
A REVIEW OF EXISTING CLOUD AUTOMATION TOOLS
Author(s) -
J. Prassanna,
Anjali R Pawar,
Neelanarayanan
Publication year - 2017
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2017.v10s1.20519
Subject(s) - cloud computing , downtime , automation , server , computer science , scalability , high availability , process automation system , cloud testing , distributed computing , reliability (semiconductor) , cloud computing security , engineering , operating system , power (physics) , mechanical engineering , physics , quantum mechanics
Many enterprises are running distributed applications on their on-premise servers. However, if load on those servers changes unexpectedly, then itbecomes tedious to scale the resources and requires skilled human power to manage such situations. It may increase the capital expenditure. Hence,many companies have started to migrate their on-premise applications to the cloud. This migration of the applications to the cloud is one of the majorchallenges. To setup and manage the growing complex infrastructure, after migrating these applications to the cloud are really a time-consuming andtedious process which results in downtime. Hence, we need to automate this environment. To achieve architecture for the distributed systems whichsupport security, repeatability, reliability, and scalability, we require some cloud automation tools. This paper summarizes tools such as Terraform andcloud formation for infrastructure automation and Docker and Habitat for application automation.