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
Solution: IT Workflow Automation
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
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.
Inside Cisco’s IT Monitoring Makeover
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.
Cisco IT: A Transformational Journey to AIOps
The configuration management database, or CMDB, is perhaps the most important asset for IT operations managers. Responsible for providing a centralized view of IT data, the CMDB can tell you which technologies are being used, where they’re being used, how they’re connected, and who’s using them. It can also help companies increase business agility by… Continue reading Automating Incidents with an Accurate CMDB
Automating Incidents with an Accurate CMDB
Manual, multi-tool processes produce incomplete and inaccurate CMDB data when new services are provisioned, thus leading to lengthy delays in onboarding new technologies. SL1 increases agility, onboards new services faster, and drives more revenue by integrating service requests in the Service Desk with SL1 to automate discovery, population of CMDB, and immediately monitoring the new… Continue reading Auto-Initiate Fulfillment of Service Catalog Requests
Auto-Initiate Fulfillment of Service Catalog Requests
Traditional change management process for creating and updating CIs in CMDB is manual, error prone and time consuming. SL1 increases agility, lowers costs and risk of change by understanding the impact of change on critical business services and apps by consolidating data into single SL1 data lake and applying relational context.