Understand the key differences between fault tolerance and high availability in system design. Learn how they impact reliability, downtime, cost, and when to use each based on your system's needs.
Learn how to build resilient distributed systems through fault tolerance, graceful degradation, retry strategies, error reporting, and chaos engineering to ensure seamless performance even during failures.
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.