Lagrange's Gateway can be seen as the 'central nervous system' of the ZK Prover Network: it abstracts the complex proving factory into a unified, reliable, and measurable service interface.
First is interface governance. Gateway provides standardized APIs, completing authentication and authorization, input normalization, and parameter validation, while continuously relaying real-time progress after acceptance; it also implements rate limiting and anti-abuse strategies to allow different proving systems and clients to 'plug and play', reducing integration friction and risk.
Next is task orchestration. Upon receiving a request, Gateway decomposes complex proofs into parallelizable job slices, performs persistent queuing, and manages task dependencies; the built-in Dispatcher classifies jobs based on computational complexity and hardware requirements (small/medium/large) and collaborates with the DARA marketplace to select the optimal prover, tracking execution, handling failures, and rollback scenarios.
On the storage side, task persistence, result caching, full recording of operation metadata, and redundant backups form a 'four-piece set' that ensures reliable delivery and provides a foundation for audit compliance and disaster recovery.
The aggregation phase is equally critical. Gateway is responsible for collecting partial proofs from various provers, first validating correctness locally, then combining them into a standard output, relaying back to the client in a streaming manner, reducing perception latency, and ensuring result consistency and completeness.
In terms of reliability, Gateway implements exponential backoff automatic retries, timeout management, automatic reassignment of provers, and attempts to recover from intermediate states to reduce duplicate work; high availability is achieved through multi-region deployment, global load balancing, health monitoring, and graceful degradation, ensuring overall service remains stable even in the event of local failures.
In terms of performance and scalability, the connection pool, batch processing, caching strategies, and asynchronous non-blocking architecture ensure high throughput and low tail latency; the system supports horizontal scaling and dynamic traffic allocation, combining resource monitoring and predictive scaling to stabilize the experience during peak periods and optimize costs during troughs.
The security model covers end-to-end encryption, input cleansing, TLS secure communication, and data isolation, with DDoS protection, rate limiting, firewalls, and intrusion detection on the network side, achieving 'fast, stable, and safe'.
For clients with large-scale and critical SLA demands, Gateway can also provide application-specific sub-networks: reserved capacity, customized SLAs, dedicated hardware, and priority queues to ensure core business can proceed in an orderly manner under high pressure.
On the observability front, real-time metrics cover throughput, success rates, and resource utilization; threshold alarms and graded handling processes, integration with mainstream monitoring tools, and custom dashboards for different roles make operations visible, controllable, and improvable; historical trend analysis, cost optimization, and user behavior insights further support refined capacity planning and product iteration.
Ultimately, Gateway reduces the 'complexity of proving networks' to a 'reliable product experience': connectivity, speed, fault tolerance, and clarity. If you are introducing verifiable computing into serious production environments, Gateway is worth considering as the default entry point and long-term dependency.
