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A step-by-step master plan to go from fundamentals to staff-level architecture. Follow this path to ensure there are no gaps in your knowledge.
Essential concepts to start your system design journey
Understanding what scalability means and why it matters
Learn the critical difference between these two concepts
Understanding response time vs processing capacity
The fundamental trade-off in distributed systems
Core principles of building distributed architectures
How data flows across the internet
Distributing traffic efficiently across servers
Structuring your application for scale
Persistent storage strategies and patterns
Non-relational database types and use cases
Speed up your application with intelligent caching
Handling work outside the request-response cycle
Protecting your system from threats
Object storage, block storage, and distributed file systems
Event sourcing, CQRS, and log-based message brokers
Consensus, hashing, and coordination in distributed clusters
Probabilistic and spatial data structures for high scale
Processing massive datasets and analytics