The above applications have their own use cases. Thousand Eyes or SiteScope is used for URL monitoring and Splunk is used for application monitoring. AppDynamics is also used for application monitoring and can monitor the server very well but it lacks when searching in logs …
Selection of Splunk Application Performance Monitoring was an easy choice, the feature set was what sold us on the product. We were blown away with the capabilities of the dashboard and the AI functionality. The most impressive feature is the support team and how they feel …
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 …
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.
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
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.
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.