United StatesTechnology and telecom2025 – ongoingDigitalOcean
Traversal AI incident investigation for engineering teams
Traversal reported a 38% reduction in DigitalOcean's mean incident resolution time
Problem
DigitalOcean's engineers had to connect incident evidence scattered across monitoring systems. Manual investigation slowed the identification of root causes.
Approach
DigitalOcean tested Traversal on historical and live incidents before expanding deployment across engineering. The system received read-only access to observability tools and launched investigations through its interface or Slack. Engineers could inspect supporting evidence and ask follow-up questions.
Results
Takeaway
The deployment automated investigation while engineers retained access to the evidence behind its conclusions. The reported time savings came from the supplier.
Categories
- Industry
- Technology and telecom
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- AI agents
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Traversal described DigitalOcean's expansion from a pilot to engineering-wide incident investigation. It reported 38% lower mean resolution time, 3,600 engineering hours saved annually and 50+ monthly engineer users.
Full details are in the original sources.