DataDesign.io: Smart data solutions that empower schools.

Category: Education

Services: DevOps, Migration, AWS Managed service API gateway, API Gateway Configuration and Optimization, Cloud Architecture Design and Review, Managed Engineering Teams.

data-design
  • 99.9% data integrity rate 
  • 30% reduction in report generation time
  • 99.9% system uptime achieved
  • Reduced API latency by 40%

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.

Problem statement

  • 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. 
  • 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.
  • The client faced challenges in handling varying traffic loads and ensuring optimal performance for their APIs.
  • There was a need to establish strong security measures to protect sensitive data and control API access.
  • The client faced difficulties in maintaining different API versions and ensuring compatibility during updates.
  • They struggled with managing multiple backend services and data sources, resulting in complexity and maintenance challenges.
  • The client sought to optimize API resource allocation and usage for cost efficiency.

Proposed Solution & architecture

  • 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.
  • Our team leveraged Amazon API Gateway to seamlessly scale API resources and manage performance, ensuring consistent availability and efficient handling of traffic fluctuations.
  • Simform integrated Amazon API Gateway’s authentication and authorization features, implementing robust security protocols to safeguard API endpoints and ensure authorized access.
  • Our team leveraged Amazon API Gateway to seamlessly scale API resources and manage performance, ensuring consistent availability and efficient handling of traffic fluctuations.
  • We employed Amazon API Gateway to efficiently handle API versioning, ensuring seamless transitions and maintaining compatibility for Data Design’s clients.
  • Our experts employed Amazon API Gateway to implement effective rate limiting and resource management strategies, ensuring Data Design maximized API utilization while minimizing costs.

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.
  • Enabled a 60% reduction in operational costs by optimizing API Gateway resource allocation.
  • Reduced API latency by 40%, accelerating data delivery and enhancing real-time interactions.

Architecture diagram

data-design-arhitecture-diagram

AWS Services

  • AWS Lambda: AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. It’s used to execute code in response to events.
  • Amazon API Gateway: Amazon API Gateway played a pivotal role in enabling seamless data integration and connectivity. It facilitated the secure and efficient routing of data between various educational stakeholders, empowering institutions to deliver transformative data management and reporting solutions that benefit students, parents, and teachers while saving time and resources.
  • Amazon S3 (Simple Storage Service): Amazon S3 is a scalable storage service for object storage. It provides durable and highly available storage for various types of data.
  • AWS Glue: AWS Glue is a managed extract, transform, and load (ETL) service that automates the process of moving and transforming data from various sources to data warehouses, data lakes, and databases.
  • Amazon RDS (Relational Database Service): Amazon RDS is a managed relational database service that simplifies the setup, operation, and scaling of relational databases.
  • AWS EventBridge: AWS EventBridge is a serverless event bus service that simplifies the integration of various applications by routing events from different sources to different targets.
  • Amazon CloudWatch: Amazon CloudWatch is a monitoring and observability service that provides insights into your AWS resources and applications.
  • AWS IAM (Identity and Access Management): AWS IAM is a service that manages user identities and their permissions for accessing AWS resources securely.

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