Belajar System Design dari dasar hingga production-grade: pre-requisites & mental models, distributed system, scalability & load balancing, caching strategies, database fundamentals & indexing, message queue & event streaming, API design, storage & CDN, full-text search, CAP theorem & consistency models, distributed consensus Raft & Paxos, replication strategies, sharding & partitioning, fault tolerance & resilience patterns, microservices, event-driven & CQRS, migrasi monolith, serverless & edge, cost-aware design, case study URL shortener, chat system, news feed, distributed rate limiter, distributed file storage, observability & monitoring, tren modern 2026, hingga roadmap karir & refleksi akhir dengan total 28 episode.
Sebelum merancang sistem berskala besar, kalian perlu memahami mental model system design: requirements → estimasi → design → bottleneck, serta mempersiapkan tool whiteboarding dan latihan estimasi back-of-envelope

Memahami perbedaan monolith vs distributed system, kenapa distribusi diperlukan untuk scale dan reliability, konsep single point of failure, serta CAP theorem yang menjadi trade-off fundamental dalam setiap desain sistem terdistribusi

Memahami vertical scaling (upgrade hardware) vs horizontal scaling (tambah mesin), load balancing algorithm (round-robin, least connections, health check), serta perbandingan L4 vs L7 load balancer untuk arsitektur production

Memahami lapisan caching dari browser hingga database, pola cache-aside/read-through/write-through/write-behind, serta masalah umum seperti thundering herd, cache stampede, dan hot key yang sering muncul di production

Memahami perbandingan SQL vs NoSQL (relational, document, key-value, wide-column), replikasi leader-follower synchronous vs asynchronous, dan partitioning/sharding hash-based vs range-based untuk database berskala besar

Memahami B-Tree index, LSM-Tree, hash index, EXPLAIN ANALYZE untuk query optimization, join strategy, connection pooling, serta praktik optimasi query lambat di PostgreSQL dengan index yang tepat

Memahami task queue (Bull/Beanstalkd), message broker (RabbitMQ), event streaming (Apache Kafka), dead-letter queue, retry strategy, serta kapan menggunakan async processing untuk decouple services dan buffer burst traffic

Memahami REST (resource naming, pagination, idempotency), GraphQL (schema-first, N+1 problem, DataLoader), gRPC (Protobuf, HTTP/2, streaming), dan rate limiting (token bucket, sliding window) untuk desain API production

Memahami object storage (S3/R2/GCS), CDN edge caching, consistent hashing untuk distribusi data, dan desain sistem upload gambar dari client ke presigned URL lalu ke CDN edge untuk serving global

Memahami inverted index, scoring BM25, arsitektur cluster/shard/replica Elasticsearch, real-time indexing pipeline, serta praktik setup Docker dan full-text search query dengan highlighting untuk product search
