Zebrium Autonomous Monitoring

Let machine learning catch software problems

2 followers

Let machine learning catch software problems

2 followers

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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Launch tags:Developer Tools•Artificial Intelligence•Tech

Launch Team

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Zebrium Autonomous Monitoring

Maker

I've been on the "short end of the stick" building rules, maintaining them, managing dozens of engineers building and maintaining monitoring solutions and pipelines.... for 20+ years. More than once I've been heads-down at Zebrium when I hear the familiar Slack-ding only to see our own software just alerted us to root cause of a problem in our own software!!! It's frikin brilliant! I'll tell you, it makes me giddy every time I use the UI or see one of those Slack alerts in action.

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6yr ago

Larry, you are a proven wizard in predictive and autonomous monitoring! Zebrium is a guaranteed success and you will make such a difference in the world!

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6yr ago

Zebrium Autonomous Monitoring

Maker

@joy_king Thanks Joy!

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6yr ago

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.

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6yr ago

Zebrium Autonomous Monitoring

Maker

@nandu42 Thanks Nandu!

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6yr ago

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!

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6yr ago

Zebrium Autonomous Monitoring

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.

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6yr ago

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!

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6yr ago

Zebrium Autonomous Monitoring

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.

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6yr ago

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...

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6yr ago

Zebrium Autonomous Monitoring

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.

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6yr ago

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.

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6yr ago

Zebrium Autonomous Monitoring

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.

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6yr ago

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