Master the art of designing large-scale distributed systems. From load balancing to database sharding, learn how to build scalable, reliable, and maintainable backend architectures.
A complete roadmap to understanding core concepts like CAP theorem, Consistent Hashing, and Consensus algorithms.
Deep dive into decomposing monoliths, inter-service communication (gRPC, REST), and managing distributed transactions.
Learn how to design and implement fault-tolerant distributed systems using Go's concurrency primitives, circuit breakers, and graceful degradation patterns.
BackendBytes Architect Team
Explore advanced caching patterns including write-through, write-behind, cache-aside, and distributed caching with Redis Cluster for high-throughput systems.
BackendBytes Architect Team
A practical guide to the Raft consensus algorithm with Go implementation examples. Learn leader election, log replication, and safety guarantees.
BackendBytes Architect Team
Stop blindly choosing a database. We benchmark performance, analyze consistency models, and compare operational complexity for high-scale workloads.
BackendBytes Architect Team
When your distributed system hits 100k requests per second, your caching layer becomes the most critical component. Here's how to configure Redis Cluster for maximum resilience.
BackendBytes Architect Team