Operating Systems Roadmap
A comprehensive learning path from computing fundamentals to advanced operating system concepts. Master process management, memory allocation, file systems, and concurrency.
A comprehensive learning path from computing fundamentals to advanced operating system concepts. Master process management, memory allocation, file systems, and concurrency.
A comprehensive DSA learning path from fundamentals to advanced problem-solving covering arrays, trees, graphs, dynamic programming, and competitive programming.
Master Git from fundamentals to expert workflows. Learn branching strategies, collaboration patterns, and repository management for modern development teams.
A practical learning path for building reliable data pipelines, choosing between batch and stream processing, and designing analytics infrastructure that actually works in production.
A practical learning path covering relational modeling, NoSQL patterns, indexing strategies, query optimization, and distributed data systems — everything you need to design databases that actually hold up under production load.
Master DevOps practices with this comprehensive learning path covering Docker, Kubernetes, CI/CD pipelines, infrastructure as code, and cloud-native deployment strategies.
Master distributed systems with this comprehensive learning path covering CAP theorem, consensus algorithms, distributed transactions, clock synchronization, and fault tolerance patterns.
A practical learning path for decomposing monoliths, designing service boundaries, handling distributed data, deploying at scale, and keeping a microservices system healthy in production.
Master system design with this comprehensive learning path covering distributed systems, scalability, databases, caching, messaging, and real-world case studies for interview prep.