Minimize blocking operations in request-handling paths to ensure responsive application performance. Implement caching and asynchronous processing for expensive operations to reduce latency and improve throughput. When implementing APIs and services: 1. **Cache external service calls** to avoid repeated expensive operations. For authentication services like LDAP, enable caching to prevent roundtrips on every request: ```properties quarkus.security.ldap.cache.enabled=true ``` 2. **Use asynchronous operations** for tasks that could block requests. For example, configure asynchronous token refreshing instead of having clients wait during the request cycle: ```properties # Configure asynchronous token refresh rather than blocking during requests quarkus.oidc-client.async-refresh=true ``` 3. **Choose efficient API methods** that avoid hidden performance costs. Select methods without unnecessary internal handlers or callbacks: ```java // Less efficient: registers a reply handler internally bus.requestAndForget("greeting", name) // More efficient: direct send without handler overhead bus.send("greeting", name) ``` Remember to consider the trade-offs: caching improves performance but introduces staleness (e.g., LDAP cache has a default max-age of 60s), while asynchronous operations add complexity but maintain responsiveness.