Use case
Reducing Data Synchronization Delays by 83% with AWS Lambda
- Vishalkumar Chaurasia
About the Customer
The customer is a leading company in the fresh produce industry, specializing in providing quality assessments for fruits and vegetables. Their technology-driven platform enables advanced evaluation and insights, enhancing supply chain operations and quality assurance processes worldwide.
Customer Challenge
The customer faced significant challenges with their data synchronization system between MongoDB Atlas and Snowflake. Their existing solution struggled with high latency, inconsistencies in real-time data updates, and manual interventions. These challenges severely impacted decision-making, increased operational overhead, and reduced scalability as data volumes grew.
The synchronization delay, often exceeding 30 minutes, resulted in outdated insights, limiting the ability to act on real-time data. As data errors became frequent, the reliability of downstream analytics also declined, necessitating a robust, scalable, and automated solution.
Solution
To address these challenges, IAMOPS implemented a robust, event-driven data synchronization system leveraging AWS services. Key features of the solution include:
- Event-Driven Architecture: MongoDB Atlas stored changes in collections using Change Streams, and AWS Lambda functions were triggered to fetch changes every 10 minutes.
- AWS Integration: Changes were processed and stored in an Amazon S3 bucket, followed by decoupled event handling through SQS to invoke AWS Lambda.
- Data Processing in Snowflake: Processed data was staged in Snowflake for transformation and integration into main analytical tables.
- Error Handling and Security: Robust error detection, retry mechanisms, and encrypted data transfers ensured data integrity and compliance.
Results and Benefits
The solution delivered significant improvements in operational efficiency and real-time data management. The benefits achieved include:
- Synchronization Delay: Reduced from 30 minutes to under 5 minutes.
- Error Reduction: Achieved a 95% reduction in data discrepancies.
- System Availability: Ensured 99.9% uptime for continuous operations.
- Cost Optimization: Streamlined processes reduced operational costs significantly.
About IAMOPS
IAMOPS is a full DevOps suite company that supports technology companies to achieve intense production readiness.
Our mission is to ensure that our clients’ infrastructure and CI/CD pipelines are scalable, mitigate failure points, optimize performance, ensure uptime, and minimize costs.
Our DevOps suite includes DevOps Core, NOC 24/7, FinOps, QA Automation, and DevSecOps to accelerate overall exponential growth.
As an AWS Advanced Tier Partner and Reseller, we focus on two key pillars: Professionalism by adhering to best practices and utilizing advanced technologies, Customer Experience with responsiveness, availability, clear project management, and transparency to provide an exceptional experience for our clients.
