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AI Infrastructure Memory
AI that remembers every cloud resource, change, & solution.
8 followers
AI that remembers every cloud resource, change, & solution.
8 followers
AI-powered infrastructure memory platform that remembers your entire cloud environment—not just documentation. It tracks AWS, Kubernetes, Docker, Terraform, Linux, RDS, Redis, deployments, incidents, fixes, and infrastructure changes. Ask questions in natural language and instantly get context-aware answers, past history, and solutions—helping DevOps teams troubleshoot faster and never lose operational knowledge.
👋 Hi Product Hunt!
I'm excited to introduce **AI Infrastructure Memory**.
I built this product because DevOps teams often lose valuable infrastructure knowledge. Information about AWS resources, Kubernetes clusters, Terraform deployments, Docker containers, Linux servers, incidents, and fixes gets scattered across dashboards, documentation, tickets, and chat messages.
AI Infrastructure Memory acts as a persistent knowledge layer for your infrastructure. It remembers resources, deployments, configuration changes, incidents, and past solutions, allowing you to ask questions in natural language and get instant, context-aware answers.
This is just the beginning, and I'd really appreciate your feedback. What features would make this more useful for your DevOps or cloud team? Thanks for checking it out!
One thing that would really help our team is adding a way to tag or mark "known good" configurations and rollback points so when something breaks we can quickly diff against a stable baseline. Right now we know the data is captured but being able to compare states side by side visually would save a ton of time during incidents.
@ufukt99302 Thank you for the thoughtful suggestion, Ufuk!
That's an excellent idea. A visual comparison between a "known good" infrastructure state and the current environment, along with rollback points, would make incident response much faster and safer. I'm exploring features like infrastructure snapshots, state comparison, and historical timelines, and your feedback reinforces how valuable they could be.
I really appreciate you sharing this—it has definitely been added to the roadmap
Would love to see integration with Slack or Teams so I can query past incidents and infra changes right from chat without having to open another tab. That would make troubleshooting even faster during on-call.
@melisawixm Thanks so much, Melisa! That's a great suggestion.
Slack and Microsoft Teams integration are definitely on the roadmap. The goal is to let engineers ask about past incidents, deployments, infrastructure changes, and previous solutions directly from their team chat without switching tools.
I really appreciate the feedback—it helps shape the product. Thanks for checking it out! 🚀
One thing that would really help our team is adding a way to log who made which change and why. When something breaks at 2am and you ask the AI for context, knowing the person behind a Terraform update or config change makes handoffs way easier. Could be a simple tag or note attached to each tracked event.
@kamilepiirxwoh Thanks, Kamile! That's a great suggestion. Tracking who made a change, why it was made, and attaching notes to every infrastructure event is definitely on the roadmap. I can see how this would make on-call troubleshooting and team handoffs much easier. Thanks for the valuable feedback!
finally something that actually knows my aws setup without me digging through slack threads. asked why a rds instance kept rebooting and it pulled up a months-old terraform change in seconds.
@kevsertekue1qw Thank you, Kevser! I'm really glad to hear that. The goal of AI Infrastructure Memory is to help engineers find infrastructure history instantly without digging through Slack threads or old documentation. I'm continuously improving it with deeper cloud integrations and smarter AI insights. Thanks for your support!