Foglight vs. Google Cloud Run

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

For prototyping or quick deployment, it works as an interesting step between containerized deployment (Kubernetes) vs pure Compute Engine (raw servers). It's not well suited for Kubernetes shops, or for teams that would prefer more hardware control.

Incentivized

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

Incentivized

• Can easily run our apps in a docker in Google Cloud Run which has simplified code testing and deployment.
• Can easily scale and does not have any problem when put under a large load.
• Has all the necessary services so you don't need to look for other cloud solutions.
• Pay as you go model so only pay for that you've used and how long you've used it.

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

Incentivized

• Some more use case/ manual/notes to be available on internet
• Cost can be minimized.
• Not able to use in mobile phone

Incentivized

Incentivized

Flexibility of features snd customzing options tha optimized the large process and make it on the the go to reuse the same process in multiple deployments ot rollouts

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

• Improved production deployment times by 50%
• The error analysis time was reduced by 30%, thanks to its logging and monitoring system.
• The rollback is almost immediate, as it easily allows reverting to a previous stable version.

Incentivized