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.
Discover essential strategies and concepts to build reliable, scalable, and fast systems. Learn about handling common problems in distributed systems, designing robust architectures, and ensuring efficient message delivery.
This guide covers strategies for delivering data at a large scale, focusing on message consumption, partitioning, request routing, rebalancing partitions, and consistent hashing. It explores how to handle large amounts of data efficiently, ensuring scalability, performance, and reliability in software systems.
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.
Discover how to choose the best database for your project by understanding your data requirements, scalability needs, and operational factors. Explore real-world examples to see how different databases excel in various scenarios.
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.