Scientific Jugaadfunda is an initiative designed to create an innovation ecosystem that connects young graduates, academic institutions, industry experts, investors, and government bodies.
The platform focuses on:
Transforming youth from job seekers to job creators. Engaging unemployed graduates in building sustainable, affordable, and saleable solutions. Enabling all stakeholders to collaborate and solve real-world challenges using technology. By emphasizing product design and manufacturing, Scientific Jugaadfunda aims to nurture entrepreneurial mindsets, skill development, and solution-driven innovation that aligns with industry expectations.
The Challenge: The customer faced several roadblocks while managing their web applications:
Inefficient Infrastructure – Applications were running on Windows servers, leading to higher costs and resource inefficiencies. Manual Deployments – Each weekly release required taking AMI snapshots, updating launch templates, and adjusting Auto Scaling groups manually. Need for CI/CD Automation – Required a cloud-native continuous integration pipeline to eliminate dependence on on-prem build servers. Scalability & Performance – Applications needed load balancing, faster content delivery, and auto-scaling for high availability.
The Solution: Pentagon designed and implemented a modern DevOps-driven AWS architecture for Scientific Jugaadfunda:
Environment Setup – Created UAT, Dev, and Prod environments using CloudFormation templates. Load Balancing & Content Delivery – Deployed Application Load Balancer (ALB) with Auto Scaling groups and integrated AWS CloudFront CDN for reduced latency. Configured Route53 for domain routing. Security Reinforcement – Applied WAF for bot control, configured S3 with Origin Access Controls, used AWS KMS for encryption, and enforced MFA/IAM policies for controlled access. DevOps & CI/CD –
Migrated source code from GitHub to AWS CodeCommit with branch-level restrictions. Implemented CodePipeline + CodeBuild + CodeDeploy for automated builds and deployments. Adopted Blue/Green deployment for backend services, with load balancer health checks. Deployed frontend builds directly to S3. Secrets Management – Used AWS Secrets Manager to securely store and retrieve DB credentials within applications. Monitoring & Backup – Configured CloudWatch for system monitoring, CloudTrail for auditing, and AWS Backup for policy-driven backup management.
AWS Services Used:
Amazon EC2 Amazon RDS (MySQL) Auto Scaling Groups Elastic Load Balancer (ALB) Amazon VPC Amazon S3 Amazon CloudFront Amazon Route53 Amazon EBS Amazon KMS AWS WAF AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline AWS CloudWatch & CloudTrail AWS Secrets Manager AWS CloudFormation
Benefits
30% Cost Reduction
Migrating from Windows to Linux servers lowered infrastructure expenses significantly.
Automated CI/CD
CodePipeline eliminated manual deployments, accelerating release cycles.
Improved Scalability & Availability
Auto Scaling ensured applications stayed resilient under varying loads.
Stronger Security
IAM policies, MFA, WAF, and KMS enhanced compliance and data protection.
Faster Builds
CodeBuild removed dependency on on-prem build servers and cut build time.
Streamlined Operations
Blue/Green deployments and monitoring tools reduced downtime risks and improved reliability.
