Virtual, Cloud Workload Management: 10 Clues It's Time for a System Overhaul

Troubleshooting Not Embedded

Your system identifies potential performance degradation problems, but leaves the troubleshooting and remediation to you.

Too Often in Reactive Mode

You are consistently in reactive "fire-fighting" mode due to alerts from your monitoring solution notifying you of an anomaly or policy breach.

No Real-Time Monitoring

You know if there was a problem five minutes ago, but you don't have an up-to-the-second status of your environment.

No Central Control

You have more than one dashboard or you have to drill down several levels to access details regarding the health of your environment.

No Provision for More Than One Hypervisor

You now have a multi-hypervisor environment, but you only have a single-hypervisor workload management system.

No Preventative Power in the System

Your system is intelligent enough to tell you what could happen next, but can't prevent it from occurring.

No Workload Placement Optimization

Your system makes workload placement decisions based on best "first fit" within a cluster, rather than optimizing placement for the most efficient use of available infrastructure.

Automation Is Lacking

Your system relies on your interpretation of the data collected and your decision making, rather than automatically taking action.

No Cloud Implementation Support

You are building out a cloud and your workload management system doesn't support cloud implementations.

Limited Channels for Gaining Workload Projection Insight

Your system bases resource projections only on future capacity requirements, rather than workload performance requirements.