
For deployment cost examples, see Economics of Swytch.