System Design Concepts
Master the building blocks of distributed systems with Vetora's structured curriculum. From foundational concepts like latency, throughput, and the CAP theorem through advanced topics such as consensus algorithms, event-driven architectures, and ML infrastructure — every concept includes clear explanations, architecture diagrams, real-world case studies, and links to interactive simulations so you can see theory in practice.
Foundations
Core building blocks and mental models every system designer needs.
Networking & Protocols
How data moves between machines -- TCP/IP, HTTP, gRPC, and beyond.
Caching
Strategies for storing frequently accessed data closer to the consumer.
Messaging & Streaming
Asynchronous communication patterns -- queues, topics, and event streams.
Consensus & Coordination
Algorithms and patterns for distributed agreement -- Raft, Paxos, ZAB.
Consistency & Transactions
ACID, isolation levels, and consistency models in distributed systems.
Scalability Patterns
Techniques for growing system capacity -- scaling, sharding, and pooling.
Reliability & Resilience
Circuit breakers, retries, chaos engineering, and graceful degradation.
Observability
Logs, metrics, traces, and dashboards for understanding system behavior.
Security
Authentication, authorization, encryption, and threat modeling.
Performance
Latency optimization, profiling, and capacity planning techniques.
Architectural Patterns
Monoliths, microservices, event sourcing, CQRS, and hexagonal architecture.
Cloud-Native
Containers, Kubernetes, serverless, and infrastructure as code.
Data Engineering
Batch processing, stream processing, ETL pipelines, and data lakes.
AI / ML Infrastructure
Model serving, feature stores, training pipelines, and GPU orchestration.
Trade-Off Deep Dives
In-depth analysis of classic system design trade-offs and decision frameworks.
Interview Toolkit
Frameworks, checklists, and practice strategies for system design interviews.
Storage
Databases, storage engines, replication, and partitioning strategies for durable, scalable data persistence.