The use case: how SNCF deploys Datadog
SNCF uses Datadog Infrastructure Monitoring, Log Management and APM as a single monitoring platform across its business units. Teams use it for alerting, troubleshooting, reviewing application logs and performance metrics, and checking cloud provider billing, including for containerized applications in the cloud.
More reported results
Figures published in Datadog’s case study. They are not independently measured by usedby.
Within eight months, SNCF migrated 4,800 servers (including 2,000 production servers), 655 applications, and 13,000 containers from older monitoring tools to Datadog.
In the customer’s words
Every engineer can now observe how well applications are functioning, which translates into a better service for customers who are using our trains.Other AI tools used by SNCF
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Other companies using Datadog
Customers across industries, with public evidence.
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Go straight to the source
Based on Datadog’s published case study. We check the public evidence; the results are reported by the vendor.
datadoghq.com- Source published
- Sep 8, 2021
- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 2,300Checked
Printed word for word on the page, near the name of SNCF.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of SNCF.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- SNCF uses DatadogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Before Datadog, monitoring metrics was reserved for the 150 people who were most directly responsible for managing operations. Today, those metrics are available to all 2,300 SNCF engineers and administrators, across all teams and environments.