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International Organization Moved To AWS Cloud Case Study
Case Study

A Large International Organization Moved to AWS Cloud for Improving Security and Scalability

Client

The client leads international efforts to defeat hunger. This organization is a source of knowledge and information, and helps developing countries in transition, modernize & improve agriculture, forestry and fisheries practices, ensuring good nutrition and food security for all.


Industry

Non-Profit Organization

AWS Cloud Migration Case Study

Challenges

The client had undertaken a pilot project of application FAM catalog solution which they wanted to host on cloud. They wanted an automated deployment using AWS Cloud Formation services, so that similar implementation can be repeatable across global in different countries.

The client needed the application to be stateless and all static configuration of web/app and actual data needed to be on shared storage, so that any termination of server would not impact configuration and to avoid the risk of losing data.

Solution

Datamatics team conducted an exploratory analysis to study FAM Catalogue application requirements. Datamatics implemented AWS Services for IAAS with optional components such as Application load balancer, Ec2, EFS for storage for application configuration and storing files, Cloud Watch for provisioned resources monitoring, KMS for disk encryption and parameter store for storing credentials of RDS Arora Database for connection.

Datamatics also configured the web app and database in the private subnet to allow seamless communication internally. Implemented end-to-end security by adhering to the best practices of AWS Infrastructure Setup under the compliance of NIST (National Institute of Standards and Technology)

Impacts

Auto healing with DevOps - Cloud Case Study

Auto Healing With DevOps

Release process was eased using DevOps capabilities and auto healing enabled availability of application to meet 99.99% SLA

Scalability - AWS Cloud Case Study

Scalability

The solution facilitated auto scaling on servers to meet growing demands of end users connection, servers scaling down during non-production hours support substantial cost saving.