The awards were established to honor, thank, and recognize the many faces of our clients who have not only demonstrated success with ScienceLogic SL1 over the past year, but have gone even further by sharing the impact with their organization and peers. This knowledge-sharing inspires growth and creates best practices that resonate among the industry… Continue reading Customer Success Honoree Award Winners: Leading the Way Through AIOps Transformation
Author: webmaster@sciencelogic.com
Customer Success Honoree Award Winners: Leading the Way Through AIOps Transformation
The U.S. Government Cloud First initiative is a policy that was introduced in 2011 by the U.S. federal government to promote the adoption of cloud computing across all federal agencies. In addition, the Cloud First policy is intended to promote standardization and best practices for cloud computing across all federal agencies. This can help ensure… Continue reading Accelerating Agencies’ Hybrid Cloud Operations
Accelerating Agencies’ Hybrid Cloud Operations
As more organizations embrace the advantages offered by AIOps platforms to more effectively and efficiently monitor and manage their technology estates, ScienceLogic wanted to get an objective sense of the reasons and results behind their decisions. We get a lot of feedback from our customers, and it plays an important role in how we work… Continue reading Forrester Study: Gaining Confidence in AIOps is Key to Reaping Significant and Transformational Benefits
Forrester Study: Gaining Confidence in AIOps is Key to Reaping Significant and Transformational Benefits
Cloud transformation is real. And it’s spectacular. According to global business management and consulting firm McKinsey & Co., cloud transformation is the engine driving $1 trillion in economic activity for Fortune 500 companies alone. Innovations enabled by the cloud touch nearly every aspect of running a successful business, including the development of new products and… Continue reading Cloud Transformation Strategy & Solutions
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