A practical learning path for decomposing monoliths, designing service boundaries, handling distributed data, deploying at scale, and keeping a microservices system healthy in production.
Learn how API gateways work, when to use them, architecture patterns, failure scenarios, and implementation strategies for production microservices.
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 by comparing URL paths, headers, and query parameters, then plan compatible changes, deprecation, and consumer migrations.
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.