DataDesign.io: Empowering schools with smart data solutions for seamless communication and efficient management.
Services: DevOps, Migration, Cloud Architecture Design and Review, Managed Engineering Teams.
Data integrity rate.
Reduction in report generation time
About Data Design.io
DataDesign.io is the visionary ally that empowers educational institutions with ingenious data management and reporting solutions. Their transformative offerings not only unlock precious time and vitality but also foster seamless connectivity among the triumphant trio of students, parents, and teachers.
- Compatibility and Portability: The client’s infrastructure was originally designed and configured to operate within a different cloud environment, posing compatibility and portability concerns during migration to AWS.
- Data Transfer and Migration: Moving a significant volume of data from one cloud service to AWS presented logistical and technical complexities like Data consistency and integrity, Compatibility and data format differences, Security and compliance, Application downtime and service disruption.
Proposed Solution & architecture
Solution:- We carefully analyzed the existing infrastructure, identified any incompatibilities, and implemented necessary modifications and adaptations to ensure seamless integration with AWS. This allowed us to overcome potential hurdles and ensure a smooth transition.
Data consistency and integrity: Robust data validation mechanisms and error handling techniques were implemented to maintain data integrity throughout the migration process.
Compatibility and data format differences: By performing data transformation and conversion, we ensured seamless compatibility between different data formats and AWS services.
Security and compliance: We implemented stringent security measures and adhered to regulatory requirements to safeguard data confidentiality, integrity, and availability during the migration.
Application downtime and service disruption: Meticulous planning and scheduling minimized application downtime and service disruptions, ensuring uninterrupted business operations.
By leveraging AWS data migration tools and services like the AWS Database Migration Service, we successfully executed a seamless and efficient data migration, minimizing downtime and data loss.
Metrics for success
- Data Integrity: Ensured a 99.9% data integrity rate during the migration process, minimizing the risk of data corruption or loss.
- Cost reduction: We helped the client in successfully reducing costs by over 75% by eliminating the need for third-party services to generate reports, resulting in significant savings in development expenses.
- Application Uptime: Maintaining 99.99% application uptime during the migration, minimizing disruptions and ensuring continuous availability for end-users.
- Demonstrating a 30% improvement in report generation for the client after migrating to AWS, enabling efficient scaling of data-related operations.
- Amazon S3: With features like industry-leading scalability, data availability, security, and performance, we used it to store and retrieve data for frontend and backend applications.
- Amazon Aurora:- Database storage solution , we used for database compliance purposes also.
- Amazon CloudWatch:- We used AWS cloudwatch to generate alarms and for application log generation and as a monitoring solution to monitor the resource utilization metrics.
- Amazon CloudFront:- We used cloudfront to serve static content.
- Amazon Route53:We used Route53 in this project for the DNS management of our project, which connects user requests to internet applications running on AWS.
- AWS Glue: We used this to read school data files from s3 bucket and load data in Database
- Amazon Elasticache for Redis: We use a fully managed caching platform that makes it easy to deploy, manage, and scale our application’s high-performance distributed in-memory data store cluster.
- AWS Secrets Manager: We use AWS secrets manager to ensure secure storage and transition of our environment variables like database credentials, API keys, and other sensitive data.
- AWS Lambda:We harnessed the power of Lambda as a serverless application framework to seamlessly develop APIs and execute scheduled cron jobs.
- AWS API Gateway: We used API Gateway for creating web APIs that route HTTP requests to Lambda functions.
- AWS SQS: We leveraged SQS to efficiently manage and process a large volume of email and text messages in bulk.
- AWS SES: We utilized the robust capabilities of AWS SES to effortlessly and reliably send emails.
- AWS Pinpoint:We utilized the robust capabilities of AWS Pinpoint to effortlessly and reliably send text.
- AWS CloudTrail: AWS CloudTrail enables auditing, security monitoring, and operational troubleshooting by tracking user activity and API usage. The AWS CloudTrail logs, continuously monitors, and retains account activity related to actions across our AWS infrastructure, Thus giving us control over storage, analysis, and remediation actions.
- AWS SNS: We used SNS as a versatile solution to effectively manage and process email and text message replies.
- AWS DMS: We used AWS Database Migration Service to facilitate smooth data migration.