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 drive automation.

The odds are, if you work in enterprise IT, you're using legacy infrastructure and application monitoring tools from major ITOM vendors. And you're not alone. A recently conducted Forrester survey, "The State of IT Operations Management," reveals that 86% of companies are using incomplete, legacy tools for infrastructure and application monitoring.

When you read that something is the "next big thing in IT operations" you probably suspect there's a lot of buzz and hype to follow. And often you'd be right, but with some effort, you can find the truth. It's no different with the buzz around AIOps but knowing what's what and where to start can be quite the effort. But putting buzzwords aside, it looks like AIOps is going to be a permanent fixture. In fact, a recent study by Forrester states that "68% of companies surveyed are actively investing in AIOps-enabled monitoring solutions within the next 12 months."

Reducing costs and accelerating digital transformation is why your IT Management leans on their MSP partners. And as an MSP, you want to differentiate yourself and be able to support your enterprise customers quickly and reliably to drive their business. ScienceLogic's Monitoring as a Service is an MSP-centric, multi-tenanted monitoring platform that enables MSPs to develop new service offerings that deal with a broad case of IT infrastructure elements-whether physical, virtual, or cloud-across networks, virtual and physical services, storage, and applications.

A new approach to IT operations is needed - one that works at machine speed. But to transform operations, IT leaders must commit not only to collecting data, but to also putting automated practices in place that ensure data quality and enrich that data with context to make it actionable.

The move to cloud computing has significant repercussions for network monitoring and management. Cloud computing environments are dynamic, so your tools need to be dynamic as well. Download this eBook to learn about five best practices for multi-cloud monitoring.