Splunk Infrastructure Monitoring vs. Statseeker

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

Statseeker is an excellent choice to monitor a small, medium or large network. It uses SNMP to monitor switches, routers, appliances and really anything that has SNMP. The reports and output you can get from the system are invaluable. The speed of the system compared to other monitoing systems is great. Overall an excellent system.

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

• Extremely fast and responsive.
• It can poll huge amounts of data quickly.
• Excellent reporting features.

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

• The user interface could be improved.
• Support can take some time to respond as they are based in Australia. However, they may be moving to the US.
• More dashboard customization.

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

Support is very good, however, they have been based out of Australia so you have to deal with the time difference. Once you get them they are excellent. I have heard they are shifting some of the company to the US so that should help with support.

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

Both are similar, but I feel Statseeker is more feature-rich and the user interfaces much much faster than NPM. The UI is not quite as good as NPM, but I believe the slimmed-down UI is what allows for such fast query speeds.

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

• Great visualization of problem areas.
• It helps speed up problem resolution.
• Great capacity planning.

Incentivized