Large Scale PDF Generation and Reporting on AWS with 80% savings
About Reliance Mutual Fund
Reliance Mutual Fund (RMF) part of Reliance Nippon Life Asset Management Ltd (formerly Reliance Capital Asset Management Limited) is one of India's leading mutual funds, with Average Assets Under Management (AAUM) of `1,58,408 Crores (January 2016 - March 2016 Quarter Q4) and 59.14 lakhs folios (as on 31st March 2016).
Reliance Mutual Fund (RMF) is amongst top Mutual Funds in India with over six million investor folios and growing rapidly. As part of their going green initiative, RMF planned to send consolidated account statements to their investors every month via email. These would be sent over email as password protected PDFs. Since there was a time criticality to process and send these documents they found their inhouse infrastructure inadequate to meet their requirements.
cmpute is a general purpose data processing platform that uses AWS for fault-tolerant and interrupt tolerant workloads.
“We realised that we required a scalable infrastructure that could factor our growth while
also keeping our infrastructure overhead to a minimum. cmpute was the obvious choice
as it provided complete cloud abstraction and its spot instance management made running
our workload on AWS very cost effective” says Chandra Gupta, Chief Technology Office,
cmpute's intelligent learning algorithm identifies the right instance types (from over 50 types that AWS provides) for the kind of job and automatically bids and runs AWS EC2 Spot instances within customer's AWS account (inside a VPC as well)
As a firm considering to use Amazon Web Services, RMF immediately realized the cloud abstraction and cloud cost optimization benefits that cmpute brought. In addition, RMF appreciated the responsiveness and support provided by the cmpute team in helping them take advantage of the cloud while also adhering to all their compliance requirements. “cmpute is a great choice for companies considering to take advantage of the cloud while not having to deal with the overhead to handle the complexities” says Chandra