Case Study: Conductor achieves faster AWS Lambda troubleshooting and debugging with Thundra

Conductor uses Thundra to monitor and troubleshoot its AWS Lambda functions

Conductor, a California-based media and entertainment company that helps VFX, VR/AR, and animation studios offload rendering and simulation workloads to the cloud, needed better visibility into its AWS Lambda-based, event-driven serverless architecture. As its team moved more workloads to AWS, CloudWatch logs alone made it hard to search, pinpoint issues, and troubleshoot failures quickly.

Thundra provided Conductor with automated observability for its Lambda functions, including anomaly detection charts, distributed traces, alerts, and an offline debugger. With Thundra, the team could debug issues in minutes, identify memory bottlenecks and cold starts, and optimize functions for lower resource usage—helping reduce AWS costs and increasing confidence in deploying and maintaining serverless workloads.

Conductor

Francois Lebel

Director of Engineering