What is Doctor Droid?
Doctor Droid is an AI-powered SRE platform designed to reduce the time and cognitive load engineers spend on incident response and on-call triage.
The platform provides three core capabilities: PlayBooks for automated runbook execution during incidents, an AlertOps Slack bot that surfaces actionable context for on-call engineers without requiring them to switch tools, and an AI Debugger that performs automated root cause analysis by correlating signals from across the monitoring and infrastructure stack.
The platform targets engineering teams running production systems who face on-call fatigue from alert volumes that exceed human ability to triage manually.
An on-call engineer who receives an alert at 2am can receive structured context from Doctor Droid's AlertOps bot in Slack within seconds, including the relevant metrics, recent deployments, and suggested runbook steps, rather than spending twenty minutes hunting through dashboards before beginning investigation.
PlayBooks automate the repetitive investigation steps that experienced engineers run from memory.
Doctor Droid integrates with the major observability and infrastructure platforms including Datadog, Grafana, PagerDuty, Opsgenie, Prometheus, Kubernetes, and AWS CloudWatch. This integration coverage means teams can connect Doctor Droid to their existing monitoring stack without replacing existing tools.
The platform acts as an AI reasoning layer on top of existing observability data rather than requiring teams to change their alerting and monitoring infrastructure.
The AI Debugger capability performs multi-step automated investigation by querying connected monitoring systems, correlating signals across metrics, logs, and infrastructure events, and generating a root cause hypothesis with supporting evidence.
Key Features
✓Playbooks For Automated Runbook Execution During Production Incidents
✓Alertops Slack Bot Delivering Contextual Triage Without Leaving Slack
✓Ai Debugger For Automated Root Cause Analysis And Multi-Step Investigation
✓Integrations With Datadog, Grafana, Prometheus, Pagerduty, Kubernetes, And Aws Cloudwatch
✓Free Tier Supporting Up To 1 Million Events Per Month
✓Automated Correlation Of Metrics, Logs, And Deployment Events During Incidents
✓Reduces On-Call Alert-To-Context Latency From Minutes To Seconds
✓Production-Validated Platform With $1.4M In Revenue
Who is Doctor Droid for?
→SRE and platform engineering teams managing high-volume production alert environments
→On-call engineers who need fast contextual triage without switching between dashboards
→Engineering teams using Datadog, Grafana, or Prometheus who want AI-assisted root cause analysis
→DevOps teams looking to automate runbook execution and incident response workflows
→Engineering managers trying to reduce on-call fatigue and incident response toil
Frequently Asked Questions
What are Doctor Droid PlayBooks and how do they automate incident response?
PlayBooks are automated runbook executors that run pre-defined investigation and remediation steps during incidents. Rather than requiring an on-call engineer to manually execute a series of investigative commands and checks from memory, PlayBooks run those steps automatically when triggered and surface the results. Teams configure PlayBooks to match their existing runbooks, and the platform executes them against connected infrastructure and monitoring systems to gather the evidence needed for diagnosis.
How does the Doctor Droid AlertOps Slack bot work for on-call triage?
The AlertOps Slack bot delivers structured incident context directly into Slack channels when alerts fire, without requiring on-call engineers to open Datadog, Grafana, PagerDuty, or other monitoring tools to start their investigation. The bot surfaces relevant metrics, recent deployment activity, and suggested runbook steps alongside the alert notification, reducing the time from alert to first investigative action. Engineers can also query the bot directly during incidents to run investigation steps from Slack.
What monitoring and infrastructure tools does Doctor Droid integrate with?
Doctor Droid integrates with Datadog, Grafana, Prometheus, PagerDuty, Opsgenie, Kubernetes, AWS CloudWatch, and other major observability and infrastructure platforms. This integration breadth allows teams to connect Doctor Droid to their existing monitoring stack without replacing current tools. The platform acts as an AI reasoning layer on top of existing observability data, requiring no changes to how alerts are generated or routed.
How much does Doctor Droid cost and what does the free tier include?
Doctor Droid offers a free tier that includes up to 1 million events per month, which covers evaluation and small team deployments. Paid plans scale with event volume and team size for larger production deployments. The free tier is designed to allow teams to test Doctor Droid against real production alert volumes before committing to a paid plan, making it practical to evaluate the platform in the actual environment where it will be used.
What is the AI Debugger in Doctor Droid and how does root cause analysis work?
The AI Debugger performs automated multi-step root cause analysis by querying connected monitoring systems, correlating signals across metrics, logs, traces, and infrastructure events, and generating a structured hypothesis about the cause of the incident with supporting evidence. The analysis is produced within seconds of an alert firing, giving on-call engineers a structured starting point for investigation rather than requiring them to assemble context manually from multiple dashboards.
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