System Design Platform · v2.0

System design is the ceiling for most engineers. We make it the floor.

150+ structured problems, an in-browser diagram canvas, and guided case studies — built for engineers who already know how to code.

Browse Problems

Trusted by 12,000+ engineers · Stripe · Cloudflare · Meta · Shopify · Coinbase

Priya S.solvedConsistent Hashing2m agoAlex M.hit a14-day streak5m agoJordan K.passed a Staff interview atStripe12m agoMarcus T.solvedRate Limiter Design1m agoSarah L.completedCDN Architecture module8m agoChris W.is on a22-day streakjust nowNeha R.solvedDistributed ID Generator4m agoKevin B.passed a Senior interview atMeta18m agoRavi P.masteredCAP Theorem deep dive6m agoLily C.solvedEvent Sourcing Architecture9m agoOmar H.passed a Principal interview atCloudflare22m agoAnya V.hit a30-day streak14m ago
// the problem

Leetcode taught you to code. Nobody taught you to think at scale.

System design interviews separate senior engineers from staff — and most preparation resources are shallow, disconnected, or purely theoretical. You don't need another blog post about Twitter's architecture. You need a place to actually practice building systems, breaking them under load, and articulating tradeoffs out loud.

73%of engineers fail system designdespite passing every coding round
6 wksaverage prep time neededfor a single staff-level loop
0mainstream platformswith structured, interactive SD practice
// the platform

Four tools. One coherent system for getting interview-ready.

01 / Canvas

Build real architectures in the browser. No whiteboard required.

Drag, connect, and annotate system components on a fully interactive canvas. Design a CDN, a message queue, or an entire microservices topology — then get structural feedback before you step into the room.

twitter-timeline.sysiq
7 nodes · 9 edgesSave
CursorNodeEdgeLabelComment
100%
Load Balancer
App Server 1
App Server 2
App Server 3
Redis Cache
PostgreSQL
Properties
Redis Cache
Typecache
Version7.2.4
Port6379
Replicas3
Memory16 GB
DeleteDup.
02 / Case Studies

Walk through real architectures, decision by decision.

Guided, step-by-step breakdowns of Twitter's timeline feed, Uber's dispatch system, Discord's message fanout, and more. Not summaries — structured deep dives with embedded questions at every tradeoff point.

Case Study · Twitter
Design Twitter's Timeline Feed
Step 3 of 8
Requirements & Scale Estimation
High-Level Architecture
Fanout on Write vs Read
Timeline Storage Schema
Cache Strategy & Invalidation
Handling Celebrity Accounts
~42 min remaining
03 / Problem Bank

150+ problems organised by domain, difficulty, and company.

Consistent Hashing to CRDT, Rate Limiters to Service Mesh. Every problem includes back-of-envelope estimations, architectural constraints, and a structured solution rubric used by actual staff-level interviewers.

AllDistributedStorageMessagingReal-timeAuth
HardConsistent HashingDistributed
MediumDesign a Rate LimiterInfra
HardEvent SourcingMessaging
HardDistributed CacheStorage
EasyPush Notification SystemMessaging
Showing 5 of 150+View all →
04 / Simulator

Timed mock sessions with AI-powered structural feedback.

Simulate a real staff-level system design interview: 45-minute timer, intentionally ambiguous requirements, and an AI evaluator that scores your solution on scalability, consistency, and availability tradeoffs.

Mock Interview · Staff Level
23:47
Question

“Design a real-time collaborative editing system. Assume 10M DAU with up to 500 simultaneous editors on a single document.”

AI Evaluator
Scalability: Missing horizontal sharding strategy
Consistency: Good — CRDT approach correctly identified
Availability: Needs more on multi-region failover
// problem bank

See what you're actually solving.

Every problem includes back-of-envelope estimations, structured tradeoff rubrics, and reference solutions reviewed by engineers who've cleared staff-level loops at top companies.

8 free · 24 total
Design a Rate Limiter
MediumDistributed Systems
Google · Stripe
Consistent Hashing
HardDistributed Systems
Amazon · Discord
Design a URL Shortener
EasyStorage
Google · Meta
Design a Message Queue
MediumMessaging
LinkedIn · Uber
CDN Architecture
HardDistributed Systems
Cloudflare · Netflix
Real-time Chat System
MediumReal-time
Slack · Discord
OAuth 2.0 + Session Management
MediumAuth
Okta · GitHub
Distributed Cache (Redis)
HardStorage
Twitter · Pinterest
Search Autocomplete System
MediumDistributed Systems
Google · Yelp
File Storage System (S3-like)
HardStorage
Dropbox · Box
Push Notification System
EasyMessaging
Facebook · Apple
WebSocket Scaling
HardReal-time
Twitch · Discord
API Gateway Design
MediumDistributed Systems
Netflix · Kong
JWT + Token Refresh Flow
EasyAuth
Auth0 · Stripe
Event Sourcing Architecture
HardMessaging
Confluent · Shopify
Distributed ID Generator
MediumDistributed Systems
Twitter · Instagram
Database Sharding Strategy
HardStorage
YouTube · Airbnb
Live Location Tracking
HardReal-time
Uber · Lyft
Zero-Trust Auth Architecture
HardAuth
Okta · Cloudflare
Presence & Typing Indicators
MediumReal-time
Slack · Notion
Dead Letter Queue Design
MediumMessaging
AWS · RabbitMQ
Raft Consensus Implementation
HardDistributed Systems
CockroachDB · etcd
Time-Series Database
HardStorage
InfluxDB · Datadog
Multi-Region Failover
HardDistributed Systems
Stripe · Cloudflare

Showing 24 of 150+ problems

View all →
// diagram canvas

Design systems visually. In the browser. Right now.

No Lucidchart. No Miro. No setup. A purpose-built canvas that understands the difference between a cache and a message queue — and helps you reason about it.

Sysiq/canvas/twitter-timeline-v3
ShareExport
100%
Redis Cache selected
Load Balancer
App Server 1
App Server 2
App Server 3
Redis Cache
Message Queue
PostgreSQL
Properties
Redis Cache
cache · node_07
Typecache
EngineRedis 7.2
Port6379
Replicas3
Memory16 GB
Evictionallkeys-lru
TTL86400s
Clusterenabled
Connections
App Server 1
App Server 2
PostgreSQL
7 nodes · 9 edgestwitter-timeline-v3
ValidatedLast edit 2s ago

No whiteboard needed

Everything runs in the browser. Open a problem and start drawing within seconds.

Typed components

Every node knows its role. Caches, queues, databases, and gateways each have distinct validation rules.

Structural feedback

The canvas checks your design for common architectural anti-patterns as you build.

// leaderboard + progress

Real engineers. Real momentum. Real pressure.

A global leaderboard, daily streaks, and domain mastery badges — built to keep senior engineers accountable without feeling like a language-learning app.

Global LeaderboardThis week
1
SK
Sarah K.
Staff Eng · Shopify
2,840
47-day streak
2
MT
Marcus T.
Senior Eng · Coinbase
2,610
31-day streak
3
NR
Neha R.
Senior Eng · Cloudflare
2,390
28-day streak
4
5
You
You are currently ranked #47+3 today
Current Streak
14
days
Personal best: 22
M
T
W
T
F
S
S
Domain Badges4 / 8 earned
Caching Master
Storage
Consistency Expert
Distributed
Load Balancing Pro
Infra
Storage Architect
Storage
Messaging Guru
Messaging
Real-time Builder
Real-time
Security Specialist
Auth
Distributed Systems
Distributed
Live Activity
Last 30 min
Priya S.solvedConsistent Hashing
2m ago
Alex M.hit a14-day streak
5m ago
Jordan K.passed a Staff interview atStripe
12m ago
Marcus T.solvedRate Limiter Design
1m ago
Sarah L.completedCDN Architecture module
8m ago
Neha R.solvedDistributed ID Generator
4m ago
Kevin B.passed a Senior interview atMeta
18m ago
Ravi P.masteredCAP Theorem deep dive
6m ago
12,000+engineers enrolled
4,200+problems solved this week
150+structured problems in the bank
94%report higher interview confidence
// what engineers say
I spent three months on Leetcode and thought I was interview-ready. Sysiq showed me how shallow my system design knowledge actually was. Three weeks in, I was walking through Kafka partitioning strategies without notes.
Priya M.
Staff Engineer · Shopify
The diagram canvas changes everything. I used to freeze up when asked to whiteboard a design. Now I have a mental model I can actually articulate under pressure. The typed nodes alone — knowing the difference between a queue and a cache at the schema level — fixed gaps I didn't know I had.
James K.
Senior Engineer · Coinbase
The problem depth is real. This isn't surface-level 'here's how to design Twitter' content. They go into the tradeoffs, the failure modes, the back-of-envelope math. That's what interviewers at staff level actually care about.
Ravi S.
Principal Engineer · Cloudflare
Engineers from these companies use Sysiq
StripeCloudflareMetaShopifyCoinbaseDiscordVercelNotion
// curriculum

Everything that matters. Nothing that doesn't.

70topics across 8 domains

The full breadth of what a staff-level engineer is expected to know. Organised by domain so you can identify and close specific gaps rather than re-covering ground you already own.

Distributed Systems

12
Consistent HashingCAP TheoremCRDTRaft ConsensusPaxosVector ClocksTwo-Phase CommitSaga PatternLeader ElectionGossip ProtocolQuorum Reads/WritesDistributed Transactions

Caching

9
LRU / LFU EvictionCache Invalidation StrategiesWrite-through vs Write-behindCDN Edge CachingRedis Cluster ModeMemcached ArchitectureCache Stampede PreventionRead-through CacheThundering Herd Problem

Storage

10
B-Tree IndexingLSM TreeColumn-Oriented StoresSharding StrategiesReplication LagWrite-Ahead Log (WAL)MVCCBloom FiltersHyperLogLogTime-Series Storage

Messaging

9
Kafka PartitioningEvent SourcingCQRSPub/Sub PatternsMessage Ordering GuaranteesDead Letter QueuesExactly-Once DeliveryBackpressure HandlingOutbox Pattern

Networking & APIs

8
Load Balancing AlgorithmsAPI Gateway PatternsCircuit Breaker PatternRate Limiting AlgorithmsService DiscoverygRPC vs REST vs GraphQLGraphQL FederationReverse Proxy Design

Real-time Systems

7
WebSocket ScalingLong Polling vs SSEWebRTC SignalingPresence SystemsOperational TransformationCRDT for CollaborationFan-out Architecture

Security & Auth

8
OAuth 2.0 FlowsJWT Internals & PitfallsmTLSZero-Trust ArchitectureAPI Key ManagementRBAC vs ABACSession vs Token AuthPKCE Flow

Infrastructure

7
Service Mesh (Istio/Envoy)Container OrchestrationBlue/Green DeploymentsChaos EngineeringObservability (Logs, Metrics, Traces)Multi-Region ArchitectureEdge Computing Patterns

Can't find a topic? We add 4–6 new problems and deep dives every month — community-voted, reviewer-approved, and shipped with full solution rubrics.

Request a topic
// pricing

One decision. No traps.

Start free and begin solving immediately. Paid plans will return once checkout is fully integrated.

Free
$0forever

Enough to know if this is worth your time.

15 problems unlocked, no time limit
In-browser diagram canvas (read-only templates)
Community leaderboard access
No case studies
No interview simulator
No streak tracking or badges

No credit card required. Billing options will appear after payments launch.

// get started

The engineers who get staff offers didn't get lucky.They just prepared differently.

Stop reading architecture summaries. Start building systems, breaking them under load, and articulating tradeoffs with precision. That's what the interview tests — and that's exactly what Sysiq trains.

No credit card. No setup. First problem in under 60 seconds.