Eco4Cloud Workload Consolidation vs. Foglight

Eco4Cloud is well suited in VMware farms that have standard VM deployments, especially with small VMs, with nothing blocking vMotion and hardware fully compatible with IPMI 2.0 (minimum). It doesn't work well if many VMs are nodes in a Microsoft cluster because they would be unmovable and therefore their host would never be put in stand-by mode. If every host in the cluster has at least one guest VM that is a node of a Microsoft cluster, no host in the cluster will ever be put in stand-by mode.

Strengths [Foglight]

• Monitoring, Alerting and Management of on-prem virtualization and physical servers
• Historical trending and baselining are excellent and being able to compare a problem period against the same sets of data for a period when there was no issue is especially helpful as part of troubleshooting.
• Ease of use for end users is appreciated

Weaknesses [of Foglight]

• Creation and management of custom monitors is a developer level activity requiring Groovy skillset
• Less useful for management of an environment where there is a large amount of custom implementations
• Commitment to longevity of cartridges/packs for specific subsystems
• Ability to create custom schedules/alerts/escalations is only available via a 3rd party product (from a former Quest developer) and is not particularly easy to manage/manipulate
• Lack of API accessibility for external integrations to other analytics (splunk, etc.)

Incentivized

• It consolidates workloads in VMware clusters using an algorithm that seems to work better than VMware DRS. It keeps headroom for workload peaks and to withstand the number of host failures set for the cluster in vCenter.
• If the workload is very variable, Eco4Cloud will not continuously turn a host on and off but it will settle to keep the host running. It sort of "rightsizes" the cluster keeping only the right number of hosts running. This is another main difference when comparing Eco4Cloud with VMware DRS/DPM which strictly follows the workload and sometimes isn't fast enough in turning on the hosts when the workload is ramping-up.
• To do a good job Eco4Cloud needs to analyze the hosts and the VMs. Therefore, the troubleshooting component of Eco4Cloud can figure out if there are problems in the configuration of the hosts (e.g. vMotion settings). It can also determine if a VM is stuck and can't vMotion (e.g. using the physical CD-ROM) or if it's oversized or undersized.
• Something Eco4Cloud has and others don't is a technology named Smart Ballooning. With Smart Ballooning Eco4Cloud recovers unused RAM from the VMs and gives it back to the host way before the host goes over the 94% RAM threshold. This allows us to reach higher levels of overbooking.

• Database monitoring
• Database management suite
• Customization (both monitors and dashboards)

Incentivized

• It would be useful to have a version that works with OpenStack.
• It should be made compatible with VMware VSAN.
• It would be useful to have a version that works with hybrid clouds using the new "vMotion anywhere" or share nothing vMotion feature.

• There are not many problems with this product
• Limited ability to use Foglight itself to solve problems it identifies

Incentivized

We compared the consolidation feature and we obtained exactly the same amount of servers in stand-by. The main difference was that Eco4Cloud turned off the unneeded hosts in 2 days while VMTurbo Operations Manager required one day per host. This behavior is caused by the different algorithms implemented by these two products. Compared to Eco4Cloud, VMware DRS/DPM was very aggressive (we tried it in vSphere 5.0). We haven't tested it with vSphere 6 yet.

Incentivized

• Eco4Cloud causes a reduction in power consumption both on old VMware clusters and especially on new ones.
• It also causes a delay in CapEx investments because you buy more hosts only when really needed.

• Foglight has a positive impact on my company by being a complete monitoring platform that specializes in risk assessment, user diagnosis and management, and server monitoring ensuring a secure business infrastructure through predictive analytics, query analysis, anomaly detection, behavior tracking, troubleshooting, automated discovery, and more.

Incentivized