Live System Design Simulation Studio Architecture
Experience the world's first interactive system design environment that marries high-level distributed software topologies with bare-metal server rack physics, cooling fan telemetry, dynamic load stress tests, and automated AI code generation.
1. Dynamic Traffic Topology
Real-time stress test from 10 req/s to 10M peak load with visual socket wiring & latency metrics.
2. Bare-Metal Rack Physics
Dual 120mm PWM brushless cooling fans (32 dBA) with dynamic RPM throttle and thermal simulation.
3. Live Infrastructure Cost
Accurate cloud & hardware monthly billing telemetry ($91/mo) updated live as you attach services.
4. Swadha AI Socratic Copilot
Instant voice and visual interrogation of your SPOF, partition tolerance, and cache consistency.
Learn System Design by Building & Simulating It.
No more staring at confusing blank canvases. Swadha AI auto-draws complete, industry-standard architectures for 15+ real-world products (Generative AI RAG, Bitly, YouTube, WhatsApp, BookMyShow, Razorpay). You can drag, rewire, test connections, and stress-test components under simulated traffic loads.
1. Enterprise Document Ingestion & Multi-Modal Parsing
Ingest 100k+ enterprise PDFs, PPTs, tables, and scanned docs using OCR, Markdown/Semantic Chunking, dead-letter queues, and Kafka streaming backpressure.₹375
₹500
Try the Live Interactive System Design AI Studio Right Now
Switch architectures from the dropdown below, slide the traffic load from 1K to 80K req/s, and click any node to rewire components.
How Global Clients & Enterprises Bypass High-Priced Gen AI Architects & FDEs
Consulting firms and boutique tech agencies charge $150 to $350 per hour for Forward Deployed Engineers (FDEs) and Solution Architects just to whiteboard basic Proofs of Concept (POCs). With Swadha AI’s 360° Live Simulation, founders, engineering leaders, and global clients model, simulate, and stress-test end-to-end architectures in minutes — bypassing 95% of consulting dependency.
Enterprise Architecture Simulation Studio
1. Live Visual Architecture & Topology
Design complex microservices, gRPC backbones, asynchronous message queues, and API gateways on an interactive drag-and-drop canvas with automatic failure-mode detection.
2. Token, Inference & LLM Capacity
Simulate live Gen AI pipelines: prompt token overhead, context cache hit rates, vector database indexing latency (Pinecone/Milvus), and multi-tenant GPU allocation.
3. Cloud & Bare-Metal Hardware Assets
2D server rack visualization, real-time cooling fan telemetry (dual 120mm PWM), thermal dissipation modeling, and live dollar-for-dollar infrastructure costing ($91/mo).
4. Payment Gateway & Ledger Idempotency
Simulate double-entry financial ledgers, distributed transactional locks, idempotent webhook retry policies, and Razorpay/Stripe checkout fallbacks.
5. Zero-Trust Cybersecurity & DDoS
Simulate malicious traffic attacks, distributed rate-limiters (Token Bucket & Leaky Bucket), TLS termination, and granular OAuth2/JWT policy validation.
6. Governance, SOC2 & Compliance Audit
Generate comprehensive architectural compliance documentation for SOC2, HIPAA, and GDPR directly from your live simulated canvas topology.
🚀 Swadha AI क्लाइंट की जरूरतों के अनुसार कस्टम Architecture Simulation खुद तैयार करती है — No Need to Hire $150–$350/hr FDEs & Architects
ग्लोबल क्लाइंट्स (US, UK, Germany, Canada, Japan, Silicon Valley) और भारतीय कंपनियों के लिए Swadha AI किसी भी प्रोजेक्ट की आवश्यकता के अनुसार High-Level (HLD) & Low-Level (LLD) आर्किटेक्चर सिमुलेशन मिनटों में लाइव ड्रा और स्ट्रेस-टेस्ट कर देती है। बुनियादी POCs या वाइटबोर्डिंग के लिए कंपनियों को अब महंगे कंसल्टेंट या सीनियर AI आर्किटेक्ट्स पर लाखों रुपये खर्च करने की कोई जरूरत नहीं है।
🎯 इंटरव्यूअर्स के पूर्वाग्रह (Interviewer Bias & Skepticism) का अकाट्य समाधान:
जब कोई कैंडिडेट RAG पाइपलाइन, डॉक्यूमेंट इंजेशन या ऑटोनॉमस एजेंटिक वर्कफ़्लो एक्सप्लेन करता है, तो इंटरव्यूअर को विश्वास नहीं होता कि उसने खुद यह बनाया है। Swadha AI के 360° लाइव सिमुलेटर से आप डॉक्यूमेंट पार्सिंग बाउंड्री, हाइब्रिड BM25+वेक्टर सर्च, RAG इवैल्यूएशन (Ragas/TruLens) और 10M TPS लोड स्ट्रेस-टेस्टिंग को स्क्रीन पर लाइव चलाकर और वास्तविक टेलीमेट्री दिखाकर 100% प्रामाणिकता के साथ डिफेंड कर सकते हैं।
Democratized Access for Developers & Students
Tailored specifically for independent learners, university students, faculty teachers, and candidates preparing for SDE-2, AI Architect & FDE interviews on OSSTube.
India (Domestic)
Razorpay
UPI, Google Pay, PhonePe, Paytm, RuPay, Netbanking & Credit/Debit Cards.
₹375 ₹50025% OFF
Global Edu Pass
PayPal
PayPal, Stripe, Visa, MasterCard, American Express in USD / EUR / GBP.
$19 USD $49GLOBAL EDU
Full 360° System Design Simulator Access
15 Industry AI Architectures (RAG, Agents, Databricks)
Dynamic 10 req/s to 10M Peak Stress Testing
Swadha AI Socratic Voice Interview Mode
Custom AI Architecture Simulation for Global IT Clients
Designed for corporate clients in US, UK, Germany, Canada, Japan, Silicon Valley & India. Order or commission custom System Design Architecture Simulations tailored to your exact enterprise stack on osslab.in.
Custom Multi-Modal RAG & Agentic Topology Design
Pre-Production POC Validation (Bypass $20k+ Retainers)
Enterprise SLA, Zero-Trust RBAC & SOC2 Reviews
Dedicated Architecture Advisory & Sandbox Deployment
🛡️ 100% Risk-Free Money-Back Guarantee
If Swadha AI does not save your team at least 10 hours of architecture design time or significantly elevate your system design confidence within 7 days, simply request a refund from your dashboard. We will process a 100% no-questions-asked instant refund.
How You Will Learn System Design
Whether you are in college preparing for your first interview, or a senior engineer scaling billions of requests.
Freshers & College Students
No prior experience required — start from one server to basic scaling
What you will build & master:
Client-Server architecture, DNS, TCP/IP, and HTTP/HTTPS vs gRPC
Building your first system: Bitly URL Shortener from a blank canvas
Why and when to add In-Memory Caching (Redis/Memcached)
Single point of failure (SPOF) and introduction to Load Balancers
SQL vs NoSQL: Picking PostgreSQL vs MongoDB with concrete trade-offs
Crack entry-level SWE / SDE-1 System Design and Backend architecture rounds with confidence.
Start This Track (₹375)15 Modern Gen AI, RAG & Lakehouse Architectures
Replaces outdated Web 2.0 systems with the exact 15 production architectures demanded by US, UK, Silicon Valley & Indian clients for AI Engineer, Gen AI Architect, FDE, and Azure Databricks roles. Master Document Ingestion, Hybrid Vector Retrieval, Continuous RAG Evaluation, and Autonomous Multi-Agent Pipelines.
15 System Design AI Studio Blueprints
1. Enterprise Document Ingestion & Multi-Modal Parsing
RAG Ingestion PipelineIngest 100k+ enterprise PDFs, PPTs, tables, and scanned docs using OCR, Markdown/Semantic Chunking, dead-letter queues, and Kafka streaming backpressure.2. Production Hybrid RAG (BM25 Sparse + Dense Vectors + Cross-Encoder)
Enterprise Search CoreTwo-stage retrieval fusing BM25 keyword matching with dense embeddings (BGE-M3) via Reciprocal Rank Fusion (RRF), passed through Cohere cross-encoder re-ranking.3. Corrective RAG (CRAG) + Self-Reflection & Hallucination Gates
Self-Healing RAGAutomated retrieval grader: if vector retrieval confidence is below threshold, triggers fallback web search; evaluates hallucination index before response streaming.4. Continuous RAG Evaluation & Observability Pipeline
LLMOps & EvaluationAutomated real-time evaluation of Context Relevance, Groundedness/Faithfulness, and Answer Relevance. Automated CI/CD test gates preventing prompt & chunk regressions.5. Autonomous Multi-Agent Orchestration with Supervisor Routing
Multi-Agent SystemHierarchical supervisor agent delegating tasks to specialized subagents (Web Research, Code Gen, SQL Analytics, Peer Review) with cyclic state graphs and Human-in-the-Loop gates.6. Agentic RAG with Real-Time Tool Calling & Code Execution Sandboxes
Tool-Augmented AIDynamic function calling enabling LLM agents to write, validate, and execute Python/SQL data analytics queries inside secure, isolated micro-VM sandboxes.7. Medallion Lakehouse on Azure Databricks & Delta Lake
Data Engineering & LakehouseProduction Bronze (raw event streaming), Silver (cleansed CDC deduplication via Spark), and Gold (Star schema aggregation) tables governed by Unity Catalog for PowerBI & ML.8. Real-Time Streaming Feature Store for Fraud & Recommendations
Streaming ML PlatformDual-storage feature store serving low-latency online inference (<5ms via Redis) and point-in-time historical features for training without data leakage.9. Multi-Tenant Enterprise LLM Gateway & Semantic Caching
GenAI InfrastructureCentralized proxy offering OpenAI-compatible routing, cosine-similarity prompt caching (saving 65% token bills), tenant token rate-limits, and multi-provider failover.10. Distributed Fine-Tuning & Model Alignment Pipeline (LoRA / DPO)
Distributed ML TrainingParameter-efficient fine-tuning (PEFT/QLoRA) on multi-GPU clusters, automated Direct Preference Optimization (DPO), and model quantization for vLLM deployment.11. Zero-Trust Enterprise Search with Document-Level RBAC
Enterprise Security & SearchEnforce granular Active Directory / Okta permission inheritance on vector indices. Users only search and retrieve document chunks their OAuth2/SAML scope authorizes.12. Multi-Modal Duplex Voice Agent & WebRTC Audio Pipeline
Voice & Real-Time AISub-300ms bidirectional duplex voice bot with Voice Activity Detection (VAD), chunked Whisper streaming transcription, LLM reasoning, and Kokoro/ElevenLabs audio synthesis.13. High-Throughput Billion-Scale Vector Index Sharding
Distributed Storage CoreBillion-scale vector search architecture with Product Quantization (8x memory compression), consistent hashing shard partitions, and Raft replication across NVMe nodes.14. FinTech Double-Entry Ledger & Distributed Idempotency Core
Distributed TransactionsMission-critical financial ledger eliminating double-spending via distributed Saga patterns, two-phase commit lock mitigation, Redis idempotency keys, and CDC audit logs.15. Autonomous Code Generation & Self-Healing CI/CD Agent
Autonomous Engineering AgentAutonomous agent parsing repository AST, generating comprehensive unit/integration test suites, executing tests in sandboxed containers, and iteratively auto-patching failing code.Why Learn System Design with Swadha AI?
Feature
OSSTube + Swadha AI
Traditional Video / Static Platforms
Live AI Voice Socratic Interrogation
✅ Yes (Speaks & Evaluates)
❌ No (Pre-recorded only)
AI Agent Pre-Drawn Architectures (15+)
✅ Automatic Full Pipeline Draw
❌ No (Blank screen only)
Interactive Architecture Canvas
✅ Drag & Drop Component Nodes
⚠️ Basic Canvas
Live Simulated Traffic Load (TPS)
✅ Real-time Stress Testing
⚠️ Basic load check
Low-Level Design (APIs, Schemas)
✅ Both HLD & LLD Included
⚠️ Limited LLD
15 Real-World Apps Architecture Walkthrough
✅ Bitly, WhatsApp, Razorpay, etc.
⚠️ Limited Apps
Pricing (Democratized for Students)
⚡ ₹375 (Regular ₹500)
💸 Expensive Plans (₹10,000+)
Design Your First System Today
Join hundreds of developers who have cracked backend & system design interviews with Swadha AI.
Claim Your Spot for ₹375 (25% OFF)⚡ 25% discount valid for the first 500 registered learners only.