Turn game incidents into prevention playbooks with AI
Automate postmortem analysis, correlate data across tools, and build institutional knowledge
Backed by the best
Postmortems drain development velocity
When your game crashes during peak hours, teams scramble across Slack channels hunting for logs while players flood Discord with complaints. Engineers manually dig through DataDog metrics, server logs, and player analytics to piece together what happened. Days later, someone writes a rushed postmortem that gets buried in Confluence, and the same incident happens again next month because critical learnings never became actionable prevention.
- Manual log analysis across DataDog, Splunk, and game analytics
- Rushed postmortems missing root cause connections
- Incident knowledge trapped in individual engineer's heads
- Same server crashes recurring because lessons weren't systematized
Intelligent postmortems that prevent future incidents
- Automatically correlate incident data from monitoring tools, logs, and player metrics
- Generate comprehensive postmortems with root cause analysis and prevention recommendations
- Build searchable incident knowledge base that grows smarter with each postmortem
- Create automated monitoring rules and playbooks from postmortem insights
How it works
- 01
Connect monitoring tools
Integrate DataDog, Splunk, game analytics, and incident response tools through guided authentication
- 02
Analyze incident data
AI correlates logs, metrics, and timeline data to identify root causes and contributing factors
- 03
Generate actionable reports
Receive comprehensive postmortems with prevention playbooks and automated monitoring recommendations
What Brainvolt brings to your workflow
Contextual Incident Analysis
AI draws from connected monitoring tools, server logs, player analytics, and historical incidents to identify patterns and root causes. Correlates seemingly unrelated data points across your entire tech stack.
Compounding Prevention Knowledge
Every postmortem builds institutional knowledge. AI remembers previous incidents, successful fixes, and prevention strategies. Past solutions become reusable playbooks for similar future incidents.
Automated Report Generation
Creates comprehensive postmortems with timeline reconstruction, impact analysis, and concrete prevention steps. Generates monitoring alerts and runbooks automatically from incident learnings.
Cross Team Collaboration
Shared AI channels where engineers, DevOps, and QA collaborate on incident analysis. Team knowledge stays visible and accessible. Multiple people can contribute to same postmortem thread.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.