Splunk Application Performance Monitoring (APM) vs. Splunk Infrastructure Monitoring

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

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

• Detect and Troubleshoot, which allows team to eliminate errors.
• Dashboard creates a one stop location for environment health
• Provides visibility, access to logs and user data real time.

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

• I wish Splunk Application Performance Monitoring could integrate with packet capture and analysis tools and provide the integrated analysis results on each tier of the application

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

Splunk is a great tool for log mining. It is less time-consuming and easy to use. It provides high security, it has customisable dashboards. Furthermore, it acts as a search head, and it gives real-time status. It has the ability to collect data from any source and multiple sources, and it can correlate them.

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

It is good that the correlation analysis and the cause of the failure can be analyzed more extensively through the collection of many data. It is good because it provides a user interface (usability) well and can be used conveniently.
It is good because it can utilize anomaly detection through various AI-based ML models.

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

• It gave us more quicker alerts in a organize way to distribute to specific audience.
• Helped us to improve our uptime by getting pro-active alerts via emails
• More collaboration in a DevOps culture

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