The Space-Based Architecture Paradigm

When To Use

• High-traffic applications needing elastic scalability
• Systems requiring in-memory data grids

When NOT To Use

• Low-traffic applications where distributed caching is overkill
• Systems with strong consistency requirements over availability

When to Employ This Paradigm

• When traffic or state volume overwhelms a single database node.
• When latency requirements demand in-memory data grids located close to processing units.
• When linear scalability is required, achieved by partitioning workloads across many identical, self-sufficient units.

Adoption Steps

1. Partition Workloads: Divide traffic and data into processing units, each backed by a replicated data cache.