AlgoSimplified
Build depth in DSA, databases, distributed systems, Kafka, and production engineering with focused lessons, practical examples, and practice tracks that are easy to revisit.
Current Learning Paths
Focused paths for serious engineering practice.
Build real backend and systems depth
Understand trade-offs behind production designs
Practice core DSA patterns with repetition
Move from fundamentals to implementation
Production-oriented paths for engineers who want durable understanding.
Learn to build a high-performance key-value database in Go. Master concurrency, persistence, networking, and optimization techniques from scratch to production readiness.
Master Apache Kafka from zero to production. Learn architecture, producers, consumers, streams, schema registry, security, and production patterns with real-world examples.
Quick entry points for focused repetition and interview preparation.
Kafka observability guide for production teams. Monitor consumer lag, broker health, throughput, partitions, Prometheus metrics, Grafana dashboards, and alerting.
Kafka deployment guide for production systems. Learn broker sizing, monitoring, security, backup strategy, performance tuning, scaling, and disaster recovery.
Learn Kafka Streams with hands-on examples. Build real-time data processing applications, windowing operations, and stream-table joins in this comprehensive tutorial.
Choose a path, read the curriculum, and move into the first lesson without accounts, paywalls, or setup friction.