Blue Triangle vs. Splunk Application Performance Monitoring (APM)

Amazing help and knowledge has been assembled, but Blue Triangle Group's customer service is exceptional. Because they make us feel like the most important customer every time we speak, they have a genuine belief in our success. You can count on the support team to keep an eye on your account and offer fresh ideas to our discussions.

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

• Ease of usability.
• Very responsive to our business requirements.
• Increase your business revenue.

• 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

• Since percentage change is used instead of a real-time shift in comparison charts, they are more difficult to read and evaluate quickly.
• Unlike other website performance monitoring solutions, we are unable to compare data from different time periods.
• The portal's interface may use some cleaning up.

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

blackfire.io can be easier to analyze for the consumer, but overall get the same result.

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

• The portal's ease of use, regular updates, and the feature roadmap all seem to prioritize the end user and actual use cases
• Having a better understanding of where my site's visitors are going has led to beneficial outcomes for my business

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