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Category: Zebrium

Part 3: Automating the Observer

As described in parts one and two of this blog series, a key missing piece of observability is the ability to easily understand what is wrong inside your software system. And machine learning-driven automated root cause analysis is the missing link that addresses this gap because humans are struggling to keep up with the rapid… Continue reading Part 3: Automating the Observer

Published March 14, 2023
Categorized as Observability, SL1, Zebrium
Read More

Part 3: Automating the Observer

As described in part one of this blog series, a key missing piece of observability is the ability to easily understand what is wrong inside your software system. And machine learning-driven automated root cause analysis is the missing link that addresses this gap because humans are struggling to keep up with the rapid growth in… Continue reading Delivering on the Promise of Automated Root Cause Analysis

Published March 7, 2023
Categorized as Observability, Zebrium
Read More

Delivering on the Promise of Automated Root Cause Analysis

As software systems get more complex, the term Observability is increasingly being used alongside more familiar ones like “Monitoring”. In fact, the terms are not synonymous – they mean slightly different things. Monitoring is the act of watching a system to keep tabs on its overall health – in other words keeping an eye on… Continue reading The Observability Challenge: Limitations of the Human Brain

Published February 28, 2023
Categorized as AIOps, Observability, Zebrium
Read More

The Observability Challenge: Limitations of the Human Brain

The world of software is growing more complex, and simultaneously changing faster than ever before. The simple monolithic applications of recent memory are being replaced by horizontal cloud-native applications. It is no surprise that such applications are more complex and can break into infinitely more ways (and ever new ways). They also generate a lot… Continue reading Machine-Learning Automation: Processing, Storing, & Analyzing Data in the Digital Age

Published February 23, 2023
Categorized as Automation, Zebrium
Read More

Machine-Learning Automation: Processing, Storing, & Analyzing Data in the Digital Age

Challenge Seagate Lyve™ Cloud is a storage-as-a-service platform that delivers S3-compatible object storage with a simple and predictable cost structure. It offers ultra-high durability and scale along with enterprise grade security and uptime. When it comes to the reliability and resiliency of the Lyve Cloud Service, there are simply no compromises. Prior to release, the… Continue reading ML-Driven Root Cause Analysis for Seagate Lyve Cloud

Published February 21, 2023
Categorized as AIOps, Monitoring, Zebrium
Read More

ML-Driven Root Cause Analysis for Seagate Lyve Cloud

#1: Observability Full-stack observability is on everybody’s mind right now, and not everybody really understands what it is. And the one key thing that I’ve taken away from this is that it’s not necessarily any new technologies. It’s really a consolidation of existing tools—logs, metrics, traces, and events—that have almost become commoditized at this point.… Continue reading Top Five Takeaways from Cisco Live EMEA

Published February 15, 2023
Categorized as Tools Consolidation, Zebrium
Read More

Top Five Takeaways from Cisco Live EMEA

A lot is expected of automation in IT environments in the next few years. By 2024 Gartner predicts IT automation will drive a 20% reduction in unplanned downtime and lower operational costs by 30%. At the same time, the efficiencies generated by IT automation and analytics will allow organizations to refocus 30% of their IT… Continue reading Automating Root Cause Analysis with AIOps

Published January 12, 2023
Categorized as AIOps, Automation, Observability, Zebrium
Read More

Automating Root Cause Analysis with AIOps

We are excited to announce that ScienceLogic has excelled in the Forrester Wave for AIOps again! We are proud to be named a Strong Performer this year—receiving the highest marks possible in the product vision, execution roadmap, performance, and automation and remediation criterion. Our Chief Product Officer, Michael Nappi, spoke about this great news, our… Continue reading ScienceLogic Celebrates the End of a Stellar Year with Strong Performance in Forrester Wave

Published December 15, 2022
Categorized as ScienceLogic, SL1, Zebrium
Read More

ScienceLogic Celebrates the End of a Stellar Year with Strong Performance in Forrester Wave

Our Vice President of Technical Alliances, Erik Rudin, speaks about the importance of partners, automation, and data. Three key takeaways from re:Invent from our perspective: Number one, data. It’s all about data. There’s so much data coming into the system. Amazon has created a lot of new services and processes to help with that. This… Continue reading AWS re:Invent 2022 Recap: What Happened In Vegas …

Published December 13, 2022
Categorized as AIOps, Automation, Security, Zebrium
Read More

AWS re:Invent 2022 Recap: What Happened In Vegas …

Alert! Friday Fire Drill It’s the end of a quiet Friday and you’re about to finish up for the week when Slack starts going crazy. Orders aren’t being fulfilled and no one has any idea why. Something bad is happening, but what is it and why weren’t you alerted by your monitoring tool? You check… Continue reading Uncover Blind Spots in Your Monitoring

Published December 9, 2022
Categorized as AI/ML, AIOps, Zebrium
Read More
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