Optimizing the retry mechanism for DynamoDB Stream triggers
Case study highlights how Infoservices collaborated with Iguroo client to boost DynamoDB Stream trigger retries, resulting in better reliability.
Executive Summary
iGuroo is an EdTech startup that aims to help students by providing personalized learning and career guidance services through digital means. iGuroo connects students, professionals, subject matter experts, coaches, and mentors under one platform and enables guided, specialized, personalized interactions transparently through real-time video capabilities. iGuroo aims to reach the remotest parts of India and other geographies and help the underserved student communities by bringing advisory, guidance, and training from regional and national experts in the language students prefer. iGuroo went live with their Mentor Program in March of 2023
Client: iGuroo is an EdTech startup that aims to help students by providing personalized learning and career guidance services through digital means.
Info Services helps customers implement scalable and cost-effective solutions tailor-made to fit their business needs, particularly in data & analytics solutions. Info Services brought niche capabilities required for streaming initiatives with extremely talented AWS solution architects and data engineers who successfully implemented the solution. Also, the company invests in technologies and employees to create a challenging environment that paves the way for professional growth for their associates.
AWS CI/CD Orchestration: CodePipeline Build: CodeBuild Deployment : CodeDeploy Serverless Compute: AWS Lambda Monitoring Cloud Management : AWS CloudWatch Artifact Package Management: AWS CodeArtifact Security Access Management: AWS IAM Database NoSQL Database: AWS DynamoDB Technology Frontend Framework: ReactJs Backend Runtime: NodeJs
Dynamically configured DynamoDB tables for seamless integration with OpenSearch. Tailored AWS Lambda functions through specialized YAML configurations, optimizing retry attempts. Enabled DynamoDB Streams on chosen tables, facilitating real-time processing with a dedicated Lambda function. Secured solution with a Lambda execution role, precisely tailored for optimal permissions. Defined OpenSearch index mapping for optimized data handling. Established comprehensive monitoring and logging, fine-tuning the solution based on data volume and access patterns. Achieved real-time search by efficiently capturing and indexing DynamoDB changes using scalable DynamoDB Streams and Lambda functions. Implemented a serverless architecture with Lambda, reducing operational overhead and enabling automatic scaling. Ensured seamless data compatibility between DynamoDB and OpenSearch through Lambda-based transformation. Established comprehensive monitoring and logging using AWS CloudWatch, optimized costs, and implemented robust security measures, including encryption and least privilege principles for IAM roles.