Case Study: Zendesk achieves greater developer productivity and unified monitoring with Datadog

How Zendesk enables greater developer productivity with AWS and Datadog

Zendesk, a customer service software provider used by over 170,000 businesses, moved from a monolithic on‑premises production stack to a containerized, AWS-based environment to give developers the speed and modularity needed to build features faster. Their migration was complicated by fragmented monitoring tools that created silos, manual correlation of metrics, and higher costs, making it hard to maintain an always‑on, high-performing platform.

By standardizing on Datadog and deploying it across 25 Kubernetes clusters on AWS, Zendesk gained unified visibility through automatic metrics, traces, logs, and granular tagging. The result: teams can pinpoint issues quickly, reduce cross‑team confusion and costs, accelerate feature delivery, and keep the platform reliable for customers through consolidated dashboards and Datadog’s APM and Trace Search capabilities.

Zendesk

Jon Moter

Principal Engineer