Sreenidhi Education Group Application Deployment on AWS
About Sreenidhi Education Group
The Sreenidhi Institute of Science and Technology (SNIST) is one of the top engineering colleges in Telangana, India. Established in 1997, it is affiliated with Jawaharlal Nehru Technological University, Hyderabad (JNTUH). In 2010, SNIST became the first college under JNTUH to gain autonomous status.
SNIST runs undergraduate and postgraduate programs and is recognized for its research activity. The institution is accredited by NBA of AICTE and has also received support from the World Bank under TEQIP.
The Challenge
Sreenidhi wanted to improve how it connected with students, parents, and faculty online. Education needed to be easily available without the limits of on-premise infrastructure.
The institute required a solution that could:
Host applications without heavy maintenance
Offer high availability and reliability
Reduce costs while scaling with demand
Handle workloads with low latency
The existing setup made these goals difficult. AWS was selected because it offered scalability, affordability, and strong security.
Why AWS
AWS provides managed services that reduce the need for manual infrastructure management. Its serverless solutions allow institutions like SNIST to focus on applications, not servers.
Key reasons for choosing AWS:
Pay-as-you-go model reduced costs
Automatic scaling handled growing traffic
Serverless services simplified deployment
Global infrastructure ensured reliability
The Solution
Teleglobal designed and deployed a serverless architecture on AWS for SNIST. The solution included multiple AWS services working together for secure, scalable, and reliable application deployment.
Core Services Used
AWS AppSync: Enabled flexible APIs with GraphQL to fetch, update, and manage data securely.
AWS Amplify Framework: Helped developers build, connect, and manage mobile and web applications.
AWS Amplify Console: Provided a Git-based workflow for CI/CD and hosting.
Amazon API Gateway: Managed REST APIs at scale with security and monitoring.
AWS Lambda: Allowed applications to run code on demand without servers.
AWS Fargate: Managed container workloads without server provisioning.
Amazon Cognito: Handled user authentication and authorization.
Amazon DynamoDB: Delivered low-latency, millisecond response times for transactions.
Amazon DocumentDB: Supported document-based workloads with scalability and high availability.
Security and Monitoring
SNIST needed strict controls for security and compliance. Teleglobal implemented:
AWS CloudTrail: Enabled across regions to log all account activity, stored in encrypted S3 buckets.
AWS KMS: Managed encryption keys for data security.
SSL/TLS: Secured all endpoints and data transfers.
Role-based IAM policies: Granted least-privilege access to users and services.
For monitoring:
Amazon CloudWatch tracked workload metrics and health.
Nagios and ELK stack provided advanced monitoring, logging, and dashboards.
CloudWatch agents collected server memory and performance data.
CI/CD and Automation
To streamline deployments, SNIST used:
Git for version control
AWS CodeBuild and CodePipeline for automated build and release pipelines
CloudFormation templates to provision infrastructure as code
This reduced manual errors and improved release speed.
Data Security and Backup
Data was secured and recoverable:
Granular recovery for business-critical applications like Microsoft Exchange
Disaster recovery (DR) setup with defined RPO and RTO objectives
S3 versioning and backups protected against accidental deletions
The setup allowed SNIST to recover data quickly in case of failures.
DynamoDB for Performance
Amazon DynamoDB was central to the architecture. It provided:
Low latency for student and faculty applications
High availability for workloads like payment processing and order services
ACID transactions for consistent operations across multiple tables
Adaptive capacity to handle sudden workload spikes without throttling
Secondary indexes to optimize queries and reduce costs
This ensured smooth user experiences with high performance at scale.
Benefits
The AWS deployment delivered multiple advantages for Sreenidhi:
High availability for applications across user groups
Scalability to handle growing student numbers
Lower costs with pay-per-use serverless services
Faster deployments through automated CI/CD pipelines
Enhanced security with encryption, IAM policies, and monitoring tools
Better performance with DynamoDB and serverless compute
Continuous monitoring with CloudWatch and third-party tools
Outcomes
Improved student and parent engagement through reliable applications
Reduced operational costs with serverless infrastructure
Faster issue resolution with CloudTrail, CloudWatch, and automated scripts
Secure workloads with role-based access and encryption
Scalable infrastructure to meet future academic and research demands
Conclusion
By moving application deployment to AWS, Sreenidhi Education Group gained a secure, scalable, and cost-effective platform. The architecture used AWS serverless solutions, monitoring tools, and CI/CD pipelines to ensure high availability, better performance, and strong security.
This cloud transformation not only reduced infrastructure management overhead but also improved the online experience for students, parents, and faculty.
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