What is Doctor Droid?
DrDroid is an AI SRE agent built to help engineering teams detect, investigate, and fix production incidents—fast. Instead of relying on tribal knowledge or waking up your most senior engineer at 3 a.m., DrDroid gives every team member the context and tools to debug like an expert. It connects to your existing observability stack, understands your infrastructure, and surfaces root causes in minutes—not hours.
Whether you're on-call, triaging alerts, or optimizing costs, DrDroid acts like a seasoned site reliability engineer who already knows your code, services, and deployment history. No more guessing which logs to check or which service broke after a deploy—it maps everything automatically and explains what’s wrong in plain English.
What are the features of Doctor Droid?
- Automated Root Cause Analysis: Investigates incidents across logs, metrics, traces, and deployments to pinpoint the real cause—like spotting an unbounded OpenTelemetry batch processor causing OOMKills.
- Proactive Health Checks: Lets you write complex monitoring checks in natural language (e.g., “Check node CPU pressure and pod evictions”) that run on a schedule to catch silent failures before they escalate.
- Alert Intelligence: Groups noisy alerts into meaningful incidents based on actual impact and architecture context—reducing alert fatigue and highlighting what truly matters.
- Tribal Knowledge Capture: Builds a persistent, searchable knowledge layer from past investigations, code repos, and system dependencies so new hires get up to speed in weeks, not months.
- Cost & Security Intelligence: Scans your cloud and Kubernetes resources to find overprovisioned instances, idle volumes, and savings opportunities—like identifying $4,280/month in recoverable waste.
- Observability Health Monitoring: Automatically retires stale alerts, repairs dashboards, and adds coverage for new services to keep your monitoring stack accurate as your infrastructure evolves.
- 80+ Native Integrations: Works out-of-the-box with Kubernetes, Datadog, Grafana, ArgoCD, AWS, GCP, GitHub, and more via MCP servers—plus supports custom internal tools.
What are the use cases of Doctor Droid?
- An on-call engineer gets paged at 2 a.m. and uses DrDroid in Slack to instantly diagnose a CrashLoopBackOff issue—resolving it without escalation.
- A DevOps team sets up a proactive check in plain English to monitor etcd disk latency, kubelet restarts, and pending pods together—catching node degradation before workloads fail.
- After a senior SRE leaves, new engineers use DrDroid to understand service dependencies and debug auth-service failures without needing shadowing or documentation.
- Platform teams run weekly cost reports to right-size EC2 instances, delete unused EBS volumes, and switch RDS to reserved pricing—saving thousands monthly.
- During incident review, teams replay DrDroid’s investigation trail to see exactly how the AI correlated deployment changes, memory trends, and exit codes to find the root cause.
- Engineering leaders reduce MTTR by empowering frontend and backend devs to triage production issues directly from PagerDuty or Slack using AI-guided investigations.
How to use Doctor Droid?
- Connect DrDroid to your tools (Kubernetes, cloud APIs, APM, CI/CD) in under 15 minutes—no manual config needed.
- Start an investigation by typing a question like “Why are order-svc pods crashing?” in Slack, the web app, or CLI.
- Create proactive checks using natural language (e.g., “Flag if any node has high memory pressure and rising pod evictions”) and schedule them like cron jobs.
- Review DrDroid’s auto-generated investigation trail to see which tools it queried and how it reached its conclusion—great for learning and validation.
- Use the cost intelligence dashboard to accept one-click recommendations for right-sizing or cleanup.
- Let DrDroid run weekly observability audits to auto-fix stale alerts and missing dashboard panels.
