AI that detects issues and triages alerts
Reduce alert noise and fatigue in 15 minutes by connecting your alerts. DroidAgent will analyse the alerts continuously, monitor your services and keep you updated if there's any issues.
Auto-triaging, service health monitoring, human escalations & recommendations to fix
Get summary of 4 issues instead of 89 alerts
Continuous monitoring of your services
AI that escalates when things look critical or urgent
Get quick fix recommendations & suggestions
Capability to understand your topology, monitoring data, & company context
Agent that knows your team's context
Automated Discovery of architecture
Service Topologies and correlations are automatically identified by our platform within your architecture.
Monitoring tools
integration
Leverage intelligence without changing behaviour or tools.
50+ integrations, with proxy service to connect to your tools within your VPC.
Knowledge Repo
Don't start from scratch. Make the agent intelligent with your context.
Connect with Confluence, Github KBs or documents directly.
And contribute back meaningfully, and reliably
Update Knowledge Base
Auto-updates knowledge base from learnings of everyday issues and conversations.
Alert Configuration Recommendations
Gives suggestions on thresholds, missing alerts and noisy ones over time.
Handles the toil
Can take care of sharing updates with the team, creating documents and acknowledging trivial issues and false positives.
Configure agent to do self-healing, hot fixes and more
And do it as code, docs or a combination
k8s auto-restart
Auto-execute specific command in a specific kubernetes cluster based on whether a certain type of log was present in your Grafana Loki or not.
You can trigger it from a human message, k8s alert or recurring schedule.
Service Latency Spike Analyser
Write a prompt explaining how you investigate latency issues in a service.
Give this prompt to AI along with access to Grafana dashboards and Loki logs, get analysis in reply to Slack alert.
Raise PR from Exception
Given a Code Exception from Sentry, let AI Agent investigate code in your repo and even raise a PR if it can figure out a fix.
Malicious IP Restriction
Given a brute force attack on your website, identify if the IP is malicious or not (from VirusTotal) and then if malicious, identify the relevant KubeArmor policy and apply it on the respective host
Clear Server Cache
Purge cache in a server using a sequence of commands. Use AI to auto-fill variables in the commands based on the text from alert
5xx error debug
Fetch logs from the k8s cluster using a certain set of commands and then leverage AI to analyse the logs, and send you a report on the root cause for this.
Explore Playground
Playground only available in web mode
Designed for teams that have multiple sources of truth
DrDroid integrates with your entire monitoring and infrastructure stack.
Built on Open Source trusted by Enterprises.
Doctor Droid runs on PlayBooks, our open source runbook automation engine powering SRE & platform teams at scale — including Palo Alto Networks.
"DrDroid’s PlayBooks helped our on-call teams fix issues faster without always needing senior engineers. Clear steps, easy to follow, and way faster than building our own."
Senior Staff Engineer, Palo Alto Networks
Ready for use in Production
See how teams are leveraging DrDroid
I saw only a sequence of Slack messages how the AI assistant found the anomaly and run a rolling restart. Three minutes from detection to resolution. No human intervention required. No customer impact. This is not the future of SRE - this is the current reality.
Over the last 1 year, we have observed a 50% reduction in Mean Time to Recovery across all incident types, a 72% decrease in toil-related tasks for engineers & 40% improvement in overall system availability.
DrDroid has been helpful in providing initial diagnostics on server metric alerts and Elasticsearch latency. The tool delivers valuable insights that have helped us identify issue and address them promptly. We look forward to expanding its integration to collect a broader range of metrics and enhance our observability stack further.
DrDroid’s open-source PlayBooks have been a big help for our SRE and on-call teams. They make it easy to share knowledge, so everyone knows what to do when something goes wrong. This has really helped us fix issues faster and without always needing help from senior engineers.
The tool is simple to use, and it gives clear steps that are easy to follow. It also keeps track of what was done, which makes things more organized and reliable.
The team behind DrDroid has been great — they listened to our feedback and made improvements quickly. We’re really glad we chose this instead of building something ourselves. It’s saved us a lot of time and effort.
In the high-stakes world of global distributed computing at Macrometa, every second of downtime matters. DrDroid has revolutionized how we approach incident management.
To reduce our triage time while meeting SLAs and delivering a reliable platform experience, DrDroid empowered our SRE team with proactive insights during incidents, streamlining our first-level triage and significantly reducing both our mean time to detect (MTTD) and mean time to resolve (MTTR).
The platform gives us the confidence to take decisive next steps in minutes rather than hours. It’s like having a seasoned SRE on call 24/7. Additionally, the Dr. Droid team is attentive, engaging, and receptive to our feedback regarding critical feature improvements.
Thanks to Dr. Droid, we have successfully scaled our reliability practices without increasing incident toil. It’s truly a game-changer for any modern operations or platform engineering team.
I saw only a sequence of Slack messages how the AI assistant found the anomaly and run a rolling restart. Three minutes from detection to resolution. No human intervention required. No customer impact. This is not the future of SRE - this is the current reality.
Over the last 1 year, we have observed a 50% reduction in Mean Time to Recovery across all incident types, a 72% decrease in toil-related tasks for engineers & 40% improvement in overall system availability.
I saw only a sequence of Slack messages how the AI assistant found the anomaly and run a rolling restart. Three minutes from detection to resolution. No human intervention required. No customer impact. This is not the future of SRE - this is the current reality.
Over the last 1 year, we have observed a 50% reduction in Mean Time to Recovery across all incident types, a 72% decrease in toil-related tasks for engineers & 40% improvement in overall system availability.
Frequently Asked Questions
Everything you need to know about Doctor Droid
Start Fixing What Matters. Ignore the Rest.
Let your infra team focus on real issues — not Slack noise.
