The previous chapter described patterns for grouping collections of containers that are scheduled on the same machine. These groups are tightly coupled, symbiotic systems. They depend on local, shared resources like disk, network interface, or inter-process communications. Such collections of containers are important patterns, but they are also building blocks for larger systems. Reliability, scalability, and separation of concerns dictate that real-world systems are built out of many different components, spread across multiple machines. In contrast to single-node patterns, the multi-node distributed patterns are more loosely coupled. While the patterns dictate patterns of communication between the components, this communication is based on network calls. Furthermore,
many calls are issued in parallel, and systems coordinate via loose synchronization rather than tight constraints.
Introduction to Microservices
Recently, the term microservices has become a buzzword for describing multi-node distributed software architectures. Microservices describe a system built out of many different components running in different processes and communicating over defined APIs. Microservices stand in contrast to monolithic systems, which tend to place all of the functionality for a service within a single, tightly coordinated application. These two different architectural approaches are shown
in Figures II-1 and II-2.
Figure II-1. A monolithic service with all functions ...
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