architecture-decisions

To choose the right Kailash framework, evaluate whether your project requires Core SDK, DataFlow, Nexus, or Kaizen based on if you are building a data-intensive application or an AI agent system. This decision framework matches your specific project needs to the appropriate architecture.

The best way to select a database for a Kailash project is to compare PostgreSQL and SQLite based on your application's data intensity and scale. Architecture guidance recommends matching the database choice to your specific runtime and performance requirements.

You should choose between sync and async runtimes in Kailash based on your application's concurrency and performance needs. Architecture decisions for runtime selection ensure optimal efficiency by matching the execution model to your workload.

To structure a testing strategy for Kailash applications, implement appropriate test tiers including unit, integration, and E2E tests. Selecting the correct testing strategy ensures robust application development and maintainability across your chosen nodes.

Selecting Kailash nodes for specific tasks involves matching node capabilities to your data processing or AI agent requirements. The architecture guidance recommends the best nodes based on your chosen framework and overall application architecture.

Kailash architecture supports both data-intensive applications and AI agent systems by offering tailored frameworks like DataFlow and Nexus. You can ask for framework recommendations to ensure optimal performance for either project type.