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.
I use Microtica daily to manage infrastructure across multiple applications and systems. It makes cloud infrastructure management incredibly seamless, even if you have limited cloud or DevOps experience.
The AI Infrastructure Builder has been especially helpful when setting up new environments, saving me time and effort. I'm also excited to try the Incident Investigator and see how much time it can save during debugging and root-cause analysis.
I'm vibe coding a front end that I have to the point of interest, and now need a backend to make it real. Microtica gives me the infrastructure build, but now with the AI agent for investigating, i can offload a lot of the backend debugging onto Microtica. True game changer for the solopreneur and for those needing insights into problem solving the backend.
This is unique. While there are many AI-based code generators, I've been looking for a tool like this to help me look under the hood to see how things are performing and resolve any issues with my cloud-based architecture.
Thank you so much! 🙌 That’s exactly what we set out to build — not just another AI code generator, but something that understands your cloud environment and helps you troubleshoot in real-time. We're glad it resonated with you.
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Framer — Launch websites with enterprise needs at startup speeds.
Launch websites with enterprise needs at startup speeds.
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). 🚀
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)
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?
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.
Solving issues proactively and quickly is a game-changer in DevOps workflows. How does the tool handle noise in logs or transient errors to avoid false positives? @rade_despodovski
@rachitmagon We’re trying to filter out the usual noisy stuff in the logs and applying dynamic queries based on the situation, and also compare things over time to see if an error is just a one-off or keeps happening. It’s not just logs but we look at metrics too. Still a work in progress, but it’s been doing a solid job so far.
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
@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 💪
@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. 🚀
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.
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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!
@georgioski Thank you so much for the kind words! 💛 We’ve put a lot of heart into building these agents to truly support engineers where it matters most — saving time, reducing errors, and making complex systems more manageable. Excited for you to try them out and see how well they fit into your cloud workflows! 🚀
Microtica AI Incident Investigator
Thank you so much for sharing your experience — this means the world to us! 🙌
We designed the AI Infrastructure Builder to take the heavy lifting out of cloud setup, so hearing that it’s saving you time is incredibly rewarding.
Can’t wait to hear what you think of the Incident Investigator — we built it with the same goal: less time debugging, more time building. 🚀