Challenges In Implementing Microservice Architecture
The art of breaking down the old model of building one large application is to develop them into microservices where a “monolithic” application is developed that form a new model where each one of them is charged with a very specific task working together with specialized, cloud-hosted sub-applications. The application load is distributed by microservices, which helps in ensuring stability with replicability, and the scalable services interact with each other.
The new software modules are sorted into logical working groups by the engineers who follow patterns of planned decomposition. When breaking a monolithic app apart, deconstructing an application into modules is the right approach.
Let’s look at the challenges while implementing Microservices
The microservices realize their power and possibilities, which on an ongoing basis come with the following areas that address their design and management:
- Service tracking: It is not a single stop to tweak monolithic apps as the services are distributed across multiple hosts and are hard to track, and the need for inventorying and quick access exist to collaborate microservices that are scattered throughout your environment.
- Rapid resource scaling: Far fewer resources are consumed by each microservice than by monolithic applications; however, without proper management, rapid growth in the number of microservices in production can be seen as your architecture scales, which leads to a lot of little hosts who consume as much computing power and storage or more as a monolithic architecture.
- Minimal resourcing inefficiency: There is always a bottom limit to the resources you can assign to any task if you are using the Amazon Web Services (AWS) environment, but microservices are very small, requiring only a portion of a minimal EC2 instance which results in wasted resources and costs that exceed the actual resource demand of the microservice.
- The complexity of increased deployment: A wide array of programming languages can be used to develop microservices that are standalone; every language has its own libraries and frameworks on which it is dependent, so a completely different set of libraries and frameworks are required by these multiple programming languages that are in play. This makes deployment a complex consideration as it grows resource overhead and costs.
These obstacles, however, are not insurmountable, and this is where container technology like Docker steps in and fills the existing gaps.
Hope this was helpful.