This quick serve restaurant (QSR) is a household name, with thousands of corporate and franchise stores across the globe. As a leading quick serve purveyor, this company is publicly traded on the NYSE and is part of the S&P 500. As a large enterprise, this corporation asked the Flux7 team if they could help speed developer outcomes for faster time to market.

This goal manifested itself in a project where Flux7 helped the QSR create one-click automated installations of various products, including Amazon Redshift, through AWS Service Catalog which helped make development more efficient and productive through automation that minimized process overhead. The last step of the process was to deploy and provision a Redshift warehouse service cluster as the data analytics team also wanted to use the AWS Service Catalog.

The first two phases of the project had Flux7 and its QSR customer setting up AWS Service Catalog with eight products of two kinds: the first was an iis-stack which consisted of a Windows and and an MsSQL instance. The second was a Tomcat stack which consisted of a Linux instance with RDS MySQL in the backend. In both cases, the application was pre-installed automatically: Tomcat on Linux and ISS in Windows. All products were tested and launched in the correct environments, with all of the customer’s pre-defined controls, and standard tags, within minutes with minimal human effort.

To deploy and scale resources based on Amazon Redshift, the teams first needed to launch the Amazon Redshift cluster. Download the case study using the form at the right to read how Flux7 achieved this.



Why Flux7?

Enterprises gain fast time to value from Flux7 cloud implementation, automation and DevOps consulting services and solutions. Bring ideas to life and shorten time to market with modern IT systems and workflows that scale, secure and increase the efficiency of technology service delivery. Flux7 Premier AWS Consulting Partners provide insight and expertise from 300+ DevOps projects.







Download the Amazon RedShift Case Study: