Splunk Application Performance Monitoring (APM) vs. Workspace ONE Intelligence for Consumer Apps

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

Crittercism is best as a bread crumb trail, stack track logging service to debug applications when you have an issue detecting a problem in your application. Its strength is not as a real-time logging platform to allow you to view production logs in real-time. However, it would be an extremely beneficial feature for Crittercism to add.

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

• Identifying crashes users are experiencing.
• Allowing us to see how many times the crash occurred.
• Allowing us to see what times the crashes have occurred.

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

• Pointing to exact line number of the crash
• A more explicit navigation bar (a little confusing for the user)
• Third-party API specific crash reporting (instead of just listing the endpoint)

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

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

A similar product we use is Conviva. I personally prefer Crittercism as Conviva seems to miss things fairly often. Critter tends to catch most issues as long as development has set the app up for it. I've had to reproduce issues several times before Conviva catches it whereas Crittercism will catch it on the first try

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

• Allow us to release iOS versions quicker to the app store
• Help us solve bugs and view bread crumb trails on money-making actions within the API
• Points us to problems in the stack trace with a direct correlation to our route creation aspect in the app

Incentivized