This process can be resource intensive expensive

And inflexible. Maintainability: As the size of the codebase increases, it becomes more difficult to maintain the system efficiently. This problem is exacerbat when multiple developers work on the same codebase, which increases the potential for bugs and conflicts. Deployment: In this architecture, even minor code changes require the entire system to be reploy.  Resulting in increas downtime and the risk of errors. Technology lock-in: Monolithic architectures often rely.  Heavily on a single technology stack, making it difficult to transition to new technologies. Or approaches without completely rewriting the system. To overcome these problems, a new architectural style call

Service Oriented Architectur

Has emerg as a solution. Service Orient Architecture (SOA) Service Orient Architecture (SOA) is an architectural design concept that emerg in Guatemala Phone Number List response to the limitations of monolithic architectures. With this approach, the functionality of a software system is organizas a set of independently deployable services that interact with each other through well-defin interfaces. This design style allows applications to be built as loosely coup modular components that can be reus and combinin a variety of ways. The main benefits of a service-orient architecture are: Scalability: SOA enables greater horizontal scalability as individual services can.

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Independently scale to meet demand

Maintainability The modular nature of services makes it easy to isolate and fix problems, and upgrade individual components without compromising the entire system. Reuse: SOA promotes the creation of reusable services that can WS Numbers be  across multiple applications, rucing duplication of effort and promoting consistency. Flexibility. B on standardiz interfaces, SOA makes it easy to switch underlying technologies, introduce new features, or replace existing services. Despite the benefits of SOA, implementing this architectural style also comes with a number of challenges: Increas difficulty. The distribute nature of SOA can make it difficult to discover, coordinate, and interact with services. Performance overhead. Messaging and data serialization between services can result in higher latency and lower performance than traditional monolithic architectures.

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