Mapreduce Design Patterns

As thousands of developers focus on constructing reliable, well-performing, and secure APIs, there's immense demand for a practical, up-to-date, technology-and-platform-independent guide to API design. API Design Patterns fills this gap. A team of expert authors cut through the complexity of API communication and message content, presenting rich and complete design guidelines and heuristics for engineering APIs sustainably and specifying them clearly. API Design Patterns covers the entire API lifecycle, from launching projects and establishing business goals through defining architecturally significant requirements, elaborating and implementing designs, and documentation. It illuminates patterns drawn from both public web APIs and proprietary application development and software integration projects the authors have led or participated in. You'll find a complete library of concrete, actionable design patterns, each formatted consistently to explain context, forces, problem, solution, d

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming