Operations | Monitoring | ITSM | DevOps | Cloud

ScienceLogic

Automating Root Cause Analysis with AIOps

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 operations management resources from support to “continuous engineering.”

Using AI & ML to Identify Incident Causation

In this week’s podcast episode, we explore the role of AI and machine learning in incident management and response, including the benefits and potential future of these technologies. We welcome guest, Dan Buckley, Director NMS at Hughes Network Systems, who shares his experiences and insights on the subject, discussing the business value of AI and the current state of the AIOps ecosystem.
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How to Mitigate Network Risks to Achieve Highly Resilient Business Services

They say change is good. But in IT operations, change is also the number one cause of outages. According to the Uptime Institute, 49% of all service outages are attributed to configuration and change management errors. That's a lot of avoidable headaches. And because errors often have downstream effects, it may not be obvious what caused an outage, resulting in prolonged downtime that affects revenue-generating business services, results in service level agreement (SLA) penalties, and causes a loss of customer trust. And those costs add up quickly. Gartner figures the meter for an average downtime event runs at $5,600 per minute.

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

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 recent acquisition of Zebrium, and ScienceLogic’s own journey to AIOps.

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Transcending Observability for a Cloud-Native Future

With digital transformations continuing apace and the popularity of cloud-native and microservice-based applications and architectures growing, Gartner sees investments in such technologies and services increasing, predicting that "cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 - up from less than 40% in 2021."