Incidents, fixed
end to end.
The moment Dynatrace flags a real problem, six AI specialists find the cause in your live data, open the fix in GitLab, and prove your service recovered. You approve every change.
Runs on the stack you already have
See it work
One real incident, start to finish
Watch the crew take a real incident from page to verified fix in 90 seconds.
How it works
From a 2am page to a verified fix, on its own
A single coding agent can't see your production, your customers, or your revenue. HiveMind is a team of specialists that can. It shows its work at every step.
1. It catches the problem
The page wakes HiveMind, not you
When Dynatrace Davis flags a real problem, HiveMind wakes up on its own. No polling, no rules to wire up. It pulls the cause and the evidence from your live Grail data.
- Triggered by a real Davis problem
- Reads your own telemetry
- Opens an incident room in seconds
2. It finds and writes the fix
Six specialists, one merge request
The crew reads your live logs and traces, pins the slowdown to the exact deploy, and opens the fix as a GitLab merge request. It even names the customers and revenue at risk.
- Root cause from logs and traces
- A real, reviewable GitLab MR
- Customer and revenue impact, quantified
3. It proves the recovery
The proof comes from Dynatrace
Once you approve, the fix ships. A Dynatrace Site Reliability Guardian confirms the service is healthy again. The verdict comes from Dynatrace, not us.
- You approve before anything ships
- The fix ships only when you say yes
- SRG recovery check goes from fail to pass
A real team, not a chatbot
Six specialists, each wired into a real system
One alert and they all jump in. Each is fluent in the platform it drives, so together they see your production, your code, your customers, and your revenue at once.
Detective
Finds the root cause in your live Grail data.
LogDiver
Pins the slowdown to the exact deploy.
CodeArch
Opens the fix as a merge request you can read.
Liaison
Names the customers and the revenue at risk.
Scribe
Writes the incident record as it happens.
Reviewer
Signs off on the fix, then confirms the service recovered.
Every claim comes with proof
You never have to take its word for it
Every step links to the real artifact behind it. A script can't fake a live Grail query, a Davis problem on your tenant, a merge request in your repo, or a Site Reliability Guardian flipping green.
- The real DQL query, run on your Grail data
- The real Davis problem, linked to your tenant
- The real GitLab merge request
- A Dynatrace recovery check that goes fail → pass
On-call used to start with a blank terminal at 2am. Now it starts with a root cause, a merge request, and a recovery check already waiting. A human still says yes before anything ships.
Turn your next 2am page into a merge request.
Connect Dynatrace and GitLab in about two minutes, then watch your first real incident get fixed from start to finish.