OpenSearchCon Europe 2025

In this presentation, we’ll go over a real world scenario where we used OpenTelemetry to collect data from logs, metrics and traces and OpenSearch to store and search them. We were involved in the migration to OpenSearch in a food delivery company with close to a million orders a day. To observe the performance of its microservices, a large amount of data was collected and monitored in real time on dashboards.

In the checkout flow from adding an item in the cart to placing an order, several teams were involved. They had their own microservices and dashboards to observe them. So to trace any bug, the teams were relying on an internal order id. This id was not part of the contract of all services and thus made it hard to debug.

Here’s when we introduced distributed tracing using context across all microservices. We migrated to OpenTelemetry and OpenSearch and made changes in the logs, metrics and traces of all services across teams. This made it easier to search logs and look for issues effectively. In this discussion, we’ll discuss this scenario and the challenges we faced as part of implementing it. We will also discuss the benefits of this approach we observed afterwards.