High Availability Patterns: Build Reliable Distributed Systems
Learn essential high availability patterns including redundancy, failover, load balancing, and SLA calculations. Practical strategies for building systems that stay online.
Posts tagged with #system-design
Consistency Models in Distributed Systems: Complete Guide
Learn about strong, weak, eventual, and causal consistency models. Understand read-your-writes, monotonic reads, and picking the right model for your system.
Consistent Hashing: Data Distribution Across Systems
Learn how consistent hashing works in caches, databases, and CDNs, including hash rings, virtual nodes, node additions, and redistribution strategies.
System Design: Real-Time Chat System Architecture
Deep dive into chat system design. Learn about WebSocket management, message delivery, presence systems, scalability patterns, and E2E encryption.
System Design: Netflix Architecture for Global Streaming
Deep dive into Netflix architecture. Learn about content delivery, CDN design, microservices, recommendation systems, and streaming protocols.
System Design: Twitter Feed Architecture and Scalability
Deep dive into Twitter system design. Learn about feed generation, fan-out, timeline computation, search, notifications, and scaling challenges.
System Design: URL Shortener from Scratch
Deep dive into URL shortener architecture. Learn hash function design, redirect logic, data storage, rate limiting, and high-availability.
Load Balancing: The Traffic Controller of Modern Infrastructure
Learn how load balancers distribute traffic across servers, the differences between L4 and L7 load balancing, and when to use software vs hardware solutions.
PACELC Theorem: Latency vs Consistency Trade-offs
Explore the PACELC theorem extending CAP theorem with latency-consistency trade-offs. Learn when systems choose low latency over strong consistency and vice versa.
CAP Theorem: Consistency vs Availability Trade-offs
Learn the fundamental trade-off between Consistency, Availability, and Partition tolerance in distributed systems with practical examples.