Tradeoffs: Adds proxy layer with latency overhead. Tradeoff: Standardizes cross-cutting concerns (security, monitoring, retries) but introduces additional processing and deployment complexity.

Tradeoffs: Adds latency and must be managed separately. Tradeoff: Isolates legacy system complexity and prevents design corruption but adds service overhead and increases management requirements.

Tradeoffs: Improves client responsiveness and backend decoupling. Tradeoff: Requires reliable message handling, caller must poll/wait for results, and adds overall latency to complete operations.

Tradeoffs: Optimizes per-client experiences and reduces API surface area. Tradeoff: Multiple services increase operational overhead, introduce latency from extra network hops, may cause code duplication, and increase management complexity.

Tradeoffs: Isolates failures and enables independent scaling. Tradeoff: May underutilize resources in isolated partitions, increases complexity in partitioning strategy, and adds overhead per partition.

Tradeoffs: Improves read performance for frequently accessed data. Tradeoff: Application must manage cache expiration and invalidation, complexity in maintaining consistency, cache misses still require database hits, and potential for stale data.

Tradeoffs: Removes central bottleneck and enables independent service updates. Tradeoff: Complex failure handling, difficult to trace execution flow with distributed tracing, harder to manage sequencing, and increased point-to-point communication.

Tradeoffs: Prevents cascading failures and rapid failure detection. Tradeoff: Requires monitoring and threshold configuration, complex exception handling, monitoring overhead, waiting for circuit reset may introduce delays, and needs appropriate timeout tuning.

Tradeoffs: Reduces message size, adds external storage dependency.

Tradeoffs: Ensures eventual consistency in distributed transactions. Tradeoff: Adds complexity to design compensation logic, introduces latency from multi-step processes, compensation itself can fail, and difficulty tracking distributed state.

Tradeoffs: Enables parallel processing, but can introduce contention and complexity.

Tradeoffs: Saves cost but may create performance bottlenecks.

Tradeoffs: Improves scalability but adds operational complexity.

Tradeoffs: Improves isolation and reliability but increases deployment and infrastructure cost.

Tradeoffs: Reduces latency but may complicate management and monitoring.

Tradeoffs: Enables auditability and temporal queries but increases storage and processing complexity.

Tradeoffs: Centralizes configuration management but introduces dependency on external service.

Tradeoffs: Improves security and user experience but adds identity management complexity.

Tradeoffs: Centralizes security checks but can become a bottleneck if misconfigured.

Tradeoffs: Simplifies client integration but adds gateway processing overhead.

Tradeoffs: Reduces backend load but adds gateway dependency.

Tradeoffs: Centralizes routing but may increase latency and dependency on gateway.

Tradeoffs: Improves isolation but adds deployment complexity.

Tradeoffs: Enables observability but adds maintenance overhead.

Tradeoffs: Improves query efficiency but requires additional storage and update logic.

Tradeoffs: Ensures coordinated behavior but adds leader selection complexity.

Tradeoffs: Faster reads but increases storage and maintenance complexity.

Tradeoffs: Enables interoperability but adds latency and complexity.

Tradeoffs: Improves modularity but adds latency due to multiple processing steps.

Tradeoffs: Prioritizes critical tasks but may delay lower-priority messages.

Tradeoffs: Improves scalability but increases operational complexity.

Tradeoffs: Protects system integrity but adds operational overhead.

Tradeoffs: Reduces backend stress but may increase latency for individual requests.

Tradeoffs: Protects resources but may deny legitimate requests during spikes.

Tradeoffs: Improves reliability but can increase load if misconfigured.

Tradeoffs: Ensures consistency but adds operational complexity and latency.

Tradeoffs: Improves reliability but increases orchestration complexity.

Tradeoffs: Prevents deadlocks but reduces throughput.

Tradeoffs: Improves scalability but adds operational and query complexity.

Tradeoffs: Adds modular functionality but increases resource usage.

Tradeoffs: Improves performance but may require additional storage and CDN configuration.

Tradeoffs: Enables gradual migration but adds routing complexity.

Tradeoffs: Protects system resources but may impact client experience.

Tradeoffs: Enables secure direct access but adds key management complexity.