Ops AI by Middleware - Observability copilot to resolve production issues instantly
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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.
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I'll be honest, I am genuinely excited about how Ops AI finds and fixes production issues automatically. I am also planning to test the "one click" fix and pull request feature, I think it would save a lot of time and headache 😅.
Wishing you all great success ahead. Upvoted and supporting the journey! 🔥👏
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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
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Copilot AI buat masalah produksi? Wajib banget! 🧠🚨 Ops langsung naik level bareng Middleware. ⚙️🚀
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Congrats on the launch, Middleware team! 🚀 It’s refreshing to see observability tools evolve beyond just dashboards and alerts into something that actively solves problems. The idea of AI not just flagging issues but auto-generating fixes feels like a step toward a self-healing infrastructure—almost like giving devs a co-pilot that learns from their stack over time.
Curious—how do you envision Ops AI shaping the culture of engineering teams? For example, could it shift how on-call rotations work or even redefine what ‘incident response’ looks like in 2-3 years?
Excited to see where this goes (and kudos on the YC backing!). P.S. The ‘free forever’ tier is a genius move for grassroots adoption.
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This looks exciting. Congratulations to the entire team!!
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I'll be honest, I am genuinely excited about how Ops AI finds and fixes production issues automatically. I am also planning to test the "one click" fix and pull request feature, I think it would save a lot of time and headache 😅.
Middleware
@vedant_domadiya Sure Vedant, do try and let me know how much time you're able to save and also help you to remove troubleshooting stress.
Congrats on your successful launch!
🚀 Big congrats to the Middleware team on the launch of OpsAI!
Looks like a solid step forward in the observability space. Excited to see how this evolves.
Shoutout to @laduramvishnoi @rohanrecommends @devmeghraj @sawarams , and the entire team behind this – amazing effort!
Wishing you all great success ahead. Upvoted and supporting the journey! 🔥👏
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
Copilot AI buat masalah produksi? Wajib banget! 🧠🚨 Ops langsung naik level bareng Middleware. ⚙️🚀
Congrats on the launch, Middleware team! 🚀 It’s refreshing to see observability tools evolve beyond just dashboards and alerts into something that actively solves problems. The idea of AI not just flagging issues but auto-generating fixes feels like a step toward a self-healing infrastructure—almost like giving devs a co-pilot that learns from their stack over time.
Curious—how do you envision Ops AI shaping the culture of engineering teams? For example, could it shift how on-call rotations work or even redefine what ‘incident response’ looks like in 2-3 years?
Excited to see where this goes (and kudos on the YC backing!). P.S. The ‘free forever’ tier is a genius move for grassroots adoption.
This looks exciting. Congratulations to the entire team!!
Middleware
@new_user___1762025498878f6acee817a THank you, Ashok! Try it yourself and let me know your feedback.
Kudos to the entire Middleware team. Congratulations on your successful launch!🎉🚀
Middleware
@sai_mohit_ambekar THank you, Sai! This means a lot to us.
🚀 Huge congratulations to the entire Middleware team on the successful launch of Ops AI ! 🎉
Middleware
@anubhav_sinha4 Thank you, Anubhav.
🚀 A big shoutout and heartfelt congratulations to the entire Middleware team on the successful launch of Ops AI! 🎉 Well done!
Middleware
@rishi_patel16 Thank you Rishi for your support.