Category

System Design

Distributed systems, scalability, caching, load balancing, CAP theorem, messaging, high availability, real-world architecture

35 posts

Mastering System Performance: From Bottleneck Analysis to Scaling at Scale

In the realm of system design, "performance" is not merely a feature; it is the foundation of user experience and system reliability. As applications grow from small prototypes to enterprise-grade platforms, the complexity of optimizing for throughput and minimizing latency increases exponentiall...

Understanding Consistency Models: Beyond the CAP Theorem

In the realm of distributed system design, one of the most critical decisions an architect must make is how to handle data consistency. As we move from single-node databases to distributed clusters, the guarantees we receive regarding data visibility change fundamentally. While the CAP theorem fa...

Mastering Distributed Consensus: A Deep Dive into Raft and Paxos

In the realm of modern software architecture, reliability is paramount. As we move away from single-node applications toward distributed systems, the problem of ensuring all nodes agree on the state of data becomes critical. This is where Consensus Algorithms come into play. They are the bedrock ...

Mastering Rate Limiting: Architecting Resilient and Scalable Systems

In the landscape of modern distributed systems, ensuring availability and reliability is paramount. Among the myriad of challenges system architects face, protecting services from abuse, traffic spikes, and Denial of Service (DoS) attacks stands out. Rate limiting is the cornerstone strategy for ...

Mastering CDN Architecture: From Edge Nodes to Origin Servers

In the modern landscape of web application development, latency is the silent killer of user experience. Whether you are serving static assets like JavaScript bundles and images or streaming high-definition video, the physical distance between the user and the data source introduces latency that ...