NGINX Plus vs. Splunk Application Performance Monitoring (APM)

Makes our life easy as application admins in securing our applications and making them accessible. We can easily add an application within a few minutes and define the backend servers right away.

Incentivized

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

• Load balancing
• Caching
• App security
• Boost App performance

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

• Update full config via api

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

No reason not to renew it, we are happy with it.

Incentivized

It's been great for us for 3+ years now.

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

We had an issue after upgrading from RHEL 7 to 8, and there were some issues that the security team imposed upon the platform with a scanning tool. We also had a VXLAN environment that was not properly sending a gratuitous arp to the network. NGINX support was instrumental to speedily resolving our issue.

Incentivized

The API and dashboard alone make NGINX Plus a better choice.

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

• More uptime for business critical applications
• Less overhead for administrator to maintain the applications

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