Author: Crystal Williams
ScienceLogic Product Tour: Understanding—and Solving—Root Causes of Risk
Today’s enterprises aspire to achieve IT process automation to help manage their infrastructure more efficiently and effectively. An AIOps platform like SL1 from ScienceLogic makes IT automation possible by discovering all devices, configuration, ingesting data from all resources, and creating an operational data lake populated with accurate and timely data. That data ensures the best… Continue reading ScienceLogic Product Tour: Automate your Path to IT Productivity
ScienceLogic Product Tour: Automate your Path to IT Productivity
1.) DevOps.com explores how AIOps is helping businesses overcome today’s IT challenges. By leveraging AIOps-powered solutions in use cases like observability, overworked and understaffed technology teams are improving their ability to manage complicated, hybrid and multi-cloud IT environments, automate processes and optimize their businesses. As companies prepare for a potential economic downturn and a reduction… Continue reading News Roundup, March 17, What’s Happening in AIOps, Observability, and ITOps
News Roundup, March 17, What’s Happening in AIOps, Observability, and ITOps
Digital business services are spread across on-premises, cloud, and SaaS environments. But assuring great service performance is increasingly difficult. Organizations are shifting from device-based monitoring to business service-based monitoring in order to meet the increasing expectations of end users and the business. And now you can see SL1 Business Services in action—without scheduling a live… Continue reading ScienceLogic Product Tour: Improving Business Outcomes with Service-Centric Monitoring
ScienceLogic Product Tour: Improving Business Outcomes with Service-Centric Monitoring
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
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
Delivering on the Promise of Automated Root Cause Analysis
1.) CXO Today offers organizations strategies for a seamless cloud migration. 73% of organizations have at least one application nested in the cloud. If you have legacy systems that are increasingly inefficient in terms of unreliable firewalls, having hardware or software that can no longer keep up with the growing business needs, then migrating to… Continue reading News Roundup, March 3, What’s Happening in AIOps, Observability, and ITOps
News Roundup, March 3, What’s Happening in AIOps, Observability, and ITOps
ScienceLogic’s SL1 is engineered to excel in today’s hybrid IT environments, discovering legacy gear buried in your on-premises data center as well as services and applications that live out in the cloud. SL1 is serious AIOps for IT operations teams that are serious about getting the most out of their investments in IT. We’ve created… Continue reading ScienceLogic Product Tour: See Across Hybrid IT Environments & Close Visibility Gaps
ScienceLogic Product Tour: See Across Hybrid IT Environments & Close Visibility Gaps
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
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