Implementing a scalable and elastic computing environment based on Cloud Containers

TL;DR

This paper presents a scalable, elastic cloud container architecture using Docker and load balancers, enabling cost-effective migration of legacy systems to modern, fault-tolerant infrastructures.

Contribution

It introduces a cost-efficient, scalable architecture based on the 'Pilot Light' topology with load balancing and autoscaling for easy migration and management of legacy systems.

Findings

Containers enable rapid infrastructure expansion.

Load balancers facilitate horizontal autoscaling.

The approach simplifies maintenance for small and medium organizations.

Abstract

In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy infrastructure to something modern, reliable and scalable. We propose an architecture that has an excellent relationship between the cost of implementation and the benefits it can bring, based on the "Pilot Light" topology. The services are reconfigured inside small docker containers and the workload is balanced using load balancers that allow horizontal autoscaling techniques to be exploited in the future. By generating additional containers and utilizing the possibilities given by load balancers, companies and network systems experts may model and calibrate infrastructures based on the projected number of users. Containers offer the opportunity to expand the infrastructure and increase processing capacity in a very short time. The proposed approach results in an easily maintainable and fault-tolerant system that could help and simplify the work in particular of small and medium-sized organisations.