BigPanda vs. Splunk Infrastructure Monitoring

If the organization has a proper CMDB asset record then BigPanda features can be utilized to their true potential as it has alert correlation capability. The alert can be redirected to the proper support team using the auto-share feature. This wouldn't be the case where asset records are not updated and the Operations have to manually assign the alerts to support groups.

Incentivized

Splunk Infrastructure Monitoring is well suited for any complicated environment where you have apps and servers across multiple clouds and platforms and products. If you have a data centre where all your apps and servers are in one single network, you could probably get away with older solutions. But for any modern, complex, hybrid-cloud microservices environment, Splunk Infrastructure Monitoring is a must-have.

Incentivized

• Alert correlation feature helps in grouping similar alerts together
• Alert Enrichment to enhance the data after it arrives on the tool
• Integration with multiple tools
• The console is very user friendly and provides ease of administration

Incentivized

• SignalFX handles historical metric aggregation exceptionally well, providing a multifaceted approach to event detection based on anomalies.
• SignalFX's cost is incredibly flexible with their pricing model of DPM (data-point per minute) vs the traditional "per host" model that most monitoring SaaS use.
• SignalFX support is responsive and knowledgeable, very eager to help solve your immediate problems.
• SignalFX integrations is vast and constantly growing, making adoption easy even when multiple different open-source technologies are used in your stack.

Incentivized

• Tool should have a feature to query the data
• The dashboard feature needs improvement
• It should have a dark mode

Incentivized

• Better integration with our clients (native mobile clients SDKs will be great).
• A way to easily tag filters and move them across metrics/formula.
• Alert system to easy false [alarm] and hard to configure.
• Be able to have group more dimensions (and have more values on each).

Incentivized

Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

Incentivized

I find that learning the interface can take some time. We need a better show-and-tell on how the Teams pages, Dashboard Groups, Dashboards and charts delay. Advance SignalFlow is sometimes hard to build. Some better samples of advanced SignalFlow would be helpful. For example, Splunk SPL has a vast resource of examples.

Incentivized

TrueSight didn't provide many customization options. The features provided were primitive as compared to BigPanda. TrueSight was being used just for alert visibility and assignment to a proper support group from a single console. Although Moogsoft had similar features as compared to BigPanda, the user administration and ease of use were a bit complicated. BigPanda provides a much simpler user interface.

Incentivized

They’re not for the same purpose but we’re using NewRelic and Honeycomb for monitoring purposes. NewRelic is used for HTTP client monitoring for system related throughput, error, database and external client monitoring. Honeycomb is used to monitor actual HTTP request/response values. Splunk [Infrastructure Monitoring] is used for real-time application related throughout and error monitoring.

Incentivized

• BIgPanda is very easy to implement and use
• Better than the previous tool, provides more functionality
• BIgPanda's alert enrichment feature very helpful

Incentivized

• Reduced downtime.
• Caused us to get a lot of spam when we redeployed apps and old instances stopped sending metrics. Muting alerts solves this, but people often forget to do it or do it incorrectly.
• Helped us find historical info about instances/apps.

Incentivized