Your Partner in Reliability.
DrDroid plugs into your cloud, code, and telemetry, then continuously scans for the failure modes you don't have time to find. Fewer incidents. Faster root-cause. Automation that actually fires.
SOC2 compliant
Watch DrDroid investigate a real incident.
From alert firing to root cause in under 9 minutes, no manual log digging, no tab-hopping. Just context, cause, and a fix.
One agent that learns your stack, then never stops looking.
We connect to the systems you already run, build a live model of how they fail, and turn that model into proactive checks, faster RCA, and runbooks that fire on their own.
Cloud, code, and telemetry, in one read-only sweep.
OAuth into AWS, GCP, Azure, your repos, CI, and observability stack. No agents. No code changes. Live in under 30 minutes.
A living map of every entity, and how they connect.
DrDroid reads your cloud, code, and telemetry metadata to build a relationship graph across tools: which GitHub repo maps to which Datadog service, which Grafana dashboard, which K8s pods, which AWS database. Docs, runbooks, and wiki are ingested as custom knowledge. The graph stays live, updated continuously by alerts, deploys, conversations, and incidents, and builds patterns over time that no dashboard can see.
Suggest. Diagnose. Automate.
Every scan ends in something you can act on, a configuration to tighten, a root-cause to ship, or a runbook that fires automatically the next time the pattern returns.
Fewer incidents
Proactive suggestions defuse misconfigurations and risky patterns before they page anyone.
Faster time-to-RCA
Topology-aware diagnosis assembles the cause across logs, metrics, and recent deploys in minutes.
More remediation automated
Runbooks fire from scans, not Slack threads. Guarded by approval gates where it matters.
It reads what you wrote. Watches what happens. Remembers what repeats.
A graph alone is just topology. DrDroid combines the knowledge your team already wrote down, the signals flowing through your stack right now, and the patterns it has seen before, so it can act on what matters, not what's loudest.
What your team already knows.
Runbooks, wikis, ADRs, READMEs and on-call docs, pulled in, re-indexed on every edit, and grounded against the live graph.
What's happening, right now.
Alerts, deploys, releases, conversations and issues stream into the graph the moment they happen, every signal a chance to update what the system believes.
What it has seen before.
When the same sequence shows up twice, DrDroid remembers. Each pattern carries the response that worked last time, and fires it before the page does.
One brain that remembers everything about your stack.
AI Memory holds your service graph, runbooks, docs, and every live signal, alerts, deploys, conversations, incidents. It builds patterns over time so every engineer starts with full context, not a blank slate.
Memory Explorer
Classified Alerts View
Service Catalog
| Service Name | Upstream | Downstream | Data Sources | Created By | Rule Source |
|---|---|---|---|---|---|
| azure_monitorinfra | None | None | 3 sources | DroidAgentV2 | Rules managed |
| app_serviceservice | None | None | 3 sources | DroidAgentV2 | Rules managed |
| addon-resizerinfra | None | None | 9 sources | DroidAgentV2 | Rules managed |
| storageinfra | None | None | 9 sources | DroidAgentV2 | Rules managed |
| network_watcherinfra | None | None | 9 sources | DroidAgentV2 | Rules managed |
| metrics-serverinfra | None | None | 14 sources | DroidAgentV2 | Rules managed |
Built for the team that owns the pager.
DrDroid earns its place across the on-call rotation, for the IC who wakes up, the lead who triages, and the leader who has to explain it on Monday.
Catch it before it pages you.
Stop reactive tuning. Stop pages from misconfig. Stop digging through five dashboards at 2am.
- Proactive risk feed, ranked by blast radius
- Topology-aware RCA, not log greps
- One-click runbooks from the alert itself
A living map of your entire platform, automatically.
DrDroid builds and maintains your service catalog from what it discovers, no spreadsheets, no stale wikis, no manual updates.
- Service graph auto-built from GitHub, Datadog, K8s, and AWS
- Org-wide reliability score, by team and service
- Ownership, dependencies, and SLOs, always current
A number you can put on a slide.
Replace gut-feel reliability reviews with a measurable posture you can trend and forecast.
- Reliability score, MTTR, & risk burn-down
- Per-team & per-service rollups
- Incident learning, on autopilot
Plugs into everything you already pay for.
Cloud, code, observability, incident response, ticketing, read-only and reversible. If you can OAuth into it, DrDroid can scan it.
AWS 
Google Cloud 
Azure 
Kubernetes 
Amazon EKS 
GKE 
GitHub 
GitHub Actions 
Bitbucket 
Jenkins 
Argo CD 
Datadog 
Grafana 
New Relic 
Prometheus 
Elastic 
SignOz 
PagerDuty 
OpsGenie 
Sentry 
Rootly 
Zenduty 
Rollbar 
Slack 
MS Teams 
Linear 
Jira 
Notion 
Confluence See DrDroid in action
Watch how engineering teams use DrDroid to cut MTTR and stay ahead of incidents.
What changes when scanning runs without you.
We measure ourselves on pages avoided and minutes saved during the incident, not dashboards rendered.
"Earlier, debugging meant hopping between logs, workflows, and infra dashboards trying to piece together what went wrong. DrDroid pulls the context together and points us in the right direction, even someone new to the system can figure things out."
Rahul Bhattacharya · Co-founder & CTO, Adopt.ai "One time I was woken up at 3am by a pager that escalated. I instantly asked DrDroid to investigate it and in a few minutes, I was able to close the issue directly from Slack."
Moiz Arsiwala · CTO, WorkIndia "DrDroid understood our context too well. It gave recommendations which showed deep understanding of the infrastructure and helped reduce 20–30% cost."
Prateek · Head of Technology, Stanza Living Your reliability co-pilot, built for on-call.
Connect your stack in 30 minutes. See your first ten proactive suggestions before the call ends.