Designing High Availability in Distributed Systems

In today's digital landscape, users expect applications to be accessible around the clock, making system downtime incredibly costly. Understanding how to design and maintain high availability is a fundamental skill for any developer or system architect working with modern infrastructure. This text-only course guides you through the essential concepts of availability in distributed environments. You will transition from understanding basic uptime metrics to confidently analyzing and designing fault-tolerant systems that can withstand network partitions, hardware failures, and traffic spikes. What you'll learn: - Understand foundational availability metrics including SLA, SLO, and SLI calculations. - Analyze common failure modes in distributed networks and how to mitigate them. - Apply redundancy and replication strategies to prevent single points of failure. - Implement modern fault-tolerance patterns such as circuit breakers and rate limiting. - Explore basic consensus concepts and replication trade-offs in distributed databases. - Evaluate system resilience using modern chaos engineering principles and written self-assessment scenarios. The journey begins with key terminology and foundational mathematical definitions of availability before moving into practical architectural patterns and modern reliability strategies. Through clear explanations and written case studies, you will learn how to design systems that remain operational under stress. This course is designed for beginner software engineers, aspiring system architects, and tech enthusiasts who want to build a solid foundation in distributed systems without needing prior specialized experience. Start reading today to master the architectural patterns that keep modern applications running smoothly.