Microtica AI Incident Investigator - An AI Agent that tells you why your systems break
Microtica’s Incident Investigator is an AI Agent that tells you why your systems break. It analyzes logs, deploys, and configs to surface the root cause — fast. No more dashboard hunting. Just context, clarity, and confidence in your incident response.
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Microtica AI Incident Investigator
Hey Product Hunt! 👋
I’m Rade, co-founder and CTO of Microtica.
Today we’re launching something that’s been brewing for a while:
The AI Incident Investigator — your new teammate for figuring out what broke, why, and how to fix it.
I’ve lost count of how many times I’ve asked:
“What changed yesterday?”
“Why is staging slow?”
“Where do I even start debugging this?”
The Incident Investigator is an AI Agent that connects the dots across deployments, configs, logs, and telemetry and gives you the root cause in plain English.
We built this because DevOps doesn’t need more dashboards. It needs answers.
Our AI Agent helps you:
Check ECS Fargate task health
Analyze CloudWatch logs
Diagnose ALB error spikes
Identify crashing containers
Catch config issues across your infra
No digging. No dashboards. Just answers.
This is just the beginning of what AI can do in real systems. And we’re proud to be building it.
What You'll Get:
✨ Early access to our AI Agents MVP
💬 A direct line to the product team
🎁 1-month ESSENTIAL PLAN free as thanks for feedback
🧠 Become a founding tester with badge + visibility
What We’re Testing:
- Resolving issues and finding root causes with The Investigator
- What you’d want an AI DevOps teammate to actually do
Would love to hear your feedback, stories, or even war-room tales.
Let’s make DevOps a bit less painful (and a lot more productive). 🚀
– Rade
@rade_despodovski Works with Kubernetes too?
Microtica AI Incident Investigator
Hi@masump not in the beta, but it’s next on our list!
Curious what would you want to see from a Kubernetes integration?
To VC or NOT Quadrant
Great team, awesome product!
Microtica AI Incident Investigator
Thanks for the support @damjandano 🙏
Microtica AI Incident Investigator
@damjandano Thank you so much - your support means a lot to our team!
We’ve poured a lot of effort into making this AI truly helpful for DevOps teams, and hearing this from you keeps us motivated to push even further.
Howitzer for Reddit
Oh this will surely be a game-changer. Long term Microtica user here, and I can share nothing but positive experiences with the platform so far. But introducing AI into the game will surely power-charge our stack. If you need beta testers, sign me up. Congrats guys and good luck with the launch
Microtica AI Incident Investigator
@stefan_kotevski Thank you so much for the kind words — it truly means a lot coming from a long-time user!
We’re incredibly excited about what AI can unlock for engineering teams, and it’s even more rewarding to build it alongside people who’ve been with us on the journey.
And yes — we’d love to have you in the beta group for upcoming agents! You’re officially on the list 😊
Thanks again for the support — let’s power-charge together 💪
Microtica AI Incident Investigator
@stefan_kotevski Thank you so much - your words mean a lot to us! 🙌
Hearing this from a long-term Microtica user makes the launch even more special. We’re thrilled to bring AI into the stack and can’t wait for you to try it out.
Beta testers like you are exactly what will help us refine and push this forward. 🚀
BestPage.ai
No more digging thru 10 dashboards? That’s insanely smart—finding the root cause fast is like a dream come true for devs, tbh. You folks nailed it!
Microtica AI Incident Investigator
Hi@joey_zhu_seopage_ai, so glad that resonated! 🎯 that’s exactly the pain we kept hearing — too many dashboards, not enough clarity.
When incidents hit, what’s the first thing you usually reach for? Would love to hear how you tackle root cause today.
Thanks!
Parsagon
As a machine learning researcher who used to work on bug detection models, this is awesome! Do you have any metrics on how well the AI performs on finding different kinds of issues? (The nerd in me has to ask)
Microtica AI Incident Investigator
@sand1929 Love this question — thank you! 🙌
We’re actually building out more benchmark-style evaluations right now, but here’s what we can share so far:
In real-world ECS/ALB incidents, the AI identifies a likely root cause in under 30s in >80% of cases
For log-based analysis, it surfaces the correct failure point or config drift in ~70% of complex scenarios
We’ve optimized it to be explainable — even when it’s uncertain, it tells you why
We’d love to chat more if you’re up for a deeper ML convo — especially from someone who’s worked on bug detection. Ping us! 😊
Parsagon
@marija_naumovska1 Oo absolutely! Would love to chat at some point! (Once you're less busy with your launch of course :) )
Microtica AI Incident Investigator
@sand1929 Let’s connect once the launch whirlwind settles down a bit — I’d really enjoy chatting more. Appreciate the support! 😊
Since the effectiveness of your software depends heavily on the quality and completeness of logs, telemetry, and config data, how do you ensure that the data is accurate and reliable enough to deliver consistent results?
Microtica AI Incident Investigator
@vouchy Great point! The quality of signals definitely impacts the outcome.
Right now, we rely on what’s already available in your system like logs, metrics, traces, and config data and surface insights based on that. While we don’t enforce data standards yet, we design our AI to work with the most common patterns and formats teams already use. Improving data validation and coverage checks is something we're actively exploring.
To ensure consistent results, the Incident Investigator:
Correlates multiple sources (logs, metrics, deployments, config) to avoid single-point failures
Uses LLMs trained on real incident patterns to interpret partial or noisy data
Surfaces uncertainty when key signals are missing, instead of guessing
Shows its work — every insight is traceable and explainable
Tidyread
Wow, the AI Incident Investigator sounds like a lifesaver for DevOps teams!
I'm curious about how it handles different cloud environments. Does it support multi-cloud setups, or is it optimized for a specific provider?
Microtica AI Incident Investigator
Hi @jaredl , right now, you can choose which cloud account and region you want to investigate, giving you control over where the AI focuses.
We’re currently focused on AWS, but multi-cloud support is definitely on our roadmap — GCP and Azure are next in line! Would love to hear which cloud environments you’re working with.
Microtica AI Incident Investigator
Hey Product Hunt 👋
Aleksandar here - co-founder & COO at Microtica 👨✈️
Rade gave you a great glimpse into the how behind our AI Incident Investigator. Let me share the why from a business perspective.
We’ve spent years watching engineering teams sink hours — and thousands of dollars — into chasing down incident root causes.
Not because they lack tools… but because they lack clarity.
⏱️ Every hour your team spends investigating is an hour not spent shipping value.
💸 Every delay bleeds into lost customer trust and mounting cloud costs.
🧠 And every incident becomes a fog of war that slows everyone down — not just engineers, but Ops, Product, and even Finance.
That’s why we built this.
Microtica AI Incident Investigator isn’t just another dashboard.
It’s a thinking teammate that shows up when it matters most during chaos.
It turns your infrastructure into readable, actionable insights.
So your team can move faster. Stay in control. And finally, focus on what matters.
Finally, someone’s here to rescue us from the endless sea of logs… If this had existed earlier, I might’ve been off work by now.....
Microtica AI Incident Investigator
@elemen Haha, we’ve heard that one a lot lately! 😅
That endless scroll through logs is exactly what inspired us to build the Incident Investigator.
Glad it resonates — hope it gives you back those hours going forward!
Let us know how it works for your setup — we’d love to hear your feedback.
Microtica AI Incident Investigator
Hey Product Hunt 👋
I’m Marija — co-founder at Microtica and someone who’s spent the last few years deep in the world of cloud infrastructure, DevOps pain points, and (more recently) AI.
Today’s launch means a lot to me personally.
We’ve built tools before — and Microtica has been live for a while — but this one feels different. The AI Incident Investigator is not just a feature… it’s a step toward the future we believe in:
✨ DevOps teams empowered by AI, not replaced by it.
I’ve seen too many engineers burned out chasing bugs through dashboards and logs for days. This Agent was born out of that frustration — and our belief that there’s a better way.
I’m proud of our team. I’m proud of what we’re building.
And I’d love your thoughts, support, and honest feedback.
Let’s shape the future of DevOps — together. 💛
— Marija
Investigator by Microtica sounds like a game-changer for DevOps teams. Root cause analysis without the dashboard rabbit hole? Yes, please. This could seriously reduce downtime and boost team confidence.
Such an amazing team can’t go wrong! Microtica’s AI Agents for DevOps look like a smart way to take the hassle out of managing infrastructure and analyzing logs. Automating those repetitive tasks with AI could save teams a lot of time and reduce mistakes. I’m looking forward to seeing how well they integrate with popular CI/CD tools and cloud platforms. Congrats to the team!