architecture-decisions

Kailash framework selection depends on matching project requirements to Core SDK, DataFlow, Nexus, or Kaizen capabilities. Decision matrices evaluate framework features against use cases, providing reference patterns and implementation guidance to finalize an optimal architecture plan.

AsyncLocalRuntime and LocalRuntime differ in execution model for Kailash workflows. Runtime selection guidance evaluates concurrency requirements and task characteristics to determine which runtime optimally handles the project's execution patterns and throughput needs.

Postgres vs SQLite selection for Kailash depends on scale, deployment context, and data management requirements. Database decision patterns evaluate enterprise-scale needs, transaction complexity, and operational constraints to recommend the appropriate database configuration for your architecture.

Kailash architecture decisions support enterprise-scale systems through decision matrices, reference patterns, and practical examples. Framework, runtime, database, and node selection guidance addresses complex requirements across Core SDK, DataFlow, Nexus, and Kaizen for large deployments.

Node selection in Kailash follows decision patterns that match task path requirements to appropriate node types. Guidance evaluates task complexity, data flow needs, and framework alignment to recommend optimal node configurations within your chosen architecture.

Test-tier decisions in Kailash architecture use decision matrices to determine appropriate testing levels across framework components. Guidance aligns test tiers with selected runtime, database, and node configurations to ensure coverage matches enterprise-scale implementation requirements.