StackState Blog

Artificial Intelligence for IT Operations: a Complimentary Guide

Posted by Joey Compeer on Feb 7, 2018 3:27:38 PM
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I don't have to tell you that modern IT infrastructures are typically very complex with a combination of physical, virtual and cloud components. A lot of IT organizations are using DevOps, Continuous Delivery and Agile approaches to enable continuous improvement, which likewise increase the complexity. 

 

On top of that, enterprises invest in a variety of application monitoring tools (e.g. Dynatrace, AppDynamics and New Relic), data lakes (e.g. Splunk and Elastic) and infrastructure monitoring tools (e.g. Nagios and Zabbix) to manage and monitor their services across on-premise and cloud environments.

 

Despite all these investments, enterprises are still struggling finding the root cause of problems/failures when downtime or performance degradation occur. This traditional approach of manually correlating data sources from different tools falls short. Not only is this process slow and time consuming, but it also requires domain experts from different departments to be involved in troubleshooting. That's not efficient and requires a different and new approach.

 

This new approach is explained in our guide "Guide to Artificial Intelligence for IT Operations". The guide gives an introduction to AIOps, how it works, the benefits and what you'll need to look for in your tool set to help IT Operations deliver efficient and high quality services. 

 

Download your complimentary copy today.

 

 

Topics: DevOps, AIOps

Our Mission

Creating an Error Free IT Environment

To accomplish this, we created the world’s first Algorithmic IT Operations platform that analyzes large volumes of IT topology, telemetry and time from disparate sources and applies various forms of algorithmics to the data in real-time. StackState is able to capture your entire IT stack. In one data model.


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