Foglight vs. Red Hat Advanced Cluster Management for Kubernetes

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

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Well suited for - Large-scale Edge deployments of OpenShift instances. Policy-based consistency for all workloads is Less appropriate for - Small-scale deployments. Stand-alone deployments of K8s clusters. Deployments in the same data center.

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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Continuous deployment of other OpenShift instances.
• Controls clusters and applications from a single console.
• Built-in Security & compliance.

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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Initial deployment of the ACM itself needs to be made easy.
• Dependency on the Software versions of underlying open shift workloads during upgrades.
• LCM of ACM itself.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

I have also used TNA by Google Cloud, but that is not mature enough as ACM. Right now, ACM is the best choice as a cluster manager for private cloud data centers.

• 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

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Reduced the deployment duration of individual nodes by 50%.
• Acts as a central manager for all the clusters.
• Provides a lot of infrastructure options (storage, networking, etc) to build instances of your choice.