DrDroid is an AI-native on-call platform to accelerate debugging and enable new engineers to ramp up faster for being able to debug issues. It helps you reduce your alert fatigue and noise using AI.

​
Alert fatigue is real

On-call becomes stressful when every alert looks potentially real, yet turns out to be false positive, and then sometimes in a stream of alerts, a critical one gets overlooked and missed. Add to that, if your SLAs are tight, then so would be your nights when you’re on-call.

​
How does DrDroid help?

3 ways in which DrDroid helps:
  • It automatically (and continuously) groups your alerts into potential problems and help you make sense of the situation faster without being distracted by noisy alerts.
  • It automatically triages the alert, shares potential root causes for the issue and how you could fix it.
  • It can detect issues in your application even when you do not have alerts in place.

​
How does DrDroid work?

DrDroid’s platform is designed to not just setup escalation policies for your services but to setup your entire context engine:
  • Integration with monitoring tools — ensures relevant context (logs, metrics, etc.) is already analysed and available to access when you see an issue. Check our 50+ integrations.
  • Understanding of your topology — identifies critical services, resources and correlations in your infrastructure
  • Wiki & Knowledge base — integrate with Confluence or maintain your SOPs and knowledge base in DrDroid

​
How to get started with DrDroid?

To get started with DrDroid, you can send us alerts from your tools as webhooks. Alternately, if all your alerts are routed to Slack — you can install our Slack app in channels where you receive the alerts to get started.