Disadvantages of Decoupled
Posted: Sun Jan 26, 2025 5:35 am
However, there are drawbacks, besides the fact that using microservices will help make the architecture more agile, it also becomes more complex due to:
1. Architectural complexity
Each microservice is a stand-alone component on its own, and therefore the architecture relationship needs to be well designed to ensure it fits well with the other components. As the system becomes more distributed with microservices, it introduces an additional level of complexity due to more complex error handling, latency and network effective georgia mobile numbers list quality dependency, version control, and so on.
2. Microservices lifecycle
Since each microservice will have its own lifecycle, versions need to be well maintained and a strong architecture governance structure is required to ensure that different versions of microservices continue to work properly together as a whole.
3. DevSecOps
Since each service has its own autonomy in development and deployment, you need a high-quality DevSecOps implementation that supports the deployment, monitoring, operations, and maintenance of each of these services.
4. Data complexity
As data becomes distributed across multiple microservices, data needs to be interconnected through relationships, and overall data architecture and governance needs to be strengthened.
5. Interoperability
Microservices are built by different teams and depend on interactions between them. Therefore, it implies that there needs to be very close engagement between teams to ensure that specifications are designed and built correctly, not only during design, but also when changes are made later to avoid interoperability issues.
Decoupling vs Monolithic
A few newly added decoupled components can be easily monitored, but for larger numbers of decoupled components, the complexity grows exponentially due to overall architecture, data integration, and maintainability.
Conclusion
1. Architectural complexity
Each microservice is a stand-alone component on its own, and therefore the architecture relationship needs to be well designed to ensure it fits well with the other components. As the system becomes more distributed with microservices, it introduces an additional level of complexity due to more complex error handling, latency and network effective georgia mobile numbers list quality dependency, version control, and so on.
2. Microservices lifecycle
Since each microservice will have its own lifecycle, versions need to be well maintained and a strong architecture governance structure is required to ensure that different versions of microservices continue to work properly together as a whole.
3. DevSecOps
Since each service has its own autonomy in development and deployment, you need a high-quality DevSecOps implementation that supports the deployment, monitoring, operations, and maintenance of each of these services.
4. Data complexity
As data becomes distributed across multiple microservices, data needs to be interconnected through relationships, and overall data architecture and governance needs to be strengthened.
5. Interoperability
Microservices are built by different teams and depend on interactions between them. Therefore, it implies that there needs to be very close engagement between teams to ensure that specifications are designed and built correctly, not only during design, but also when changes are made later to avoid interoperability issues.
Decoupling vs Monolithic
A few newly added decoupled components can be easily monitored, but for larger numbers of decoupled components, the complexity grows exponentially due to overall architecture, data integration, and maintainability.
Conclusion