BMC AMI Cloud vs. Foglight

It works well with mainframe modernization

Incentivized

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

• Modernization and Devops
• Data Sharing analytics
• Hybrid cloud integration
• Cost optimization
• Secure
• compliance

Incentivized

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

Incentivized

• In AWS
• Azure
• GPC

Incentivized

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

Incentivized

Complex integration challeges it has, and initial cost is little high But it works wonder in mainframe modernization

Incentivized

Deep integration with IBM mainframes,strong hybrid cloud scenarios, Focus on modernization of legacy system Focus on application migration and modernization Very scalable it has hybrid cloud flexibility Includes tools for workload Devops integration

Incentivized

Incentivized

• Improved agility
• Cost Efficiency
• Enhanced data analytics
• Increased security

Incentivized

• 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