The AI engine inside the Dynatrace monitoring platform that names one exact root cause of an outage instead of a list of alerts.
Dynatrace Davis AI is the analysis engine inside Dynatrace, a platform that monitors a company's whole tech stack. It watches metrics, logs, traces, and security data and maps how services depend on each other using a live model called Smartscape. When something breaks, it traces the cause-and-effect chain and names one root cause, not a pile of alerts. It also predicts problems before they cause an outage and can trigger automatic fixes on its own. Davis combines this cause-and-effect logic, called causal AI, with predictive and generative AI in one system. Dynatrace stores this data in a platform called Grail. Admins deploy Dynatrace using agent software on servers, containers, and cloud accounts.
This fits a company running many connected services across cloud and on-site systems, and an operations or reliability team that chases false alarms from separate tools. A practical start is a pilot on one key application, watching how Davis maps its dependencies. Dynatrace charges per host and per feature module, and cost can run high for a large environment, so get a formal quote before a wider rollout; public list pricing is limited. The tool has a learning curve for new teams and works best when most of the stack is set up with it, since partial coverage limits how well it finds root causes. Plan time for onboarding and for connecting your existing tools.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $80.5K | $126.5K | $203.2K |
| Three-year total | $174.8K | $263.3K | $406.3K |
| First-year cost per unit | $80.5K | $126.5K | $203.2K |
| Average annual cost per unit (over three years) | $58.3K | $87.8K | $135.4K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $27K | $36K | $48.6K |
| Implementation | $13.2K | $22K | $37.4K |
| Integration | $14.3K | $26K | $46.8K |
| Staff time and change management | $8.4K | $12K | $16.8K |
| Security | $6.7K | $9.5K | $14.3K |
| Administration | $4.9K | $6.5K | $8.8K |
| Support | $2.3K | $3K | $4.1K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Dynatrace Davis AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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