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.
I had a great experience exploring OpsAI by Middleware. The platform is intuitive, efficient, and truly brings the power of AI into operations management. It's impressive how seamlessly it integrates with existing workflows. Excited to see how Middleware continues to innovate in this space. Keep up the great work!
Congratulations to entire Middleware team 🎉🎉🎉🎉🎉🎉
Ops AI looks like a true game-changer!
What excites me the most is the ability to automatically detect and fix production issues with full-stack context — that’s a huge leap from just observability to actual actionability. The GitHub pull request generation is pure gold for any dev team looking to reduce MTTR. Can’t wait to try it out with the free tokens and 1TB offer! 🔥
Kudos to the Middleware team for this powerful step towards autonomous DevOps. 💪 #DevOps #AI
This is gonna game changer for larger SRE teams at enterprise companies. IMO things are gonna more juicy for legacy players after OpsAI launch.
Compare to other similar products this easy to use and and more efficient
Ops AI is revolutionizing how engineering and SRE teams solve problems — moving from reactive monitoring to proactive solutions.
With AI-powered observability and root cause detection, teams don’t just see the issues — they get ready-to-go solutions. Just review, approve, and move forward.
Proud to have built this with the incredible Ops AI team. The future of debugging is here.
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.
Awesome product by Middleware team. I tried its integration with my Github, It's integration is super simple and seamless just few clicks and it will be configured. It helped me identify errors and code changes required for my Project repositories.
Kudos to the team for this awesome Product.
Really a nice product building a one amazing application for my new statup idea . Thank you so much and many many congratulations 👏 🎉 👏 🎉 for your launching ceremony 💐 😍🤩
I really appreciate how it integrates smoothly into existing DevOps workflows without adding extra overhead.
Great Tool . It analyzes data from multiple sources like APM traces, RUM, and logs to identify real problems rather than just triggering alerts. One of its standout features is the ability to suggest and apply fixes with a single click, even generating a GitHub pull request automatically. This makes it a helpful tool for teams looking to reduce response times and streamline their incident management workflows
Ops AI is a game-changer for observability and incident response. It intelligently detects production issues across APM traces, RUM, and logs, saving valuable debugging time. What truly sets it apart is its ability to not only pinpoint problems but also fix them with a single click and even generate a pull request in GitHub. It's like having an observability co-pilot that works fast, accurately, and effortlessly. A must-have tool for modern DevOps teams.
This is super practical, catching issues is one thing, but generating fixes and opening a PR right from the observability layer is a huge timesaver...Looking forward to try it out !!
Congrats on the launch of OpsAI! Love how Middleware is simplifying observability with AI—huge win for DevOps teams. Excited to see how this evolves. Best of luck and looking forward to trying it outout #ProductHuntLaunch
Can I call this an AI observability platform or AI agent observability platform? Sorry for dumb question. Non-techie this side.
Wishing you continued success after such a strong and impactful launch. 🚀
Middleware has been a great addition to our tech stack. It's intuitive, integrates well with our existing tools, and has helped streamline monitoring and performance tracking. Still exploring some features, but the initial experience is solid.
