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Rooparani Karuti
Senior Test Specialist at HCL Software
About
Working as senior test specialist for Workload Automation-Plugin Factory team in HCL Software Lab, Bangalore. Having experience in both manual and automation test scenarios across various domains.
Posts by Rooparani Karuti
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Automation | August 28, 2020
Manage your AWS resources by using AWSCloudFormation with Workload Automation
Let us begin with understanding of AWSCloudformation what it is all about before moving to our AWSCloudformation plugin and how it is benefits to our workload automation users.   AWS CloudFormation provides a common language for you to model and provision AWS and third-party application resources in your cloud environment. AWS CloudFormation allows you to use programming languages or a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts. This gives you a single source of truth for your AWS and third-party resources. Coming to our AWSCloudformation, below diagram summarizes what is our plugin can perform, so our workload customers can make use of this to simplify their infrastructure management as well as easy to implement changes to infrastructure.   To give more clarity on its benefits let us understand with below example,   For a scalable web application that also includes a back-end database, you might use an Auto Scaling group, an Elastic Load Balancing load balancer, and an Amazon Relational Database Service database instance. Normally, you might use each individual service to provision these resources. And after you create the resources, you would have to configure them to work together. All these tasks can add complexity and time before you even get your application up and running.   Instead, you can create or modify an existing AWS CloudFormation template. A template describes all your resources and their properties. When you use that template to create an AWS CloudFormation stack, AWS CloudFormation provisions the Auto Scaling group, load balancer, and database for you. After the stack has been successfully created, your AWS resources are up and running. You can delete the stack just as easily, which deletes all the resources in the stack....
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