Edge API Gateways & Load Balancers
Visual routing showing SSL termination, DNS Geo-DNS routing, rate-limiting Envoy sidecars, and reverse proxy distribution layers.
Turn complex distributed systems prompts into interactive SVG architecture topologies, database relational schemas, and data flow pipelines as your answer streams.
Every diagram is derived deterministically from the underlying engineering blueprint.
Visual routing showing SSL termination, DNS Geo-DNS routing, rate-limiting Envoy sidecars, and reverse proxy distribution layers.
Component mapping for stateless compute instances, gRPC internal service mesh meshes, and distributed Redis cache-aside clusters.
Decoupled asynchronous worker topologies, event partitioning, dead-letter queues, and real-time notification fanout mechanisms.
Primary/replica topologies, ScyllaDB/Cassandra wide-column partitions, and complete PostgreSQL relational schemas with indexed primary keys.
Senior and Staff interviewers evaluate your ability to think in structured abstractions.
Follow a single read or write request across ingress, cache hits, database queries, and asynchronous background reconciliation step-by-step.
Visually isolate single points of failure (SPOFs), network partitions, and failover leader elections when the interviewer asks: “What breaks at 10x traffic?”
Articulate why you selected an append-only event log over synchronous database writes using a clear visual topology.
How ClawPad generates and presents architecture models during practice.
ClawPad's managed AI returns each system design answer as a structured contract, and the desktop client renders that contract deterministically into clean, responsive SVG architecture canvases.
Diagrams automatically map client entrypoints (Web, Mobile, Third-party), API Gateways, Load Balancers, Application Microservices, Caching tiers (Redis, Memcached), Message Queues (Kafka, RabbitMQ), Primary Databases, Read Replicas, and Analytics Stores.
Yes. In addition to high-level architecture topologies, ClawPad outputs database table schemas with data types, primary keys, partition keys, and foreign-key relationships.
System design interviews are visual. Having a structured topology allows you to walk through request lifecycles sequentially, explain cache-aside invalidation, and defend scaling bottlenecks with clarity.