Scoutflo
AI SRE platform to investigate incidents & fix in production
5.0•10 reviews•1.2K followers
AI SRE platform to investigate incidents & fix in production
5.0•10 reviews•1.2K followers
Scoutflo is an AI SRE platform that helps engineers quickly figure out what’s breaking in production. It pulls data from logs, metrics, APM, cloud, and Kubernetes, understands service dependencies, and suggests the most likely root cause with confidence. So teams can prioritize the right issue and fix incidents faster! 💙
This is the 4th launch from Scoutflo . View more
Scoutflo
Launching today
Start investigating incidents automatically. Scoutflo connects logs, metrics, cloud, and Kubernetes to instantly find root cause, highlight impacted services, and guide resolution steps so your team can fix production issues faster.
Free
Launch Team
Scoutflo
Hey Product Hunt Community! 👋
I'm Kalpesh, co-founder of Scoutflo, and I'm really excited to launch Scoutflo on PH!
Why are we building this:
At Scoutflo, we solve a massive pain point for DevOps and SRE teams.
When something breaks in production, getting context is a nightmare.
Teams are jumping between 5+ dashboards, joining emergency war rooms, and digging through endless logs just to understand what's wrong.
That's where AI agents do well, they can gather all that scattered context instantly.
What Scoutflo Does:
We built AI agents that automatically correlate alerts, logs, metrics, and traces to give SRE teams the full picture in seconds instead of hours.
Since going live, we've resolved over 50,000 production alerts with our platform.
To celebrate our launch, we’re offering a 20% discount on all plans for the first three months to first-time subscribers! Use the code SCOUTFLO2026 at checkout. Offer valid until Feb 28th, 11:59 pm PT.
Scoutflo
Excited to finally have this out in the world 💙
The problem we kept hearing: When production breaks, the actual fix takes 5 minutes. The investigation takes an hour. You get an alert, and then begins the ritual - checking Grafana, grepping logs, looking at deployment history, asking on Slack if anyone pushed something, running kubectl on failing pods. All just to figure out where the problem actually is.
What we built: Scoutflo connects to your observability stack - logs, metrics, traces, Kubernetes, cloud, and understands how your services depend on each other. When an alert fires, our AI agents investigate it the way a senior engineer would:
🔍 Correlate signals across services.
🔗 Trace the impact path.
📋 Check what changed recently.
🎯 Surface the root cause with evidence.
Instead of 60 minutes of dashboard hopping, you get clarity in seconds.
If you're tired of the 3 am dashboard marathon, give it a shot.
Would love to hear what you think!
Congratulations on the launch 🎉
Buying Bottlenecks by Storylane
Congrats on the launch!!
Whautomate
Looking great @kalpesh_bhalekar1 ! All the very best!
CRML
This will make life so easy
Hatable
Resolving 50,000 production alerts sounds impressive! Well done Kalpesh and Vedant!