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.

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Launch tags:SaaS•Artificial Intelligence•Tech

Launch Team

Otari by Mozilla AIControl Your LLM Infrastructure A/B

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DrDroid

Maker

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I'm Siddarth, CEO & Co-Founder at DrDroid. We built DrDroid because on-call was breaking for the teams we talked to, not because alerts weren't firing, but because too many were. One root cause would set off Datadog, Sentry, and a dozen other tools at once, and someone still had to sit there at 3 am, ack each one by hand, and piece together that they were all the same incident. Today we're launching Alert Grouping:- DrDroid now watches your incoming alerts, recommends grouping definitions based on what's actually flowing in, and generates a script for each one that decides what belongs together. Alerts collapse into one issue instead of a dozen pages, with the reasoning attached so it's never a black box. A few things we're proud of: - You're in control of the logic. Every grouping definition ships with a readable script, and you can add your own grouping expectations (by service, label, title) right in the agent profile. - Noise you already know about gets suppressed, not grouped — rule-based, not AI guesswork. - Notifications go where they should. Slack alert on a new issue or when something gets folded into one, routed to the right team's channel, testable before it's live. This ships alongside our self-learning agent, so grouping gets sharper the more your team investigates. Would love to hear how your team currently handles duplicate/noisy alerts and what would make this actually replace your pager. We're in the comments all day.

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1d ago

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