Distributed Rate Limiter & Token Bucket
Multi-region sliding window counters with local Envoy token buckets, async Redis sync, and fail-open circuit breaker policies.
Master distributed systems interviews with real-time architecture diagrams, 15-stage senior blueprints, capacity calculations, and battle-tested failure mode defense.
ClawPad organizes answers into the structured sequence senior FAANG interviewers score against.
Clarify functional vs non-functional constraints, throughput targets (QPS, DAU), latency SLAs (p99 < 50ms), and storage retention bounds before touching architecture.
Derive read/write QPS, memory caching requirements, bandwidth ingress/egress, and disk IOPS step by step; the desktop re-checks the capacity model's throughput and bandwidth arithmetic for consistency before rendering it.
Draft REST/gRPC endpoint signatures, payload envelopes, idempotency keys, and error semantics that match production standards.
Render clear component topologies from edge API gateways down to service meshes, load balancers, caching layers, and asynchronous event streams.
Choose the right persistence engine (Postgres, ScyllaDB, Redis, DynamoDB) with indexing strategies, primary/foreign key relationships, and partition keys.
Defend your design choices: Cache-aside vs write-through, single-leader vs multi-region Raft consensus, consistent hashing virtual nodes, and backpressure handling.
Practice end-to-end designs across high-concurrency real-world patterns.
Multi-region sliding window counters with local Envoy token buckets, async Redis sync, and fail-open circuit breaker policies.
Base62 key generation clusters, consistent hashing with 256 virtual nodes per shard, and Redis LRU caching for hot keys.
Long-lived WebSocket gateways, connection state stores, Kafka pub/sub messaging channels, and Cassandra/ScyllaDB message history partitions.
Hybrid fanout-on-write vs fanout-on-read for celebrity accounts, Redis timeline caching, and asynchronous background worker pipelines.
Understand the interview coaching flow before your next mock session.
ClawPad breaks questions down into the exact sequence top tech hiring managers expect: Clarification, Capacity Estimation, API Contracts, High-Level Architecture, Deep Dives, and Failure-Mode Analysis, generating interactive diagrams side-by-side.
ClawPad supports Junior, Mid-level, Senior, Staff, and Principal blueprints. Senior and Principal tracks emphasize failure modes, trade-offs, evolution under 100x load, and organizational SLAs.
ClawPad's native engine renders interactive SVG architecture topologies showing clients, gateways, microservices, caches, and database clusters as the answer streams in.
Partly. System-design answers carry a capacity model, and the desktop checks that its peak requests per second and bytes per second follow from the stated daily requests, peak multiplier, and payload size before rendering. Storage totals and other figures are yours to re-derive.