Connect and map the stack
DrDroid connects to cloud, code, CI/CD, and observability tools, then crawls telemetry and related context to build a knowledge graph of the stack.
DrDroid
RevendiquerDrDroid is an AI SRE agent for incident response, root-cause analysis, and remediation across cloud, code, CI/CD, and telemetry tools.
What DrDroid is
DrDroid is an AI SRE agent for incident response and reliability work. It connects to cloud, code, CI/CD, and telemetry systems, then scans the stack to build a knowledge graph that helps teams investigate alerts, identify root cause, and act on runbooks or remediation workflows with more context.
The product is positioned for both individual troubleshooting and team operations. The site emphasizes read-only connections, no code changes, and live setup through existing tools, while the pricing page highlights shared investigations, unlimited users, and enterprise options such as self-hosting, SSO/SCIM, and bring-your-own-LLM.
Core capabilities
Cross-tool knowledge graph
The graph links entities such as repositories, services, dashboards, pods, infrastructure, alerts, incidents, and runbooks so investigations can follow cross-tool relationships.
Incident investigation context
When an alert fires, the system uses the graph to trace blast radius, surface likely causes, and support faster root-cause analysis without manual tab-hopping.
Suggestions and automated runbooks
The product can surface proactive suggestions and runbook-based actions, including guarded automation for remediation workflows.
Learns from past investigations
A self-learning agent stores correct queries, correlations, tool sequences, and dead-end paths so later investigations can skip repeated mistakes and move faster.
Team and enterprise controls
Pricing and plan controls support shared investigations, audit trails, unlimited users, and enterprise deployment options such as self-hosting in a VPC and bring-your-own-LLM.
Common ways teams use DrDroid
Incident triage
Use DrDroid when an alert fires and engineers need to move from signal to likely cause without manually checking multiple dashboards, repos, and chat threads.
Root-cause analysis
Use the knowledge graph and pattern memory to narrow down recurring failures, blast radius, and the most relevant evidence for a root-cause analysis.
Operational learning
Use the self-learning behavior to capture corrected queries, tool sequences, and known correlations so repeated incidents are investigated faster over time.
Team on-call workflows
Use shared investigations, audit trails, and unlimited users to standardize how on-call teammates collaborate during incidents and handoffs.
Enterprise deployment
Use enterprise controls such as self-hosting, SSO/SCIM, and bring-your-own-LLM when security, residency, or infrastructure constraints require tighter deployment control.
Pros and Cons
Pros
- Connects to existing cloud, code, CI/CD, and telemetry tools without requiring agents or code changes.
- Builds a shared knowledge graph that ties together alerts, incidents, dashboards, repositories, runbooks, and infrastructure.
- Supports faster incident response through cross-tool correlation, blast-radius analysis, and learned investigation patterns.
- Includes collaboration features such as shared investigations, audit trails, and unlimited users on the Teams plan.
- Offers enterprise controls including self-hosting in a VPC, bring-your-own-LLM, SSO/SCIM, IP allowlisting, and custom data residency.
Cons
- The public site gives only partial detail on the exact integration list and deployment matrix beyond the major cloud, code, and observability categories.
- Pricing is credit-based, so the monthly cost can vary with investigation volume and top-ups rather than staying fixed.
- The strongest automation claims are tied to the connected runbooks and stack context, so fit depends on how much operational knowledge is already captured in those systems.
FAQ
What does DrDroid do?
DrDroid is designed to connect to cloud, code, and telemetry sources, crawl the stack, and build a knowledge graph that helps investigate incidents and trigger remediation or runbooks with more context.
How is DrDroid set up?
The source describes read-only OAuth connections into cloud, code, CI/CD, and observability tools, with no agents and no code changes, and says teams can be live in about 30 minutes for the core connection workflow.
Is DrDroid for individuals or teams?
The Teams plan is aimed at shared on-call rotation and team collaboration, while the site also notes a Mac app for individual use and Teams for shared investigations and centralized integrations.
How is DrDroid priced?
Pricing is based on investigation credits rather than seats. The Teams plan includes 99 credits per month, shared across unlimited users, with top-ups available at $1 per credit; Enterprise uses custom pricing.
What kinds of workflows does it support?
The site positions DrDroid around incident response, root-cause analysis, proactive suggestions, and automated remediation. The exact depth of automation depends on the connected tools, signals, and runbooks in a given stack.
Quick Facts
- Category
- AI SRE agent
- Primary use
- Incident response and root-cause analysis
- Connection model
- Read-only OAuth into existing tools
- Deployment options
- Teams plan or enterprise self-hosting/VPC
- Pricing model
- Investigation credits, not seat-based
- Website
- drdroid.io
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