Alert Middleware
The first point of response for every alert.
Get started and build agents in under 5 minutes to automate maintenance and toil.
A tool that automates ops shouldn't create more ops — nothing to host, nothing to maintain, and it costs less than an EC2 instance.
The first point of response for every alert.
Fine-tunes thresholds and files tech-debt tickets.
Helps with canary deployments where script-based rollouts aren’t enough.
Investigates any alert or incident end-to-end.
Runbook-based remediation with human approvals.
Analyzes metrics cardinality, high volume logs, and telemetry gaps in code.
Periodic insights on infra costs and monitoring gaps.
Helps with long-horizon infrastructure migrations through tight planning, testing, and change management.
Analyses past incidents to surface long-term strategic improvements.
DrDroid starts with an operating model of your services, owners, dependencies, deploys, dashboards, and past incidents—so every agent begins with context, not an empty canvas.
Background jobs continuously extract, process, and scrape metadata from every connected system, turning scattered tool data into durable organizational context and memory.
available to every agent
Trigger an agent from an alert, a conversation, another agent, or your own automation. Results return to the system where the work already happens.
The page arrives with findings already attached — triage starts before you open your laptop.
Ask, approve remediations, and close investigations without leaving the thread.
Fire an agent from anything that can POST — alertmanagers, cron jobs, internal tools.
Expose your org's context and agents to Claude, Cursor, and any MCP-compatible client.
Kick off investigations programmatically from CI/CD or your own platform.
Your in-house agents delegate to ours, agent-to-agent.
ONE CONTEXT-AWARE AGENT · EVERY WORK SURFACE
Connect your first surface →DrDroid maps every repo, dashboard, K8s pod and cloud resource into one live knowledge graph — then traces the blast radius across connected entities the moment an alert fires.
A GitHub repo maps to a Datadog service, a Grafana dashboard, K8s pods, and AWS resources, automatically.
When an alert fires, the graph traces the blast radius across every connected entity in seconds.
Every alert, deploy, and incident strengthens the graph, surfacing patterns no dashboard can.
We connect to your existing tools, crawl all telemetry, and generate a knowledge graph of your stack.
OAuth into cloud, code, CI/CD, and observability. No agents. No code changes. Live in 30 minutes.
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.
The knowledge graph powers proactive suggestions, root-cause diagnosis, and automated runbooks — all with full context.
Nothing gets thrown away. The second time the same failure appears, DrDroid replays the path that worked and skips the one that didn't. MTTR drops on its own, without anyone writing a runbook.
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.
| 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 |
Cloud, code, observability, incident response and ticketing — wired in via integrations, read-only and reversible.
AWS
Google Cloud
Azure
Kubernetes
GitHub
Bitbucket
Jenkins
Argo CD
Grafana
New Relic
Prometheus
Elastic
SignOz
PagerDuty
OpsGenie
Sentry
Rootly
Rollbar
MS Teams
Linear
Notion
Confluence Watch how engineering teams use DrDroid to cut MTTR and stay ahead of incidents.
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."
"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."
"DrDroid understood our context too well. It gave recommendations which showed deep understanding of the infrastructure and helped reduce 20–30% cost."
DrDroid runs where your data lives, meets the bar your security team sets, and ties its pricing to outcomes you actually care about.
Run entirely inside your VPC or on-prem. No data leaves your network. Deploy via Helm or Docker Compose with air-gapped support.
We tie our success to yours — measurable reduction in MTTR and incident frequency, SLA-backed with quarterly reviews.
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.
Connect your stacks and see your services mapped in minutes.