Async Task State Machine Pattern FAQs

Question 1

Does this work for multi-tenant SaaS applications?

Accepted Answer

Yes, it specifically handles tenant-isolated state caching and prevents one tenant's long-running task from being overwritten or accessed by another user.

Question 2

How does this skill prevent memory leaks?

Accepted Answer

It implements specific cleanup strategies like TTL (Time-To-Live) and LRU (Least Recently Used) for the internal maps that store task states, ensuring finished tasks don't consume memory indefinitely.

Question 3

Will my security context be lost in the asynchronous thread?

Accepted Answer

No, the skill provides specific implementation patterns to manually restore TenantContext, SecurityContext, and MDC (logging) inside the executor's child threads.

Question 4

Is this pattern compatible with modern frontend frameworks?

Accepted Answer

Absolutely. It includes best practices for React/Vue polling mechanisms and UI state management to ensure users see real-time progress without creating redundant network requests.

Question 5

When should I use the Async Task Pattern?

Accepted Answer

You should apply this pattern whenever a task is likely to exceed 10 seconds, such as batch imports, cross-tenant aggregations, or sequences of remote API calls, to avoid gateway timeouts.

Async Task State Machine Pattern

주요 기능

사용 사례

REST API Design Patterns

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Bun Runtime Optimizer