An in-depth guide to understanding REST (Representational State Transfer) architecture, covering core concepts, key elements of API design, best practices, advanced topics, and tools & technologies for building RESTful APIs. This article explores the principles that make REST a widely adopted architecture for networked applications and provides practical examples, implementations, and tips for designing scalable and maintainable APIs.
Queues are fundamental components in distributed systems, helping manage tasks and data efficiently. This article explores different types of queues, their applications, and strategies for handling queue-related issues.
Learn how to safeguard clients from server failures by understanding synchronous and asynchronous clients, circuit breakers, fail-fast design principles, bulkhead patterns, and shuffle sharding. This comprehensive guide covers practical implementations and real-world examples to ensure your applications remain robust and resilient.
Chaos Engineering is the discipline of experimenting on a distributed system to ensure it can tolerate unanticipated failure conditions. This way, organizations can pre-identify and correct issues to build more reliable and fault-tolerant systems. The fundamental principles, benefits, tools, and best practices about how to carry out chaos engineering are defined within this paper. Real-world examples have been added to guide you in implementing this powerful approach to improve system reliability.
Managing high traffic for ticket sales requires a strategic approach. By combining load balancing and queue-based systems, you can ensure that the system remains responsive and efficient, even under heavy loads. This method provides a scalable and reliable way to handle large volumes of user requests during peak times.