Zebrium Autonomous Monitoring
Let machine learning catch software problems
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Kevin William David

Zebrium Autonomous Monitoring - Let machine learning catch software problems

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We live in a world where everything is being automated. But catching and understanding software problems still takes a lot of manual work. There's a better way! Let machine learning catch software problems and tell you what happened.

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Jerome Joseph
Congrats on your launch! Best Wishes.
Gavin Cohen
Maker
@getafix_ Thanks for the kind words!
Matt Wright
Solving 1 of the biggest pain points in observability. Thumbs up Zebrium!
Gavin Cohen
Maker
Thanks, @matt_wright. We definitely agree with that!
Nand Nandu
With the explosive growth of logs coming from so many distributed services, it is indeed very hard for human to go through them and find all the issues and create alerts for each one manually and maintain those regex's across software changes. If your software detects issues automatically, that is very cool. Finding problems with logs and correlating them with metrics anomalies is great too.
Larry Lancaster
Maker
@nandu42 Thanks Nandu!
Matt Miller
Gavin, Ajay, Rod and team - congrats on the product launch! Very exciting, and extends the value of ML that was established with InfoSight/Nimble Storage. It will be great to see where this can go as a platform. Kudos!
Gavin Cohen
Maker
@matt_miller6 Thanks for the comment. Things are going really well here. We have a growing installed base, and more importantly, they're getting huge value from our platform.
Sidhartha Mani
This. This is what has been needed in the Kubernetes ecosystem for a while now. A lot of issue we deal with comes from the dynamic nature in which kubernetes orchestrates applications. I like this term "unknown unknowns". There is this surprise that I'm sure most folks in the kubernetes space have encountered, where we couldn't have possibly anticipated the reason some workloads fail. I'm excited to have found a product that address this issue. I'm going to try this out!
Gavin Cohen
Maker
Hi @sidhartha_mani - thanks for the comment. Yep - K8s is the perfect ecosystem for us. Manual hunting through logs and dashboards is really hard when you have a distributed app with hundreds or thousands of microservices. But worse are the number of possible failure modes in these types of architectures - thus the importance of being able to detect "unknown unknowns" :-) Can't wait to get your feedback once you have a chance to try it.
Franck Ardourel
ML and AI technologies are the future. More industries and functions use and leverages these technologies to keep performance up. Not only advanced technologies solve problems faster but they also help you work smarter. DevOps engineers should try Zebrium solution to experience a new amazing way to monitor platforms. Autonomous monitoring first or yo will be last...
Gavin Cohen
Maker
@usedigital Hi Franck - I love what you said at the end. We'll have to start using that as a tag line :-) But seriously we couldn't agree more - we totally believe that the only way to catch and help solve problems in the age of cloud native (lots of complexity) is to leverage machine learning. We'd love you to try it and give us feedback.
Caeli Collins
Rod, Gavin, Larry - Congratulations on the launch. What a great disrupter of all the manual processes we have all created over the years to deal with something that's been biting us for years.
Gavin Cohen
Maker
@caeli_collins Thanks so much, Caeli. Thanks also for all your feedback and advice when our product was still in the very early stages. We're super-happy with where the product ended up.
Ancy Dow
Congrats on the launch, Zebrium team! 🎉
Larry Lancaster
Maker
@ancy_dow Thanks!
G Partain
Zebrium Team - Congrats on the launch! - Cheers, Gabe
Larry Lancaster
Maker
@gabe_partain Thanks Gabe!
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