Intelligent CXO Issue 15 | Page 38

INDUSTRY UNLOCKED
“ The first challenge was migrating our huge archive of bills and we had no trouble doing that using AWS services ,” said Hamilton .
“ After that success of moving terabytes of data overnight , we were no longer cloud-shy .” operate and scale a relational database in the cloud – to run one of seven relational database engines .
One of the company ’ s largest collections of data is its PDF bills archive . On AWS , it could costeffectively store bills from as early as 2005 .
By the end of 2021 , JPS had increased its cloud presence by over 90 % as a result of its newfound confidence in AWS .
Improving elasticity and reducing costs on AWS
“ Managing on-premises databases proved to be cumbersome and , at times , expensive ,” said Hamilton . “ Migrating to AWS has minimised time spent on maintenance and reduced costs by more than 40 % compared to our customerbased solutions .”
JPS uses Amazon Elastic Compute Cloud ( Amazon EC2 ), a web service that provides secure , resizable compute capacity in the cloud , to host API services for its web portal and app and to run other mission-critical applications . Running applications in the cloud has resulted in massive cost savings because it has virtually eliminated the need to reinvest in on-premises infrastructure and to pay licensing costs .
JPS also migrated its database to Amazon Relational Database Service ( Amazon RDS ) – a managed service that makes it easy to set up ,
A key part of JPS ’ s successful transition has been AWS Instance Scheduler , which can be used to configure schedules for Amazon EC2 and Amazon RDS instances .
“ Deploying the mobile app in the cloud was a game changer ,” said Hamilton . “ We ’ d allotted one week for the deployment of supporting infrastructure , but we were able to complete the process in less than one day .”
JPS also found that most of its costs came from non-production environments .
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