Backed by Y Y Combinator
Self-learning AI Agent.
DrDroid connects to cloud, code, and telemetry, scans your stack to build a knowledge graph, enabling faster incident response, quicker root-cause analysis, and automated remediation.
A living map that connects every entity across your stack.
Cross-tool correlation A GitHub repo maps to a Datadog service, a Grafana dashboard, K8s pods, and AWS resources, automatically.
Decision engine When an alert fires, the graph traces the blast radius across every connected entity in seconds.
Continuously learning Every alert, deploy, and incident strengthens the graph. Patterns emerge that no dashboard can surface.
3 pods healthy 14 correlations 1 anomaly 2 deploys today
Investigation #1 · first encounter Investigation #2 · same alert, next day
⚠ p95 latency alert fires triggered
🧠 get_metrics("trace.duration.p95") ✓ remembered
⏭ check deploys / config skipped
🧠 get_pod_metrics() ✓ OOM confirmed
✓ Root cause confirmed — no wrong turns 12s
⚠ p95 latency alert fires triggered
▶ get_metrics("latency.p95") ✗ not found
↻ retry: trace.duration.p95 ✓ spike found
▶ check recent deploys ✗ dead end
▶ check config changes ✗ dead end
▶ check pod metrics ✓ OOM found
6 tool calls 1 error 34s → 3 tool calls 0 errors 12s · 65% faster
From your telemetry to a living knowledge graph.
We connect to your existing tools, crawl all telemetry, and generate a knowledge graph of your stack.
01 / CONNECT
Read-only access to your entire stack.
OAuth into cloud, code, CI/CD, and observability. No agents. No code changes. Live in 30 minutes.
AWS · GCP · Azure GitHub · GitLab Datadog · Grafana · NR
02 / CRAWL
We crawl all telemetry and build your knowledge graph.
Metrics, logs, traces, cloud configs, repos, docs, runbooks. All crawled and mapped into a cross-tool knowledge graph. Which repo → which service → which dashboard → which pods. Always live, always learning.
knowledge graph context map always live
03 / ACT
Act with full context.
The knowledge graph powers proactive suggestions, root-cause diagnosis, and automated runbooks — all with full context.
proactive explainable guarded
Tighten retry budget · orders-svc SUGGEST
Cause of INC-4821 · sidecar OOM RCA · 9m
Auto-scale on memory pressure RUN
Drain node-12 · disk-full RUN
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.
☰
RUNBOOK Restart payments-api after RDS failover
v4
☰
WIKI Service ownership, checkout pod
edited 2d
⎇
REPO orders-svc / ARCHITECTURE.md
main
☰
DOC On-call playbook · severity matrix
linked
◎
ADR ADR-024 · Read-replica pinning
accepted
☰
RUNBOOK Drain traffic · payment-gateway timeout
v2
☰
WIKI Database sharding strategy, orders
edited 5d
⎇
REPO api-gateway / README.md
main
☰
DOC Incident severity definitions
linked
◎
ADR ADR-031 · Circuit breaker pattern
accepted
☰
RUNBOOK Restart payments-api after RDS failover
v4
☰
WIKI Service ownership, checkout pod
edited 2d
⎇
REPO orders-svc / ARCHITECTURE.md
main
☰
DOC On-call playbook · severity matrix
linked
◎
ADR ADR-024 · Read-replica pinning
accepted
☰
RUNBOOK Drain traffic · payment-gateway timeout
v2
☰
WIKI Database sharding strategy, orders
edited 5d
⎇
REPO api-gateway / README.md
main
☰
DOC Incident severity definitions
linked
◎
ADR ADR-031 · Circuit breaker pattern
accepted
+
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.
ALERT payments-api p95 anomaly forming 12s
DEPLOY checkout-svc v4.21 → prod 4m
SLACK "anyone seeing 5xx on orders?", #incidents 8m
ISSUE GH#4821 closed · sidecar OOM 22m
ALERT auth-svc 401 spike · 3.2k/min 31m
DEPLOY user-service v2.9 → staging 44m
SLACK "memory errors on worker-3?", #on-call 51m
ISSUE GH#4830 open · Redis timeout 1h
ALERT payments-api p95 anomaly forming 12s
DEPLOY checkout-svc v4.21 → prod 4m
SLACK "anyone seeing 5xx on orders?", #incidents 8m
ISSUE GH#4821 closed · sidecar OOM 22m
ALERT auth-svc 401 spike · 3.2k/min 31m
DEPLOY user-service v2.9 → staging 44m
SLACK "memory errors on worker-3?", #on-call 51m
ISSUE GH#4830 open · Redis timeout 1h
=
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.
AWS us-east-1 RDS degraded → app errors spike 94%
3 matches · firing now
Azure AD auth outage → login failures cascade 89%
4 matches · last seen 9d ago
Sentry error rate surge → release health drop 83%
7 matches · last seen 2d ago
Memory pressure on node → OOM in <5m 96%
8 matches · last seen 3d ago
Deploy + p99 latency rise → rollback signal 88%
14 matches · 2 firing now
RDS connection churn → pool exhaustion 82%
6 matches · learned 11d ago
Slack 'rollback' chatter → incident in 12m 74%
9 matches
Auth service timeout → downstream cascade 68%
5 matches · learned 6d ago
High GC pause → request queue spike 61%
11 matches · last seen 1d ago
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.
drdroid.app / ai-memory
⌘K
Platform Knowledge 27,752 records · 23.5 MB
Infrastructure Components/ 689
Alerts & Activity 9,456 records · 60.2 MB
infra APITimeoutError on OpenAI API in podracer 2 alerts
Last: a few minutes ago Sentry
infra APITimeoutError on Azure cognitive services endpoint 2 alerts
Last: a few minutes ago sentry
code psycopg2 UndefinedColumn created_at protoproddb connector 2 alerts
Last: a few minutes ago sentry
code psycopg2 UndefinedColumn tool_calls protoproddb connector 1 alert
Last: a few minutes ago sentry
code PostgreSQL UndefinedColumn investigation_id protoproddb 1 alert
Last: a few minutes ago sentry
Last seen: 9 minutes ago sentry +3 more reports +2 more
| 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 |
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.
Cloud & Infra
AWS
Google Cloud
Azure
Kubernetes
Amazon EKS
GKE
Code & Delivery
GitHub
GitHub Actions
Bitbucket
Jenkins
Argo CD
Observability
Datadog
Grafana
New Relic
Prometheus
Elastic
SignOz
Incident & Response
PagerDuty
OpsGenie
Sentry
Rootly
Zenduty
Rollbar
Workflow & Ticketing
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.
Built for teams that can't afford to compromise.
DrDroid runs where your data lives, meets the bar your security team sets, and ties its pricing to outcomes you actually care about.
SOC 2 Type II certified Read-only integrations SSO / SAML
01
Self-hosted deployment
Run entirely inside your VPC or on-prem. No data leaves your network. Deploy via Helm or Docker Compose with air-gapped support.
02
Outcome guarantees
We tie our success to yours — measurable reduction in MTTR and incident frequency, SLA-backed with quarterly reviews.
03
Security & compliance
SOC 2 Type II, encrypted at rest and in transit, read-only access to all integrations. Built to pass your vendor review on day one.
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
Generate your knowledge graph, in minutes.
Connect your stacks and see your services mapped in minutes.