Case Study: Nexthink achieves scalable digital employee experience monitoring and streamlined incident management with Datadog

A Datadog Case Study

Preview of the Nexthink Case Study

Nexthink scales digital employee experience monitoring and improves incident management with Datadog

Nexthink is a digital employee experience management platform that monitors more than 20 million endpoints across 360+ microservices to help IT teams diagnose and resolve issues affecting employee productivity. During a move to the cloud, fragmented observability tools, high costs, and poor visibility created incident chaos, alert fatigue, and scalability problems that threatened platform reliability and customer satisfaction.

Nexthink adopted Datadog as a unified observability and incident-management platform, using Metrics without Limits, log archival to Amazon S3 (without ingesting), 141 integrations, an Internal Developer Portal, and integrated On‑Call. The result: resolved scalability issues and eliminated system crashes, tighter cost control (fewer ingested logs and 9.9k tracked metrics), streamlined incident response with clearer ownership, and the ability to support more customers on a more reliable, feature-rich platform for a similar budget.


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Nexthink

Pascal Gandilhon

Head of Observability


Datadog

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