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A data center has hundreds of servers and storage devices running on virtual machines that can be deployed and migrated over servers as per the requirement. If each server uses local storage, migration of this storage and restoration is mandatory. An attempt to organize and track storage throughout the data center is quite tedious. Using a dedicated storage system like a storage array, it possible to collectively monitor and manage such a network. A storage area network is essentially a network dedicated to storage devices. A storage area network can interconnect devices in all its layers, therefore improving storage availability. Interconnecting all elements in SAN also reduces the chances of a single point of failure. Using the storage devices collectively improves their utilization. SAN offers to manage and maintain all devices in the network. Although SAN is beneficial, it has drawbacks when configuring, monitoring, and managing components in a large-scale network. This paper consolidates the problems associated with SAN and offers possible solutions to overcome them.

The Microservices architectural design is widely used today which helps one to build an application as a set of services that can be developed and deployed independently. Each service is independent and gives a set of functions or features that can be individually serviced. In spite of the fact that microservices design has been advanced as the fix just for all cutting-edge application development ailments and is viewed as the replacement for API first application advancement, its execution needs undeniably more idea and practicality. In order for these independent services to work together towards a common goal, we need something that will stitch them together because they cannot work in complete isolation and need to share data and interact with one another. There are two ways to do this – microservice choreography and microservice orchestration. This paper tries to explain the difference between choreography and orchestration of microservices, and why the latter is better. We will then discuss the orchestration of microservices using an open-sourced microservices orchestrator – Conductor.