As microservices break applications into different micro-applications, many developers request more server nodes for deployment. In order to manage microservices properly, developers tend to deploy one microservice per VM, which further drives down the resource utilization. In many cases, this results in an overallocation of CPUs and memory.
In many deployments, the high-availability requirements of microservices force engineers to add more and more service instances for redundancy. In reality, though it provides the required high availability, this will result in underutilized server instances.
In general, microservice deployment requires more infrastructure compared to monolithic application deployments. Due to the increase in cost of the infrastructure, many organizations fail to see the value of microservices:
In order to address the issue stated before, we need a tool that is capable of the following:
Containers solve an important issue in this context. Any tool that we select with these capabilities can handle containers in a uniform way, irrespective of the underlying microservice technologies.