The use case: how Bullla deploys Datadog
Bullla uses Datadog for application performance monitoring, log management, synthetic monitoring and real user monitoring across its cloud environment and high-volume applications. It also uses Bits AI for root cause analysis, automated postmortems and self-healing workflows to resolve incidents faster.
More reported results
Figures published in Datadog’s case study. They are not independently measured by usedby.
The broader impact is reflected in Bullla’s availability, which increased from a historical level of 97% to 99.99%.
For critical incidents, the team has shortened troubleshooting time by up to 80%
With Bits Chat, Bullla has also reduced the time required to produce security incident reports by approximately 96%
In the customer’s words
Bits AI gives us business and technical visibility at a much higher level and in dramatically less time. It helps us connect the data, identify root causes, and give our engineers accurate direction within minutes.Other companies using Datadog
Customers across industries, with public evidence.
AppFolioConfirmed
Auth0Confirmed
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
- Oct 21, 2026
- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 90%Checked
Printed word for word on the page, near the name of Bullla.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Bullla.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Bullla uses DatadogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Bullla has embedded Bits AI into its engineering workflows to correlate metrics, traces, logs, and source code. Instead of manually searching across disconnected signals, teams can use AI-generated root cause analysis, postmortems, and remediation recommendations