The use case: how AppFolio deploys Datadog
AppFolio uses Datadog Agent Observability to monitor the performance, latency, token usage and response quality of Realm-X Messages, its LLM-powered inbox for resident communications. It used the tracing to find bottlenecks in the LLM chain and to run toxicity and failure-to-answer evaluations.
In the customer’s words
Datadog Agent Observability helped us ensure high model performance and quality, and allowed us to expand functionality quickly and safely.Other AI tools used by AppFolio
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Other companies using Datadog
Customers across industries, with public evidence.
Auth0Confirmed
BulllaConfirmed
HashiCorpConfirmed
ItaúConfirmed
PayPalConfirmed
Porsche InformatikConfirmedGo 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
- Nov 7, 2024
- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 80 to 90 percentChecked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of AppFolio.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- AppFolio uses DatadogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
This led to an 80 to 90 percent reduction in latency, which corresponded with a nearly 300 percent increase in the adoption of Realm-X Messages.