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Design bulk API operations with batch endpoints, partial failure handling, async processing, and progress tracking patterns.

Guides bulk API operation design with batch processing, partial failure semantics, and async job tracking.

Design idempotent API operations with idempotency keys, deduplication stores, and safe retry patterns for reliable integrations.

Guides API idempotency design with key-based deduplication, retry safety, and distributed consistency patterns.

Design API versioning and evolution strategies with backward compatibility, deprecation policies, and migration tooling for consumers.

Guides API evolution with versioning strategies, backward compatibility rules, deprecation workflows, and migration support.

Implement API design-first development with OpenAPI specifications, contract testing, and code generation for consistent API delivery.

Guides API design-first workflow with OpenAPI authoring, mock servers, code generation, and contract validation.

Design framework migration with coexistence patterns, incremental adoption, and regression prevention strategies.

Produces a framework migration plan with coexistence architecture, incremental adoption, and regression testing.

Design language or runtime migration with incremental adoption, interop layers, and team upskilling strategy.

Produces a language migration plan with interop architecture, incremental adoption, and team training roadmap.

Design cloud migration with workload assessment, migration waves, and hybrid operation during transition.

Produces a cloud migration plan with workload assessment, wave sequencing, and hybrid connectivity design.

Design API version migration with deprecation timelines, client migration support, and backward compatibility.

Produces an API versioning migration plan with deprecation schedule, client communication, and compatibility layer.

Design zero-downtime database migrations with schema evolution, data backfill, and rollback strategies.

Produces a database migration architecture with zero-downtime schema changes, data migration, and rollback plans.

Design strangler fig migrations that incrementally replace legacy systems with new implementations safely.

Produces a strangler fig migration plan with routing strategy, parallel validation, and incremental cutover steps.

Design read/write splitting with routing logic, consistency handling, and replica lag management for scaled databases.

Produces a read/write splitting architecture with routing strategy, consistency guarantees, and lag management.

Design connection pooling for databases, HTTP clients, and message brokers with sizing, monitoring, and failure handling.

Produces a connection pool architecture with sizing formulas, timeout configuration, and failure recovery design.

Design for low latency with critical path analysis, caching layers, async offloading, and latency budget allocation.

Produces a latency optimization architecture with critical path analysis, caching tiers, and per-hop latency budgets.

Design capacity planning with load modeling, resource forecasting, and headroom management for scalable systems.

Produces a capacity planning framework with load models, resource forecasting, and headroom policies per component.

Design CDN and edge caching with cache hierarchy, invalidation, origin shielding, and geo-distribution strategies.

Produces a CDN architecture with cache rules, invalidation strategy, origin protection, and edge computing design.

Design queue-based load leveling to absorb traffic spikes, decouple producers from consumers, and smooth processing.

Produces a queue-based load leveling architecture with backpressure handling, scaling policies, and DLQ design.

Design database scaling with read replicas, sharding, connection management, and query optimization strategies.

Produces a database scaling plan with read replica topology, sharding strategy, and connection pool optimization.

Design horizontally scalable systems with stateless services, load distribution, and auto-scaling strategies.

Produces a horizontal scaling architecture with stateless design, load balancing, and auto-scaling configuration.

Design data replication with leader-follower, multi-leader, and leaderless topologies for availability and performance.

Produces a data replication architecture with topology selection, conflict handling, and failover procedures.

Design data partitioning with shard key selection, rebalancing strategies, and cross-partition query handling.

Produces a data partitioning architecture with shard key analysis, distribution strategy, and rebalancing plan.