Less than a month ago, the team at Q2BSTUDIO, a company specializing in development and technology services, faced a challenge that initially seemed simple: building a real-time monitoring dashboard for a financial platform. The goal was clear: every event recorded in DynamoDB had to be immediately available for analysis in OpenSearch, without delays.
Reality was different. During the first demo, our CTO noticed a latency of up to 5 seconds, especially during high traffic periods. In the financial sector, that margin can be critical. We identified that the traditional batch approach, with Lambda running every 5 seconds to process data blocks and send them to OpenSearch, was simply not enough.
This approach caused multiple problems: inherent delays due to batching, slow OpenSearch queries, and reliability failures because if an update failed, the entire batch was lost. We soon realized a radical change in our architecture was necessary.
The solution emerged after researching AWS documentation more deeply. We implemented DynamoDB Streams to capture every insertion, modification, and deletion in real time. From there, we created Lambda functions that reacted to these events and sent the data directly to OpenSearch (or Amazon Kinesis Firehose during traffic spikes) without the need for batching.
At Q2BSTUDIO, we managed to reduce latency from 3-5 seconds to less than 500 milliseconds. This transformation not only improved system efficiency but also increased its stability and resilience, eliminating the risks of total batch failures.
To maintain performance even during peaks of up to thousands of events per second, we incorporated Amazon Kinesis Firehose as an intermediate buffer between Lambda and OpenSearch. This change enabled automatic scalability, maintaining the speed and continuity of the pipeline.
We continue refining our system, moving transformation processes to OpenSearch Pipelines, using ElastiCache for frequent queries, and exploring edge computing solutions to improve the experience for global users.
At Q2BSTUDIO, we understand that in real-time systems, the constant challenge is to minimize latency. Every millisecond counts, especially in critical environments like finance. That is why we stay at the technological forefront to offer robust, fast, and scalable solutions.
What about you? What strategies have you tried to face real-time challenges? We would love to hear about your experiences.
