Identify trends & bottlenecks from alerts, in seconds
Doctor Droid's Alert insights tool helps engineering teams improve their existing observability setup by sharing insights & trends from analysis of their Slack alert channels.
Hello Product Hunt Community!
We are Siddarth & Dipesh -- cofounders of Doctor Droid. We're super excited to showcase Alert Insights by Doctor Droid!
Tl;dr The tool helps you get insights & trends of most alerted components by analysing your alerts data in slack channels.
Longer version:
Backstory: We are currently working on R2-D2, an automated production diagnosis product but to get that rolling, we realised that a lot of our value is dependent on being able to automatically read alerts and make sense of identifying where they come from, what they are alerting about and what could be a likely actionable for that alert.
Understanding that, we decided to double down on getting to the depth of alerts & what each alert meant.
This curated data can help engineers & managers leverage data to get insights on the stability of different components at a higher level.
We transformed this data into a LIVE dashboard with some key features:
🪄 Identify most breaking components like databases, services, APIs, and more, ACROSS all tools.
📊 Know the pattern of alerts and their frequency in different channels over the last few months
✌🏽 Deep integrations from different tools like Datadog, New Relic, Sentry, Metabase, Grafana, Cloudwatch, Google Cloud Monitoring, Honeybadger, and more.
✨ One click integration with your slack workspace
If you're curious to get these insights about the stability and health of your system, from just your alerts, sign up here. https://drdroid.io/