Challenge
The client was struggling with data synchronization between their Learning Management System (LMS) and Association Management System (AMS). The two systems needed to exchange data continuously to stay up to date. However, when an issue occurred, failures would go unnoticed, resulting in missing updates and inconsistencies across platforms.
A critical pain point was the lack of tracking and retry mechanisms—once a request failed, it was lost without any means of recovery or intervention.
Our Approach
Elastik Teams designed a robust, self-healing architecture leveraging AWS services to track, retry, and resolve failures automatically.
🔹 Automated Retry Mechanism
- Failed requests were pushed into an AWS SQS queue via an SNS topic.
- A Lambda function was built to retry failed requests up to 12 times.
- If an issue in either system was resolved in the meantime, the retry logic ensured that the data update would eventually succeed.
🔹 Real-Time Error Logging & Monitoring
- DynamoDB was implemented to track every failed request—how many times it was retried and at which attempt it succeeded.
- API Gateway was set up to detect errors and immediately trigger SNS for failure handling.
🔹 Innovation: A Fail-Safe Data Pipeline
- By pushing failed requests into an SQS queue, we ensured that no request was ever lost. Even if the system faced downtime, requests remained safely stored until they could be retried and processed successfully.
Results & Impact
✅ Seamless Data Sync – The LMS and AMS now remain consistently updated without manual intervention.
✅ Zero Data Loss – Failed requests are stored, retried, and resolved systematically.
✅ Complete Visibility – The client can now track failures, retries, and successful updates, making troubleshooting effortless.
✅ Improved Productivity – Automated error resolution has eliminated downtime caused by missing updates.
✅ Flawless Execution – Since implementation, the system has run smoothly, with zero reported issues.
Elastik Teams Delivers Future-Ready Solutions
This integration transformed how the client handled data synchronization, eliminating blind spots and inefficiencies. With self-healing automation in place, the team can focus on business goals instead of firefighting system errors.
