The use case: how PayPal deploys Datadog
PayPal uses Datadog APM and Real User Monitoring together with OpenTelemetry to get end-to-end observability across its multi-cloud, multi-brand payments infrastructure. Engineers, operations, customer service and product teams use it to trace issues, monitor site health and track product launches.
More reported results
Figures published in Datadog’s case study. They are not independently measured by usedby.
The company generates massive volumes of operational data and monitors more than 70,000 physical hosts and 400,000+ container hosts, collectively generating 200+ million metrics per minute.
In the customer’s words
Datadog's support for interoperability with OpenTelemetry proved to be the best solution for the level of scale, observability, and support we need.Other AI tools used by PayPal
Other public relationships recorded on usedby.
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Datadog users in Fintech & Payments
Companies in the same sector, 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
- Jun 27, 2025
- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 400 application teamsChecked
Printed word for word on the page, near the name of PayPal.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of PayPal.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- PayPal uses DatadogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
To ensure smooth adoption across thousands of engineers, PayPal developed a "train the trainer" program, appointing observability champions across 400 application teams to accelerate learning and drive adoption.