Empower your organization forward by adding context to your IT service modeling. Service modeling adoption in its various dimensions is defined by interdependencies—whether it’s a bidirectional integration between DDM and CMDB/CMS solutions, or the growing role of analytics and AIOps. Modern IT service modeling provides context for analytics, automation, monitoring, discovery, service catalogs, and other… Continue reading IT Service Modeling in the Age of Cloud and Containers
Market Segment: Public Sector
Automation, AI, and Analytics: Reinventing ITSM
IT’s adoption of automation has largely been ad hoc, attempting to address specific IT tasks and processes one at a time. Recently, digital transformation has brought strategic automation initiatives to the forefront. In “Data-Driven IT Automation: A Vision for the Modern CIO”, EMA analysts Dennis Drogseth and Dan Twing present the findings from 400 global… Continue reading EMA Report: How Automation Is Transforming IT for the Digital Age
ScienceLogic SL1 Colosseum V2 Release
The transition to the cloud continues unabated, along with the dramatic increase in operational complexity. Unfortunately, legacy monitoring tools only compound this complexity. This white paper examines how today’s hybrid cloud infrastructures pose unprecedented challenges and require modern management approaches. Read “Taming Hybrid Cloud Complexity: One Platform for Monitoring Your IT Universe” to discover: The… Continue reading Hybrid Cloud Complexity: One Platform for Monitoring
Hybrid Cloud Complexity: One Platform for Monitoring
Legacy monitoring tools lack the ability to automatically discover, integrate, contextualize, remediate issues, or derive useful insights from data that originates from disparate tools and sources.
How IT Monitoring Facilitates Government Agency IT Modernization
In recent months, a lot has changed in network operations (NetOps). Networks, architectures, and entire operational models have shifted dramatically—disrupting and destabilizing digital business services. Unfortunately, most NetOps teams are still relying on legacy tools and approaches. This white paper offers a look at how the world has changed – and the new capabilities your… Continue reading Seismic Shifts in NetOps: The Case for Modern NetOps Tools
Seismic Shifts in NetOps: The Case for Modern NetOps Tools
Your configuration management database (CMDB) can be a goldmine of information — but only if it contains the right data. With today’s huge volumes of frequently-changing data, discovery and monitoring have become increasingly challenging. Auto-populate and maintain your CMDB with the real-time, contextualized data ScienceLogic captures from your monitored environment. Use the derived insights to… Continue reading Auto-Populate Your CMDB With Relevant & Accurate Data. Enable More Automation.
Auto-Populate Your CMDB With Relevant & Accurate Data. Enable More Automation.
“The journey to AIOps begins with foundational building blocks and capitalizes on service-centric management that eschews the limitations of device-level monitoring and boosts application health, resolution time, and user experience,” said Dave Link, ScienceLogic CEO. “A service-oriented perspective provides context and understanding of relationships and dependencies in IT infrastructure—ultimately impacting service and experience—holistically visualizing risk… Continue reading ScienceLogic Named a Leader – 2020 Forrester AIOps Wave
ScienceLogic Named a Leader – 2020 Forrester AIOps Wave
Cisco IT wanted to digitally transform their IT operations. They looked to ScienceLogic for help. Learn about their challenges and the successes along the way.