Middleware

Middleware

Full-Stack Cloud Observability

5.0
6 reviews

1.5K followers

Middleware is a YC backend full-stack AI observability platform that helps developers detect, diagnose, and resolve issues in real time—automatically. By providing deep insights across your entire stack, you ensure optimal performance and reliability for AI-powered applications.
This is the 2nd launch from Middleware. View more
Ops AI by Middleware

Ops AI by Middleware

Observability copilot to resolve production issues instantly
Ops AI is an observability co-pilot that detects production issues across various sources, including APM traces, RUM, and logs. It then fixes these issues with a single click and generates a pull request in GitHub.
Ops AI by Middleware gallery image
Ops AI by Middleware gallery image
Ops AI by Middleware gallery image
Ops AI by Middleware gallery image
Ops AI by Middleware gallery image
Ops AI by Middleware gallery image
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What do you think? …

Laduram Vishnoi

Hey 👋 Product Hunt!

I’m Laduram, founder and CEO of Middleware. Super excited to introduce our latest launch: Ops AI — your observability co-pilot that not only detects issues in production, but actually fixes them.

With Ops AI, resolving production problems becomes as simple as clicking a button. When something breaks, you’ll get an alert. From there, just ask Ops AI for a fix — it analyzes the issue, identifies the affected code using GitHub’s MCP server, and automatically creates a pull request with the fix. No more digging through logs or guessing root causes.

Why Ops AI?

Middleware is a full-stack observability platform — we do infra monitoring, APM, logs, RUM, synthetic monitoring, and browser testing. That means we have complete context when something goes wrong and can resolve issues faster and smarter than traditional tools.

To celebrate our launch, we’re offering an exclusive 2 million free tokens and 1TB of data ingestion for the next 30 days — just sign up in the next 24 hours!

Would love to hear what you think 💙

Thanks for the support,

Laduram + Middleware team 🫶

Sawaram Suthar

@laduramvishnoi Developer spend almost 60% time on troubleshooting and resolving production issues. Thats huge.

So, to overcome that, we have announced the launch of Ops AI, a powerful new tool that autonomously detects and resolves application issues in production environments. In early testing, the feature enabled engineering teams to improve productivity by nearly 80%.

I believe it will significantly streamline your workflow and save developers' valuable time.

Let us know how you are adopting AI to troubleshoot and resolve product issues in your company.

Big congratulations on the launch, Team Middleware.

Ravi Shahtri

@laduramvishnoi Congratulations!! Really excited to try the product. Can you send the link?

avinash shashtri

@laduramvishnoi congrats guys, lets go 🤘🏻

Dev Tronysaj

@laduramvishnoi hey congrats man!! really excited for this 🚀

Skylan Sarveta

@laduramvishnoi Siiuuuu!!! lesgo really excited

Raju Ram

Enhancing Development Efficiency with Ops AI by Middleware

The OpsAi feature significantly enhances the software development lifecycle by providing robust capabilities for issue detection and root cause analysis in released code. Leveraging a powerful AI tool, OpsAi accurately identifies the origin of code-related issues, streamlining the debugging process for development teams.
Beyond identification, OpsAi also offers proactive resolution by suggesting potential fixes. This advanced functionality includes the ability to generate pull requests (PRs) directly within the Git repository, incorporating the suggested source code changes. Development teams can then review and merge these PRs, rapidly resolving identified issues.

It's clear that the concept behind the @Middleware Ops AI is all about empowering development teams and dramatically accelerating software delivery. It truly is a powerful, next-generation feature. 🚀🚀

Sawaram Suthar

@rajuj6 Thank you Raju! Great job

Kaelani Mishtry

@rajuj6 yes raju ji, this is big huge congratulations 🥂

Keval Bhogayata

🚀 Huge congratulations to the entire Middleware team on the successful launch of Ops AI ! 🎉

Ops AI is redefining how engineering and SRE teams will debug the issues at hand, with AI-driven observability, intelligent root cause detection.

Observability users will not just get the issues highlighted, now they will get the solution as well, all they need to do is review the solution !!

It's been an incredible journey building this together with the Ops AI team — from brainstorming to shipping something truly impactful.

Let’s keep pushing boundaries. Onwards and upwards! 🚀

Sawaram Suthar

@bhogayatakb Thank you Keval! lets gooooooo...

Raju Ram
@bhogayatakb thank you very much. You always rocks 😎🚀
Shruti Saraswat

Great work team!! Congratulations on your successful launch.

Sawaram Suthar

@shruti_saraswat Thanks! Really appreciate.

Vivek

Built by developers, for developers – Ops AI.

No more spending hours digging through logs or debugging production issues.

Let Ops AI handle all of that so developers can focus on building, not fixing.

Our goal is simple — save time and boost productivity.

With that in mind, we built Ops AI.

It automatically collects application issues in real time, finds the root cause, generates a fix, and raises a PR — so developers can just review and merge.

Would love to hear your feedback.

Congratulation team @Middleware for building product which actually helps developers in solving problems.

Sawaram Suthar

@vivek_tilva1 Thanks, Vivek! It was the result of the team Middleware's hard work.

Raju Ram

@vivek_tilva1 Thanks for your support, well done!

Tanmay Parekh

All the best for the launch @laduramvishnoi & team!

Sawaram Suthar

@parekh_tanmay thanks, Tanmay! Appreciate your time for wishing us.

Pulin Yu

I found its function of automatically analyzing, identifying, and creating requests to resolve production issues so full of observability! Congrats on the launch and great work!

Sawaram Suthar

@pulin_yuuu Thanks, Pulin! Thats the future of observability, developers consume most of their time on troubleshooting issues, so once it is automated, it can make them more productive.

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