OVERVIEW

The virtualization of physical computers has become the backbone of public and private cloud computing from desktops to data centers, enabling organizations to optimize hardware utilization, enhance security, support multi-tenancy and more. These environments are complex and ephemeral, creating requirements and challenges beyond the capability of traditional monitoring tools that were originally designed for static physical environments. But modern solutions exist, and can bring your virtual environment to new levels of efficiency, performance and scale.

This guide explains the pervasiveness of virtualized environments in modern data centers, the demand these environments create for more robust monitoring and analytics solutions, and the keys to getting the most out of virtualization deployments.

TABLE OF CONTENTS

·        History and Expansion of Virtualized Environments

·        Monitoring Virtual Environments

·        Approaches to Monitoring

·        Why Effective Virtualization Monitoring Matters

·        A Unified Approach to Monitoring Virtualized Environments

·        5 Key Capabilities for Virtualization Monitoring

o   Real-Time Awareness

o   Rapid Root-Cause Analytics

o   End-to-End Visibility

o   Complete Flexibility

o   Hypervisor Agnosticism

·        Evaluating a Monitoring Solution

o   Unified View

o   Scalability

o   CMDB Support

o   Converged Infrastructure

o   Licensing

·        Zenoss for Virtualization Monitoring

In The Forrester Wave: Intelligent Application and Service Monitoring, Q2 2019, Forrester identified the 13 most significant IASM providers in the market today, with Zenoss ranked amongst them as a Leader.

“As complexity grows, I&O teams struggle to obtain full visibility into their environments and do troubleshooting. To meet rising customer expectations, operations leaders need new monitoring technologies that can provide a unified view of all components of a service, from application code to infrastructure.”

Who Should Read This

Enterprise organizations looking for a solution to provide:

• Strong root-cause analysis and remediation
• Digital customer experience measurement capabilities
• Ease of deployment across the customer’s whole environment, positioning themselves to successfully deliver intelligent application and service monitoring
  

Our Takeaways

Trends impacting the infrastructure and operations (I&O) team include:

• Operations leaders favor a unified view
• AI/machine learning adoption reaches 72% within the next 12 months
• Intelligent root-cause analysis soon to become table stakes
• Monitoring the digital customer experience becomes a priority
• Ease and speed of deployment are differentiators