It sends a continuous stream of messages to a database, web server, log, or another target. The event sourcing pattern is good for applications that use real-time data. One advantage is that you can read data from the responder without affecting the data in the controller, but if the controller fails, you may lose data and need to restart the application. The controller-responder pattern divides the architecture into two components: The controller handles the data and distributes workloads, and the responder replicates data from the controller and generates results. It separates read and write activities to provide greater stability, scalability, and performance, but it requires more database technologies and therefore may increase costs. The command query responsibility segregation (CQRS) pattern handles the situation where database queries happen more often than the data changes. One advantage of this pattern is that data and network peripherals are centrally managed, however, the server is expensive. Examples include banking, file sharing, email, and the World Wide Web. The client-server pattern is a peer-to-peer architecture that is comprised of a client, which requests a service, and a server, which provides the the service. While it helps make systems more fault tolerant to prevent accidents, it also requires sophisticated testing and using an infrastructure-management technology like service mesh. ![]() The circuit breaker pattern minimizes the effects of a hazard by rerouting traffic to another service. If one piques your interest, click the link to learn more. To help you decide what's right for your project, I've rounded up 14 previous articles about architectural design patterns and summarized them below. There are many different types of enterprise architect design patterns you can tap into. They increase your efficiency, productivity, and speed optimize development costs improve planning and more. There are numerous advantages to using architectural patterns in your software designs. ![]() Take a Linux infrastructure planning assessment. ![]() An architect's guide to multicloud infrastructure.
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