Master system design with this comprehensive learning path covering distributed systems, scalability, databases, caching, messaging, and real-world case studies for interview prep.
Explore Kubernetes custom controllers, operators, RBAC, network policies, storage classes, and advanced patterns for production cluster management.
Learn how Apache Kafka handles distributed streaming with partitions, consumer groups, exactly-once semantics, and event-driven architecture patterns.
Explore Apache Solr's powerful search capabilities including faceted search, relevance tuning, indexing strategies, and how it compares to Elasticsearch.
Learn API versioning strategies: URL path, header, and query parameter approaches. Understand backward compatibility, deprecation practices, and migration patterns.
Learn essential high availability patterns including redundancy, failover, load balancing, and SLA calculations. Practical strategies for building systems that stay online.
Learn AWS SQS for point-to-point queues and SNS for pub/sub notifications, including FIFO ordering, message filtering, and common use cases.
The Bulkhead pattern prevents resource exhaustion by isolating workloads. Learn to implement bulkheads, partition resources, and use them with circuit breakers.
Chaos engineering injects failures into production systems to find weaknesses before they cause outages. Learn chaos experiments, game days, and fault injection.
The Circuit Breaker pattern prevents cascading failures in distributed systems. Learn states, failure thresholds, half-open recovery, and implementation.