IBM Instana vs. Splunk Application Performance Monitoring (APM)

I would recommend IBM Instana based on its strengths in automating application performance monitoring, dynamic tracing, and its ability to handle modern, containerized environments effectively. The automatic discovery and mapping feature, along with AI-powered anomaly detection, provide valuable insights for proactive issue resolution. However, I would consider factors such as the organization's specific technology stack, scalability requirements, and budget constraints. Conducting a thorough evaluation, including a trial or proof of concept, would be essential to ensure that IBM Instana aligns with our unique needs and contributes positively to our technology and business objectives.

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

• Collecting Kubernetes and Infra level logs and presenting in easy to understand visuals.
• Tracing the end-to-end journey of an event and also categorizing by technology and Endpoints
• Built-in and custom alerts help to monitor almost all of scenarios without much additional configuration.
• Ability to create Applications to logical group important flows

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

• I believe that the "live" option in monitoring does not truly update the status in real-time, thus I must manually update to feel comfortable.
• The call analysis tool might be improved, third-party resources are restricted, and the pricing is slightly more than competitors in comparable categories.

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

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 chose IBM Instana for several reasons, and the most important one is that we didn't have to make changes in our code for nearly all of our applications for it to work. We are happy with the decision we made to use IBM Instana.

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

• System down time is shortened as our ability to troubleshoot issues goes up.
• Potential downtime is stopped as we are able to slow down calls/ availability of calls in response to monitoring the dashboard.
• We are able to react to issues quickly through the smart alert system rather than manual checks.

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