The service-enablement has been going on successfully for a number of reasons and objectives. Every system (physical, mechanical, electrical, and electronic) is systematically enabled with easily consumable interfaces. RESTful interfaces and services have become pervasive due to their simplicity. In the recent past, with the surging popularity of the web, enterprise, mobile, and cloud applications, the REST idea has clearly captured a lot of attention and attraction. It has been quickly discovered that splitting out business functions into reusable services is very effective; however, at the same, it introduces a risk point. This means that every time a service gets updated, then all the other services that make use of the updated service have to be subjected to a variety of formal verifications and validations. This is because services inevitably have to find, bind, and leverage other services and their unique capabilities and data points to be right and relevant. This unbridled sharing can happen locally or with remote ones over networks.

Basically, the microservices approach, in a nutshell, dictates that instead of having one giant code base that all developers touch, that often becomes perilous to manage, it is better to have numerous smaller code bases managed by small and agile teams that sit across different time zones. Every code base has to interoperate through well-intended and defined APIs. Every code base is small in size but also totally decoupled from one another. The dependency is gone totally, resulting in better security, reliability, simplicity, scalability, availability, and so on. The code base is termed as microservices. The motives for the unprecedented take off of microservices are definitely many; specifically, the granular scaling, easy manageability, maneuverability, reconfigurability and extensibility, strong security through API access, the appropriateness of containers as the optimal runtime environment, and so on, are the widely articulated ones. Microservices can be independently deployable, horizontally scalable, supported by any backend databases (SQL, NoSQL, NewSQL, In-Memory, and so on), and built by any programming languages.

Docker containers are the best fit for hosting microservices. This intentional containerization of single services or processes makes it very simple to manage, update, and scale out these services. Now with the number of microservices in any IT environment growing very rapidly, the management complexity is to zoom. This means that the challenges include how to manage single services in a cluster and how to tackle multiple services spread across distributed and different hosts. Kubernetes, MaestroNG, Mesosphere, and Fleet spring up to answer this growing need.

In summary, one prominent reason is the onset and rollout of microservices in droves and this has brought out the indispensability of containers. The various targets expected out of microservices are being fulfilled by stuffing microservices within containers. This interesting combination is bound to play a very stellar role for the IT teams of worldwide enterprising businesses. Practically speaking, the widespread usage of the containerization tenet has laid a stimulating foundation for the explosion of purpose-specific as well as agnostic microservices.