System-design

Explore how concurrency control, synchronization, coordination services, and consistency models ensure efficient and reliable operations in distributed systems.

Learn how to reduce latency and boost performance in distributed systems using data locality, load balancing, and caching strategies. These simple techniques can significantly enhance speed, scalability, and user experience.

Learn the difference between monitoring and observability in distributed systems. Understand metrics, logging, tracing, dashboards, and alerts with real-world examples and top tools like Prometheus, Grafana, and Jaeger.

Learn how to achieve high availability in distributed systems using simple strategies like redundancy, load balancing, distributed storage, and health monitoring to keep your services reliable and always online.

Understand 30 foundational system design concepts like APIs, load balancers, microservices, and caching. This guide simplifies complex terms for backend developers, system architects, and engineering students.