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Case Study

Nonprofit Ensures High Availability and Scalability for Mission-Critical Workloads

About the Customer

Our customer is an independent nonprofit organization that envisions a world where natural resources foster fair, prosperous, and sustainable societies. They generate knowledge for policy reforms in resource-rich nations and share their expertise with policymakers, accountability actors for better international norms. Moreover, they partner with government and civil society reformers to implement fair policies based on evidence and citizens’ priorities in developing countries for impactful change.

The Nonprofit Faced the Following Business Challenges

Automating their CI/CD (Continuous Integration and Continuous Delivery) workflows to ensure consistent and timely deployments.
Optimizing AWS environment to maximize cost-efficiency without sacrificing performance. Lowering costs was crucial to meet budget constraints.
Ensuring enhanced scalability and availability of their systems, applications, and data to maintain uninterrupted service delivery for users.
They were in search of a solution that could optimize performance and costs, while maximizing efficiency on AWS to accelerate their noble mission.

Cloudelligent Empowers the Nonprofit to Drive Meaningful Global Change


Extracted the nonprofit organization’s unique cost, security, performance requirements.


Successfully deployed a highly performant, available, and scalable infrastructure.


Successfully deployed a highly redundant, scalable, and cost-optimized infrastructure.


Conducted an in-depth analysis of their architecture, applications, and workloads.


Automated CI/CD pipelines, from code changes to ECS updates for high application availability.

Key Amazon Web Services Used to Address Customer Challenges


How Cloudelligent Successfully Tackled the Nonprofit’s Challenges


Integrated AWS CodePipeline to ensure code quality, accelerate development cycles, and support an automated release pipeline for applications.


Deployed Room to Read's application on Amazon ECS (Fargate) within their production environment.


Divided their network into 2 Availability Zones for redundancy and high availability. If one Zone fails, traffic seamlessly routes to the other.


Deployed a cross-regional disaster recovery environment that contains a read replica of Amazon RDS. Backups between regions are enabled.


Deployed AWS CodeBuild to update the ECS task definitions with the new Docker images. Also, re-provisions the tasks with the latest application version.


Implemented an Autoscaling Group around the application server to facilitate dynamic scaling for increased capacity and recovery in case of failure.


Provide Managed Cloud Services for proactive issue identification, dedicated support to their team, and communication with stakeholders.


Provide Managed Cloud Services for proactive issue identification, dedicated support to their development team, and consistent communication with product stakeholders.

Results & Benefits

The Value of Our Customized and Well-Architected Solutions

Harnessing the expertise of our skilled team, we resolved the nonprofit organization’s challenges and helped them unlock a multitude of advantages.

Accelerated Build and Deployment Timeframes

By implementing automated CI/CD pipelines with services such as AWS CodeBuild and AWS CodePipeline, Cloudelligent optimized the customer’s deployments. This helped them to reduce time-to-market, increase productivity, and foster innovation.

Cost Optimization

Our team conducted an in-depth evaluation of their existing AWS environment and then rightsized any underutilized resources. We also eliminated any zombie assets and applied cost optimization principles to the customer’s infrastructure, resulting up to 20% reduction on their AWS bill.

Enhanced Scalability and Availability

Cloudelligent implemented Autoscaling Groups to dynamically scale up the application server during high demand or Availability Zone failures to ensure uninterrupted service. Additionally, we established a cross-regional disaster recovery setup for Amazon RDS instances, enhancing data redundancy and availability.
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